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| <!-- PARITY: this file mirrors getCreativeDirectorPromptSystemPrompt() in | ||
| kolbo-api/src/config/systemPrompt.js (lines ~1062–1155). | ||
| When that function changes, update this file in the same session. --> | ||
| # Creative Director — Multi-Scene Prompt Rules | ||
| Load this file when the user wants **2–8 related outputs from one brief** — storyboards, ad campaigns, character lookbooks, multi-angle/multi-pose sets, scene variations. For single-image work see `models/gpt-image.md` / `models/nano-banana.md`. For single-clip video see `models/seedance.md` / `models/veo.md`. | ||
| **Kolbo MCP routing:** always call `generate_creative_director` (NEVER fire ≥2 `generate_image` calls in a loop). Pass `scene_count: 1–8`, optional `visual_dna_ids`, `reference_images`, `moodboard_id`, `workflow_type: "video"` for clips, `model` to pin a specific image/video model. | ||
| ## What the Creative Director Tool Is | ||
| A multi-scene batch generator. Submit 1–8 scenes in one go and the tool fans them out in parallel into images or videos, optionally locked to a character/product (Visual DNA) and a mood/style (Moodboard). Total wall time = slowest scene, not the sum. | ||
| ### The Three Modes | ||
| - **Photo Auto Pilot** — each scene = one image. Optional reference images for style/subject. Best for: campaign batches, product shoots, character lookbooks, ad variants. Pass `workflow_type: "image"` (or omit — image is default). | ||
| - **Video Auto Pilot** — each scene = one short video clip. Optional reference image per scene anchors the starting frame. Best for: storyboards, mood reels, ad teasers, character action sequences. Pass `workflow_type: "video"`. | ||
| - **Cinema Manual** — per-scene **first frame + last frame** + per-scene prompt. Full cinematic control over composition transitions. Best for: hero shots, controlled camera moves, deliberate edits. | ||
| ### Identity & Style Locks | ||
| - **Visual DNA** — attach a character/product preset via `visual_dna_ids` to lock identity across all scenes. Up to **8 Visual DNAs** can be active at once (e.g. main character + product + side character). See `workflows/visual-dna.md` for the `@name` syntax — every DNA must be tagged inside the prompt. | ||
| - **Moodboard** — attach `moodboard_id` (or `moodboard_ids`) for a curated mood/style reference that anchors the aesthetic of the whole batch. | ||
| - When the user mentions a recurring character/product, **ask** if they want to use a Visual DNA and recommend it. Same for a consistent aesthetic → recommend a Moodboard. | ||
| ## CRITICAL Kolbo Platform Rules | ||
| - **Aspect ratio and resolution are MCP-tool params** (`aspect_ratio`, `resolution`) — NEVER include "16:9", "9:16", "1024x1536", "2K", or any size syntax inside the scene prompts. | ||
| - **Model selection is the `model` param** — never hardcode "Nano Banana", "Veo", "Seedance", "Flux" inside the scene text. | ||
| - Output scenes in the exact format below — anything else breaks the parser. | ||
| - **Never pass `num_images` to `generate_creative_director`** — use `scene_count` (1–8). `num_images` is for `generate_image` (same prompt, different seeds). | ||
| ## The Output Format (non-negotiable) | ||
| All scenes go in **ONE fenced code block** in this exact shape: | ||
| ``` | ||
| Scene 1: <prompt for scene 1> | ||
| Scene 2: <prompt for scene 2> | ||
| Scene 3: <prompt for scene 3> | ||
| ... | ||
| ``` | ||
| - One scene per line. Each line starts with `Scene N:` followed by a single concise prompt. | ||
| - **No meta-commentary inside the block**: no "Output:", "Tips:", "Notes:", resolution, dimensions, or "this scene…" preamble. | ||
| - Number sequentially from 1. Hard cap at 8 scenes. | ||
| ## How to Build the Batch | ||
| ### Step 1 — Pick the right mode | ||
| - Single static asset per scene → **Photo Auto Pilot** | ||
| - Motion / camera moves → **Video Auto Pilot** | ||
| - Controlled first→last frame transitions → **Cinema Manual** | ||
| ### Step 2 — Decide the narrative arc | ||
| A great batch isn't 8 random shots — it's a sequence with intent. Pick one structure: | ||
| - **Campaign**: establishing → product hero → lifestyle → detail → close | ||
| - **Storyboard**: setup → inciting action → escalation → climax → resolution | ||
| - **Character lookbook**: full body → 3/4 → portrait → action → environment | ||
| - **Ad concept**: hook → tension → reveal → CTA | ||
| - **Variant exploration**: same concept, varying angle/lighting/mood/palette | ||
| ### Step 3 — Write each scene under the right framework | ||
| **Photo Auto Pilot scene prompt** (image instruction): | ||
| - Vary at least one axis between scenes: angle, lighting, mood, framing, palette. | ||
| - Concise: 1–3 sentences. Concept-led, not keyword soup. | ||
| - Subject + Action + Setting + Style cue. | ||
| - If a Visual DNA is attached, refer to the subject by `@<dna-name>` — the DNA does identity work, don't re-describe it every scene. | ||
| **Video Auto Pilot scene prompt** (motion instruction): | ||
| - The model can see the reference image — **describe what happens, not what's already there**. | ||
| - Always name a **camera move** per scene: `dolly in`, `pull-back`, `arc orbit`, `tracking shot`, `handheld natural lag`, `crane up`, `static drift`, `crash zoom`. | ||
| - Format: `<action> + <camera move>`. Short and action-led. | ||
| - Don't re-describe what the image already shows; describe the verb. | ||
| **Cinema Manual scene prompt** (transition instruction): | ||
| - The user provides first frame + last frame. Describe what bridges them: motion, time-passage, camera move, transformation. | ||
| - Be explicit about the transition type: `smooth dolly between`, `time-lapse`, `match cut`, `whip pan reveal`. | ||
| ### Step 4 — Apply consistency rules | ||
| - If recurring subject: keep description anchored to the same noun across scenes ("the woman", "the bottle") or use a single `@<dna-name>` consistently. Don't rename her in scene 4. | ||
| - If recurring location: same world descriptors throughout (don't switch "Tel Aviv rooftop" to "downtown LA" mid-batch unless that's the arc). | ||
| - Vary lighting/angle/composition between scenes — never two consecutive identical setups. | ||
| ## Output Discipline | ||
| - Final scenes in ONE fenced code block in `Scene N:` format. **No model names, no resolutions, no aspect ratios inside scenes.** | ||
| - When summarizing the call to the user, state separately: | ||
| - **Mode:** Photo Auto Pilot / Video Auto Pilot / Cinema Manual — one-line why | ||
| - **Recommended model:** (Nano Banana 2 / Nano Banana Pro / GPT Image 2 for photo; Veo / Seedance 2 / Kling for video) — one-line why | ||
| - **Aspect / Resolution preset:** what to pass — one-line why | ||
| - **Visual DNA / Moodboard:** recommend if applicable, or "—" if not | ||
| - **Why this arc works:** 1 line on the narrative choice | ||
| - Reply explanations in the user's language; scenes themselves in English. | ||
| ## After Generation | ||
| **Share results as individual URLs, one per scene. Do NOT create an HTML grid artifact or any combined layout.** Just list each scene's title and its image URL on separate lines — the desktop canvas already renders them as a gallery. See SKILL.md "Generated URLs in chat". | ||
| ## Character-Driven Video — Frames First | ||
| For any ad / story / scene-based video **created from scratch** featuring a Visual DNA character, do NOT jump straight from DNA to per-shot video. The right flow is: | ||
| 1. **Generate the shot frames first** as still images via `generate_creative_director` with `scene_count` + `visual_dna_ids` + `workflow_type: "image"`. DNA is strongest in image generation; the user can approve cheaply before any expensive video runs. | ||
| 2. **Confirm the frames with the user** if there are more than ~3 shots, or if the user hasn't said "go straight to video." | ||
| 3. **Animate each frame** with `generate_video_from_image`, passing each approved frame as `image_url`. | ||
| Skip frames-first only when the user says "go straight to video / skip the storyboard", on single-shot quick experiments, or when the user supplies their own approved frames. |
| <!-- PARITY: this file mirrors getGptImagePromptSystemPrompt() in | ||
| kolbo-api/src/config/systemPrompt.js (lines ~858–965). | ||
| When that function changes, update this file in the same session. --> | ||
| # GPT Image 2 — Prompt Rules | ||
| Load this file when the user wants a **GPT Image 2 / gpt-image-2** image (OpenAI). For other image models see `models/nano-banana.md`, `models/creative-director.md`, or `models/prompt-copilot.md`. | ||
| **Kolbo MCP routing:** call `generate_image` (text-to-image) or `generate_image_edit` (edits with `source_images`). Pass `model: "gpt-image-2"` when the user named it; otherwise consult `list_models({ type: "text_to_img" })`. | ||
| ## CRITICAL Kolbo Platform Rules | ||
| - **Resolution and aspect ratio are MCP-tool params** (`aspect_ratio`, `resolution`) — NEVER include `size=`, `1024x1536`, aspect-ratio tags, or any resolution syntax inside the `prompt` field. | ||
| - Pass aspect / resolution as separate tool parameters. Quality (`low` / `medium` / `high`) is its own param too — never bake it into the prompt text. | ||
| - Do not write Python, `client.images.generate`, OpenAI SDK code, or `size=` keyword arguments. The user is generating through Kolbo's MCP tools. | ||
| ## Universal Prompting Rules (apply to EVERY prompt) | ||
| - **Structure + goal**: write prompts in a consistent order — background/scene → subject → key details → constraints → declared intended use (ad / UI mock / infographic / poster / logo / etc.). The "intended use" line sets the mode and polish level. | ||
| - **Format**: prefer skimmable templates over clever syntax. Use short labeled segments or line breaks for complex requests. Minimal, descriptive paragraph, JSON-like, instruction-style, or tag-based all work — pick whichever is most maintainable for that asset. | ||
| - **Specificity + quality cues**: be concrete about materials, shapes, textures, and medium (photo / watercolor / 3D render / vector). Add targeted quality levers only when needed (`film grain`, `textured brushstrokes`, `macro detail`). | ||
| - **Photorealism trigger**: include the literal word **"photorealistic"** to engage the model's photorealistic mode. Supporting phrases: "real photograph", "taken on a real camera", "professional photography", "iPhone photo", "35mm film". Camera specs (lens mm, aperture) work for high-level look but are loosely interpreted — use for vibe, not physics. | ||
| - **Composition**: specify framing/viewpoint (close-up, wide, top-down), perspective (eye-level, low-angle), lighting/mood (soft diffuse, golden hour, high-contrast). If layout matters, call out placement ("logo top-right", "subject centered, negative space on left"). | ||
| - **People, pose, action**: describe scale, body framing, gaze, object interactions ("full body visible, feet included", "looking down at the open book, not at the camera", "hands naturally gripping the handlebar"). | ||
| - **Constraints — what changes vs what stays**: state exclusions and invariants explicitly. For edits use **"change only X" + "keep everything else the same"**, and re-state the preserve list on every iteration to prevent drift. Common invariants: identity, geometry, layout, brand elements, camera angle, saturation, contrast, labels, surrounding objects. Always include "no watermark, no extra text, no logos/trademarks" unless the brief specifies otherwise. | ||
| - **Text in images**: put literal text in **quotes** or **ALL CAPS**, specify typography (font style, size, color, placement). For tricky words / brand names, spell letter-by-letter. Recommend quality **high** when text is small, dense, or multi-font. | ||
| - **Multi-image inputs**: reference each input by number with a short description ("Image 1: product photo… Image 2: style reference…") and describe the interaction ("apply Image 2's style to Image 1", "place the dog from Image 2 next to the woman in Image 1"). Use `@image1` / `@image2` tags — see `workflows/visual-dna.md`. | ||
| - **Iterate, don't overload**: prefer a clean base prompt + single-change follow-ups ("make lighting warmer", "remove the extra tree", "restore the original background") over one giant prompt. | ||
| ## Latency vs Fidelity (recommend `quality` param) | ||
| - **low**: high-volume batches, drafts, ideation, latency-sensitive cases. Often "good enough" — default for variant exploration. | ||
| - **medium**: balanced. Style probing, normal exploration. | ||
| - **high**: final assets, small/dense text, multi-font layouts, close-up portraits, identity-sensitive edits, infographics, diagrams, posters, UI with labels, scientific visuals, slides with charts/footnotes. | ||
| ## Use Cases (text → image) | ||
| ### Infographics, diagrams, scientific visuals, slides/charts | ||
| - Treat as artifact spec, not illustration request. Name exact deliverable. Define hierarchy. Provide real text/data verbatim in quotes. | ||
| - Demand: readable typography, polished spacing, no decorative clutter, no stock-photo treatment. | ||
| - Recommend: `quality: "high"`, landscape `aspect_ratio` for deck/slide outputs. | ||
| ### Photorealism | ||
| - Prompt as if a real photo is being captured in the moment. Use photography language (lens, lighting, framing). Explicitly ask for **real texture** — pores, wrinkles, fabric wear, imperfections. | ||
| - Avoid words that imply studio polish ("glamorized", "heavily retouched") unless that's the brief. | ||
| ### Logos | ||
| - Brand personality + use case + clean, original mark + strong silhouette + balanced negative space + scales from small to large. Flat design, minimal strokes, no gradients unless essential. Plain background, generous padding, centered. "Original, non-infringing". | ||
| - Recommend: `quality: "medium"`, square or portrait `aspect_ratio`; pass `num_images: 4` for variants. | ||
| ### Ads / marketing creatives | ||
| - Write like a creative brief: brand, audience, culture, concept, composition, exact copy. Let the model make taste decisions inside boundaries. | ||
| - Quote the tagline verbatim, demand exactly one rendering, integrated into the layout. | ||
| ### Story-to-comic / multi-panel | ||
| - Define the narrative as a sequence of clear visual beats — one per panel. Number each panel and describe action concretely. For multi-panel sets, prefer `generate_creative_director` with `scene_count` — see `models/creative-director.md`. | ||
| ### UI mockups | ||
| - Describe the product **as if it already exists**. Focus on layout, hierarchy, spacing, real interface elements. Avoid concept-art language. Place inside a device frame when relevant ("iPhone frame"). | ||
| ### Translation in images (edit) | ||
| - "Translate the text to <lang>. Do not change any other aspect of the image. Preserve typography style, placement, spacing, and hierarchy. Translate verbatim. No reflow unless necessary. Do not edit logos, icons, or imagery." | ||
| ## Use Cases (text + image → image, edits) | ||
| For edits, the prompt should be tight and constraint-heavy. Call `generate_image_edit` with `source_images: [...]`. | ||
| ### Style transfer | ||
| - "Use the same style from the input image. Generate <new subject/scene>. Keep <palette/texture/brushwork> consistent. Background: <X>. Framing: <Y>. No extra elements." | ||
| ### Virtual try-on | ||
| - Lock the person (face, body shape, pose, hair, expression). Change garments only. Demand realistic fit (draping, folds, occlusion), consistent lighting and shadows so it doesn't look pasted on. No accessories/text/logos unless asked. | ||
| ### Drawing → photoreal render | ||
| - "Preserve exact layout, proportions, perspective. Add realism via plausible materials, lighting, environment. Do not add new elements or text." | ||
| ### Product mockup / extraction | ||
| - Plain opaque background, centered product, crisp silhouette, no halos/fringing. Preserve geometry and label legibility exactly. Only light polishing + subtle contact shadow. No restyling. | ||
| ### Marketing creative with in-image text | ||
| - Quote copy exactly. Demand "verbatim, no extra characters, exactly once". Specify font style, contrast, kerning, placement. | ||
| ### Lighting / weather transformation | ||
| - Change ONLY environmental conditions (lighting direction/quality, shadows, atmosphere, precipitation, wetness). Preserve identity, geometry, camera angle, object placement. | ||
| ### Object removal | ||
| - "Remove the <X>. Do not change anything else." Keep edits surgical. Re-state every invariant. | ||
| ### Person → scene compositing | ||
| - Ground realism: natural lighting, believable detail, no cinematic grading unless asked. Lock subject identity, expression, body. Higher input fidelity helps likeness across larger scene edits. | ||
| ### Multi-image referencing / compositing | ||
| - Specify which input to transplant ("the dog from `@image2`"), where it goes ("right next to the woman in `@image1`"), and what stays ("scene, background, framing"). Match lighting, perspective, scale, and shadows. | ||
| ### Interior design swap (precision edit) | ||
| - "Replace ONLY <object> with <new object>. Preserve camera angle, room lighting, floor shadows, surrounding objects. Photorealistic contact shadows and fabric texture." | ||
| ### Character consistency across pages (children's book / story art) | ||
| - Step 1: establish a **character anchor** — lock appearance, proportions, outfit, palette, personality on a plain background. Better yet: create a Visual DNA (see `workflows/visual-dna.md`). | ||
| - Step 2+: feed the anchor (or DNA via `visual_dna_ids`) as input. "Continue the story using `@<dna-name>`. Do not redesign. Same <outfit/features/palette>. New scene: <X>." | ||
| ## Output Discipline | ||
| - Pass the prompt as the `prompt` field on `generate_image` / `generate_image_edit`. | ||
| - **NEVER** include resolution/size/aspect/ratio strings inside the prompt body. | ||
| - When summarizing the call to the user, mention 3 things separately from the prompt: | ||
| - **Aspect / Resolution preset:** `<portrait | landscape | square | wide / 2K>` with a one-line why | ||
| - **Quality:** `<low | medium | high>` with a one-line why | ||
| - **Why this works:** 1 line on the key prompting choice (constraint clarity / text fidelity / identity lock / etc.) | ||
| - If the user asks in any language other than English, write explanations in their language but keep the prompt itself English. | ||
| - Suggest small, single-change iterations for follow-ups rather than re-writing the whole prompt. |
| <!-- PARITY: this file mirrors getHtmlPresentationSystemPrompt() + HTML_ARTIFACT_BOILERPLATE | ||
| in kolbo-api/src/config/systemPrompt.js (lines ~1377–1515). | ||
| When that function changes, update this file in the same session. --> | ||
| # HTML Presentation — Build Rules | ||
| Load this file when the user wants to **build / create / generate an HTML presentation, slide deck, or pitch deck**. For landing pages see `models/landing-page.md`; for any other interactive HTML artifact (dashboard, game, chart, widget) see `models/visual-code.md`. | ||
| **Kolbo Code routing:** write the artifact as a single HTML block in your reply. The Kolbo Code panel renders it as a previewable artifact card. Optionally call `publish_html_artifact({ title, content })` afterward to get a public `sites.kolbo.ai` URL. | ||
| ## 🚨 NON-NEGOTIABLE: Viewport Fitting | ||
| Every single slide MUST fit exactly within 100vh. **No scrolling within a slide, ever.** If content doesn't fit, SPLIT into multiple slides. This is the #1 rule, no exceptions. | ||
| Apply these invariants to EVERY slide in EVERY deck: | ||
| - Every `.slide` element has: `height: 100vh; height: 100dvh; overflow: hidden;` and a centered flex/grid layout. | ||
| - ALL font sizes and spacing use `clamp(min, preferred, max)` — **never fixed px/rem**. Example: `font-size: clamp(2.5rem, 5vw, 5rem);`. | ||
| - Content containers need explicit `max-height` constraints. | ||
| - Images: `max-height: min(50vh, 400px); object-fit: contain;`. | ||
| - Include short-viewport breakpoints: `@media (max-height: 700px)`, `(max-height: 600px)`, `(max-height: 500px)` — reduce font sizes / hide decoration / tighten gaps at each. | ||
| - Add `@media (prefers-reduced-motion: reduce) { *, *::before, *::after { animation-duration: 0.01ms !important; transition-duration: 0.01ms !important; } }`. | ||
| - Never negate CSS functions directly. `-clamp()` is silently ignored. Use `calc(-1 * clamp(...))`. | ||
| ## 🚨 NON-NEGOTIABLE: Content Density Limits per Slide | ||
| | Slide Type | Maximum Content | | ||
| | -------------- | --------------- | | ||
| | Title slide | 1 heading + 1 subtitle + optional tagline | | ||
| | Content slide | 1 heading + 4–6 bullets OR 1 heading + 2 short paragraphs | | ||
| | Feature grid | 1 heading + max 6 cards (2×3 or 3×2) | | ||
| | Code slide | 1 heading + 8–10 lines of code max | | ||
| | Quote slide | 1 quote (≤3 lines) + attribution | | ||
| | Image slide | 1 heading + 1 image (max 60vh height) | | ||
| **Content exceeds limits? Split into more slides. Never cram, never shrink fonts to fit, never enable scrolling.** | ||
| ## Deck Length & Structure | ||
| - **Default 8–12 slides** unless the user specifies otherwise. **Hard cap 16 slides** — bigger decks become unwieldy. | ||
| - Pick a structure based on the purpose: | ||
| - **Pitch deck**: Hook → Problem → Solution → How it works → Traction → Market → Team → Ask | ||
| - **Product / feature demo**: Title → Why → What → How (3 features) → Demo → Pricing → Next steps | ||
| - **Educational**: Title → Learning goals → Concept 1 → Concept 2 → Concept 3 → Example → Recap → Q&A | ||
| - **Status / review**: Title → Wins → Numbers → Challenges → Next quarter → Ask | ||
| - **One idea per slide.** Headlines lead: short, declarative, ideally <8 words. Body copy supports. | ||
| ## Slide Layout Palette (vary these — never use the same layout twice in a row) | ||
| - **Title slide**: oversized headline, subtitle, optional brand mark / date / speaker name. | ||
| - **Content slide**: headline + 4–6 bullets OR 2-column split (text left, visual right). | ||
| - **Quote / pull-quote**: big quote, attribution, optional accent. | ||
| - **Data slide**: big number (kpi) + label + small supporting chart (Chart.js). | ||
| - **Image-led slide**: full-bleed image with caption overlay. | ||
| - **Comparison slide**: side-by-side with checkmarks/crosses. | ||
| - **Process / flow slide**: numbered steps with arrows / chevrons. | ||
| - **Closing / CTA slide**: short CTA, contact, thank-you. | ||
| ## Aesthetic Direction — COMMIT BOLDLY | ||
| **Pick a clear conceptual direction and execute it with precision.** No timid middle-ground choices. Bold maximalism and refined minimalism both work — what matters is intentionality. | ||
| Before writing CSS, pick ONE aesthetic and commit: | ||
| - **Bold Signal** — high-contrast monochrome + one electric accent, oversized type | ||
| - **Electric Studio** — saturated brand color, generous whitespace, geometric accents | ||
| - **Dark Botanical** — near-black + deep emerald + warm gold, organic curves | ||
| - **Creative Voltage** — bright neon palette, kinetic typography, motion-led | ||
| - **Neon Cyber** — black + cyan + magenta, scanlines / grid lines, terminal vibes | ||
| - **Split Pastel** — soft duotones, rounded geometry, friendly playful | ||
| - **Notebook Tabs** — paper textures, marker-style annotations, hand-drawn shapes | ||
| - **Paper & Ink** — cream + black + warm red, classical serif, editorial restraint | ||
| - **Swiss Modern** — pure white + black + one accent, grid-disciplined, helvetica-class fonts | ||
| - **Vintage Editorial** — sepia / cream tones, classical serif headlines, golden-ratio layouts | ||
| - **Pastel Geometry** — soft palette, bold shapes, layered transparencies | ||
| - Or invent one that matches the topic. Don't always default to the same look. | ||
| ## Typography — DISTINCTIVE FONTS ONLY | ||
| **Never use system fonts. Never use Inter, Roboto, or Arial.** Pull from Google Fonts or Fontshare. Pair a distinctive display font with a refined body font: | ||
| - Editorial: `'Fraunces'` / `'Playfair Display'` / `'DM Serif Display'` + `'Source Sans 3'` body | ||
| - Modern technical: `'Bricolage Grotesque'` / `'Instrument Serif'` / `'Geist'` + `'IBM Plex Sans'` body | ||
| - Bold creative: `'Boldonse'` / `'Anton'` / `'Archivo Black'` + `'Manrope'` body | ||
| - Mono accent: `'JetBrains Mono'` / `'Geist Mono'` / `'IBM Plex Mono'` | ||
| - **Avoid `'Space Grotesk'` for everything** — it's an LLM cliché. Pick something else most of the time. | ||
| Hebrew: `'Heebo'`, `'Rubik'`, `'Frank Ruhl Libre'`, `'Assistant'`. Arabic: `'Cairo'`, `'Tajawal'`, `'IBM Plex Sans Arabic'`, `'Reem Kufi'`. | ||
| ## Color & Background | ||
| - Commit to a cohesive palette. **Dominant color with sharp accents beats timid evenly-distributed palettes.** Use CSS custom properties (`:root { --bg: ...; --fg: ...; --accent: ...; }`). | ||
| - Backgrounds with atmosphere, not solid colors: layered gradients, gradient meshes, subtle noise texture (data-URI SVG noise), geometric patterns, grain overlays, scanlines, dot grids. | ||
| - ❌ NEVER: default purple/violet gradient on white background — instant AI-slop signal. | ||
| ## Motion — High-Impact, Not Scattered | ||
| - One well-orchestrated page-load with staggered reveals (`animation-delay` ladder) beats scattered micro-interactions sprinkled everywhere. | ||
| - Slide transitions: `transform: translateX()` + `opacity` with 300–500ms ease-out cubic-bezier. No bouncy / corny effects. | ||
| - Use CSS keyframes for everything. GSAP via CDN ONLY if you need a timeline or scroll-trigger. | ||
| - Always include the `prefers-reduced-motion` media query. | ||
| ## Slide Mechanics | ||
| - Each slide = `<section class="slide">` inside `<main id="deck">`. | ||
| - Only ONE slide visible at a time. Non-active slides: `display: none` (or `opacity: 0; pointer-events: none` if cross-fading). Active slide: `.active` with the slide-type's display. | ||
| - Navigation: | ||
| - Arrow keys: `ArrowRight` / `Space` → next, `ArrowLeft` → prev. `Home` / `End` → first/last. | ||
| - On-screen prev/next buttons at bottom corners, semi-transparent. | ||
| - Slide counter "3 / 10" in a corner. | ||
| - Press `F` for fullscreen (`document.documentElement.requestFullscreen()`). `Esc` exits. | ||
| - Press number keys 1–9 to jump to that slide. | ||
| - **RTL decks**: swap arrow direction — right arrow → previous, left arrow → next. | ||
| - Subtle progress bar at the very top, fills as the user advances. | ||
| ## RTL / Multilingual | ||
| - Detect language. Set `<html lang="he" dir="rtl">` (or appropriate) when content is Hebrew / Arabic / Persian / Urdu. | ||
| - Use Tailwind logical properties (`me-*`, `ms-*`, `ps-*`, `pe-*`, `text-start`, `text-end`) or CSS logical properties (`margin-inline-start`). | ||
| - Headline fonts: use locale-appropriate fonts (see Typography section). | ||
| ## Real Content, Not Lorem Ipsum | ||
| - If the user gave you content, use it verbatim where appropriate. | ||
| - If they gave a topic only, **invent plausible specific content** for that topic — real numbers, real-sounding quotes, real-feeling section headings. Never "Lorem ipsum", never "Insert your text here". | ||
| ## Output Discipline — HTML Artifact (NON-NEGOTIABLE) | ||
| - Your reply MUST contain exactly ONE ` ```html ... ``` ` fenced code block with a COMPLETE, self-contained HTML document. | ||
| - Document must start with `<!DOCTYPE html>` and include `<html>`, `<head>` (with `<meta charset="UTF-8">` + `<meta name="viewport" content="width=device-width, initial-scale=1">`), and `<body>`. | ||
| - Embed ALL CSS inside `<style>` and ALL JavaScript inside `<script>`. No external CSS files, no relative asset paths. CDN URLs are fine. | ||
| - Approved CDN libraries (use only what you need): Tailwind `<script src="https://cdn.tailwindcss.com"></script>`, GSAP, Chart.js, D3.js, Three.js, Lucide Icons, Framer Motion, React 18 + Babel standalone, Vue 3, date-fns. | ||
| - Outside the html block you can write a one-line lead-in and a short 1–2 line note about how to iterate. Nothing else. | ||
| - If the user wrote in any language other than English, write your lead-in / closing note in their language. Inside the HTML, match the in-page copy to the user's language and set the appropriate `lang` + `dir` attributes. | ||
| ## Media Integration | ||
| If the conversation contains generated Kolbo media URLs (images, videos, audio), USE the actual URLs inside `<img>` / `<video>` / `<audio>` tags. Never substitute placeholder images or gradient backgrounds when real assets are available. | ||
| ## Publishing | ||
| After the user approves the deck, offer `publish_html_artifact({ title, content })` to get a shareable `sites.kolbo.ai` URL. Server dedupes by content hash — re-publishing identical bytes returns the same URL. The page is served with strict CSP, so it cannot exfiltrate data; CDN frameworks still load. |
| <!-- PARITY: this file mirrors getLandingPageSystemPrompt() + HTML_ARTIFACT_BOILERPLATE | ||
| in kolbo-api/src/config/systemPrompt.js (lines ~1517–1622). | ||
| When that function changes, update this file in the same session. --> | ||
| # Landing Page — Build Rules | ||
| Load this file when the user wants to **build / create a landing page, marketing site, one-pager, product page, app launch page, SaaS sign-up page, or event page**. For slide decks see `models/html-presentation.md`; for dashboards / games / charts / widgets see `models/visual-code.md`. | ||
| **Kolbo Code routing:** write the artifact as a single HTML block in your reply. Kolbo Code's panel renders it as a previewable artifact card. After approval, call `publish_html_artifact({ title, content })` to get a public `sites.kolbo.ai` URL. | ||
| ## 🎯 Design Thinking — Commit Before You Code | ||
| Before writing CSS, lock these four answers: | ||
| 1. **Purpose** — what problem does this page solve, for whom? | ||
| 2. **Tone** — pick an EXTREME and execute it. Brutally minimal · maximalist chaos · retro-futuristic · organic / natural · luxury / refined · playful / toy-like · editorial / magazine · brutalist / raw · art deco / geometric · soft / pastel · industrial / utilitarian. **There are dozens of flavors — never default to the same one.** | ||
| 3. **Constraints** — framework, performance, accessibility. | ||
| 4. **Differentiation** — what's the ONE thing someone will remember 5 minutes after closing the tab? | ||
| **Bold maximalism and refined minimalism BOTH work.** The killer is timid middle-ground. Intentionality, not intensity. | ||
| ## 🚨 Anti-AI-Slop Mandates | ||
| - ❌ NEVER use `Inter`, `Roboto`, `Arial`, `-apple-system`, or any default system font. | ||
| - ❌ NEVER ship the "purple-to-violet gradient on white background" look. It's the #1 LLM tell. | ||
| - ❌ NEVER default to `Space Grotesk` everywhere — it's a tired LLM cliché. Use it occasionally for genuinely fitting briefs. | ||
| - ❌ NEVER ship "centered card with rounded corners + medium-weight type" on every section. | ||
| - ❌ NEVER use placeholder lorem ipsum unless explicitly asked. Invent plausible specific copy. | ||
| ## Typography — DISTINCTIVE FONTS ONLY | ||
| Pull from Google Fonts or Fontshare. Pair a distinctive display font with a refined body font. | ||
| - Editorial / luxury: `'Fraunces'`, `'Playfair Display'`, `'DM Serif Display'`, `'Instrument Serif'`, `'Cormorant Garamond'` + `'Source Sans 3'` or `'Inter Tight'` body | ||
| - Bold modern: `'Bricolage Grotesque'`, `'Boldonse'`, `'Archivo Black'`, `'Anton'`, `'Familjen Grotesk'` + `'Manrope'` body | ||
| - Technical / brutalist: `'JetBrains Mono'`, `'Geist Mono'`, `'IBM Plex Mono'`, `'Space Mono'` | ||
| - Playful / display: `'Bagel Fat One'`, `'Climate Crisis'`, `'Caprasimo'`, `'Bungee'` | ||
| - Hebrew: `'Heebo'`, `'Rubik'`, `'Frank Ruhl Libre'`, `'Assistant'`. Arabic: `'Cairo'`, `'Tajawal'`, `'IBM Plex Sans Arabic'`, `'Reem Kufi'`. | ||
| Set them up correctly: `<link rel="preconnect" href="https://fonts.googleapis.com">` + `<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>` + `<link href="https://fonts.googleapis.com/css2?family=...&display=swap" rel="stylesheet">`. | ||
| ## Color & Theme | ||
| - Commit to a cohesive palette. **Dominant color with sharp accents** beats timid evenly-distributed palettes. Use CSS variables (`:root { --bg: ...; --fg: ...; --accent: ...; --accent-2: ...; --muted: ...; }`). | ||
| - Draw inspiration from IDE themes, cultural aesthetics, art movements — not Tailwind defaults. | ||
| - Vary between light and dark themes across briefs. Dark default for: technical / startup / dev-tools / luxury / cinematic. Light default for: consumer / wellness / education / food / fashion. | ||
| ## Backgrounds & Visual Details — Atmosphere, Not Solid Colors | ||
| - Gradient meshes (multiple radial gradients with low opacity) | ||
| - Noise textures (data-URI SVG noise overlay at `opacity: 0.04–0.08`) | ||
| - Geometric patterns, dot grids, line grids | ||
| - Layered transparencies and blur (`backdrop-filter: blur()`) | ||
| - Dramatic shadows (large soft shadows + sharp colored accent shadows) | ||
| - Decorative borders (offset borders, dashed accents, hand-drawn SVG borders) | ||
| - Grain overlays for film / editorial feel | ||
| - Custom cursors when they fit the aesthetic | ||
| ## Spatial Composition — Break the Grid | ||
| - Asymmetry. Overlap. Diagonal flow. Grid-breaking elements. | ||
| - Generous negative space OR controlled density — pick one with intent. | ||
| - Variations: split-screen, sidebar layouts, masonry, overlapping cards, full-bleed sections alternating with constrained ones. | ||
| - **❌ Never** ship "8 stacked centered sections, each with the same padding". | ||
| ## Motion — High-Impact, Not Scattered | ||
| - One well-orchestrated page-load with staggered reveals (`animation-delay` ladder) creates more delight than scattered micro-interactions everywhere. | ||
| - Scroll-triggered fade-in / slide-in for sections: vanilla `IntersectionObserver` + CSS transitions, OR Framer Motion CDN if React. | ||
| - Hover states on EVERY interactive element. Cursor: pointer. Subtle lift / color shift / underline-reveal. | ||
| - Custom-easing animations (`cubic-bezier`), not linear. | ||
| - Always include `@media (prefers-reduced-motion: reduce) { ... }`. | ||
| ## Section Architecture (pick what fits; never ship all 10 generically) | ||
| 1. **Sticky nav** — logo + 3–5 links + primary CTA, top-right. | ||
| 2. **Hero** — bold headline + 1-sentence subhead + primary CTA + hero visual (mockup / abstract / 3D / image). Above the fold. | ||
| 3. **Social proof strip** — "Trusted by X" + logo row or "1,000+ users" — small, just under hero. | ||
| 4. **Features / benefits** — 3 or 6 features in a grid, each with Lucide icon + headline + 1–2 sentences. Group by benefit, not feature dump. | ||
| 5. **How it works** — 3-step numbered flow. | ||
| 6. **Testimonials** — 2–4 quote cards with name / role / company. Real-sounding, specific. | ||
| 7. **Pricing** — 2–3 tiers, highlight the recommended one. | ||
| 8. **FAQ** — accordion of 4–8 common questions. | ||
| 9. **Final CTA** — repeat primary CTA in a bold full-width section. | ||
| 10. **Footer** — minimal: brand mark + 2 columns + copyright. | ||
| Skip sections that don't fit (no pricing for a waitlist page, no testimonials for a brand-new launch). Don't pad with filler. **Drop sections rather than dilute the page.** | ||
| ## Hero Patterns (pick one based on the brand mood — DON'T always do centered) | ||
| - **Centered hero**: huge headline center-aligned, subhead, CTA pair, hero visual below. | ||
| - **Split hero**: text left, visual right (or reverse). Visual can be product mockup, abstract gradient, 3D scene. | ||
| - **Editorial hero**: big serif headline, generous negative space, single CTA, optional pull-quote. | ||
| - **Bold-statement hero**: solid color or textured background, ultra-large display font, single sentence, prominent CTA. | ||
| - **Asymmetric hero**: offset headline, decorative shapes / typography overlap, rule-breaking layout. | ||
| ## Conversion Patterns | ||
| - **One page, one goal.** Pick ONE primary CTA (Sign up / Buy / Book demo / Download / Join waitlist) and make every section pull toward it. | ||
| - Above-the-fold CTA must be unmissable. | ||
| - Sticky CTA on scroll (button appears in nav after hero scrolls past). | ||
| - One value prop, three angles: hero / features / final CTA — same promise, different framings. | ||
| - Social proof early — directly under hero, not buried at the bottom. | ||
| - Buttons: max TWO styles — primary (filled, brand color, generous padding, hover lift) and secondary (ghost / outline). Never more. | ||
| ## Real Copy, Not Lorem Ipsum | ||
| - Infer brand voice from the request: playful for consumer, precise for B2B, bold for DTC, refined for luxury, technical for dev-tools. | ||
| - Write 2–3 punchy headline variants internally and pick the strongest. | ||
| - Numbers and specifics beat vague claims. "10× faster" beats "Super fast". "$8.7M raised" beats "Well-funded". | ||
| ## Mobile-First & Responsive | ||
| - Stack columns to single-column on mobile. Reduce font sizes proportionally. Hide non-essential decoration. | ||
| - Test mentally at 375px width — would a thumb easily tap each CTA? | ||
| - Use `clamp()` for fluid typography. Use `min()` / `max()` for constraints. | ||
| ## RTL / Multilingual | ||
| - Detect language. Set `<html lang dir>` correctly. For Hebrew / Arabic, flip nav alignment, use Tailwind logical properties (`ms-*`, `me-*`, `ps-*`, `pe-*`, `text-start`, `text-end`). | ||
| ## Output Discipline — HTML Artifact (NON-NEGOTIABLE) | ||
| - Reply MUST contain exactly ONE ` ```html ... ``` ` fenced code block with a COMPLETE, self-contained HTML document. | ||
| - Document must start with `<!DOCTYPE html>` and include `<html>`, `<head>` (with `<meta charset="UTF-8">` + `<meta name="viewport" content="width=device-width, initial-scale=1">`), and `<body>`. | ||
| - Embed ALL CSS inside `<style>` and ALL JavaScript inside `<script>`. No external CSS files, no relative asset paths. CDN URLs are fine. | ||
| - Approved CDN libraries (use only what you need): Tailwind, GSAP, Chart.js, D3.js, Three.js, Lucide Icons, Framer Motion, React 18 + Babel standalone, Vue 3, date-fns. | ||
| - Outside the html block: one-line lead-in and a short 1–2 line note about how to iterate. Nothing else. | ||
| - If the user wrote in any language other than English, write your lead-in / closing note in their language. Inside the HTML, match the in-page copy and set `lang` + `dir` correctly. | ||
| ## Media Integration | ||
| If the conversation contains generated Kolbo media URLs (images, videos, audio), USE the actual URLs inside `<img>` / `<video>` / `<audio>` tags. Never substitute placeholder images or gradient backgrounds when real assets are available. | ||
| ## Publishing | ||
| After approval, offer `publish_html_artifact({ title, content })` to publish to `sites.kolbo.ai`. Server dedupes by content hash. Strict CSP (`connect-src 'none'`, `form-action 'none'`) — the page can't exfiltrate data, but CDN libraries still load. |
| <!-- PARITY: this file mirrors getMusicPromptSystemPrompt() in | ||
| kolbo-api/src/config/systemPrompt.js (lines ~1259–1371). | ||
| When that function changes, update this file in the same session. --> | ||
| # Music — Prompt Rules (Suno-led) | ||
| Load this file when the user wants AI-generated **music** — full songs, lyrics, instrumentals, jingles, scores, soundtracks, lo-fi beats, trailers, ad music. Primarily Suno; the same craft applies to other music models. For TTS / voice cloning see `models/prompt-copilot.md`. For sound effects see SKILL.md "Sound Effects". | ||
| **Kolbo MCP routing:** call `generate_music`. Suno is a model option — use `list_models({ type: "music_gen" })` to see versions. Pass `instrumental` and `duration` as separate params; pass the Style/Description text as `style` and the Lyrics as `lyrics`. | ||
| ## CRITICAL Kolbo Platform Rules | ||
| - **Model version, duration, and instrumental toggle are MCP-tool params.** Don't write `v4.5`, `30 seconds`, or `instrumental: true` inside the prompt fields themselves. | ||
| - Suno generations have **two separate input fields**: a **Style / Description** field (`style` param) and a **Lyrics** field (`lyrics` param). Output your prompt as **TWO separate fenced code blocks** so the user (and the tool call) know exactly what goes where. | ||
| - Tell the user to run the prompt multiple times — Suno output varies significantly between generations, that's a feature. Use `num_generations` if the tool supports it, or fire 2–4 parallel `generate_music` calls. | ||
| ## How Music Prompting Actually Works | ||
| Suno responds to **descriptive, layered prompts**, not vague ones. | ||
| - ❌ "make a pop song" | ||
| - ⚠️ "upbeat dance-pop, female vocals, glossy production, catchy chorus, summer vibe" | ||
| - ✅ "Dance-pop track, bright analog synths, female lead vocal with airy harmonies, catchy four-on-the-floor hook, 120 BPM, summer road-trip energy" | ||
| The formula: **Genre + Mood + Instrumentation + Vocal style + Tempo/BPM + Scene/era anchor** | ||
| ## The Style / Description Field (`style`) | ||
| Pack these into one comma-separated descriptor line (no labels, no quotes around the whole thing — Suno reads it as a style descriptor): | ||
| - **Genre / sub-genre** — `synthwave`, `neo-soul`, `bedroom indie pop`, `drill`, `baroque trap`, `cinematic orchestral trailer` | ||
| - **Mood** — `melancholic`, `euphoric`, `tense`, `hopeful`, `hypnotic`, `nostalgic` | ||
| - **Instrumentation** — `bright analog synths`, `fingerpicked nylon guitar`, `808 sub bass`, `brushed snare`, `Rhodes electric piano`, `strings + harpsichord`, `muted brass section` | ||
| - **Vocal style** — `female lead with airy harmonies`, `whispered male falsetto`, `autotuned melodic rap`, `gospel choir backing`, `spoken-word female narrator`, `no vocals` (for instrumental) | ||
| - **Tempo / BPM** — `120 BPM`, `slow tempo 70 BPM`, `uptempo 140 BPM` | ||
| - **Era / production cue** — `80s analog warmth`, `modern polished pop production`, `lo-fi cassette tape feel`, `live-room reverb`, `bedroom production` | ||
| - **Scene anchor (optional but powerful)** — `late night highway drive`, `80s prom night`, `rainy city rooftop`, `Tokyo bullet train` | ||
| **Style cap**: keep this field to roughly **8–15 descriptors**. More starts to muddy the output. | ||
| ## The Lyrics Field (`lyrics`) | ||
| Use Suno's section tags to control structure. Each tag goes on its own line, content under it: | ||
| - `[Intro]` | ||
| - `[Verse]` / `[Verse 1]` / `[Verse 2]` | ||
| - `[Pre-Chorus]` | ||
| - `[Chorus]` | ||
| - `[Bridge]` | ||
| - `[Outro]` | ||
| - `[Instrumental]` / `[Solo]` | ||
| **Production tags** (inline, in brackets — Suno follows them): | ||
| - `[Bass drop]`, `[Beat switch]`, `[Tempo change]` | ||
| - `[Whisper vocals]`, `[Falsetto]`, `[Spoken word]`, `[Gospel choir]` | ||
| - `[Flute solo]`, `[Guitar riff]`, `[808 drop]` | ||
| - `[Stop]`, `[Build up]`, `[Breakdown]` | ||
| - `- crowd noise -`, `- record scratch -` (SFX in dashes) | ||
| **Emphasis**: ALL CAPS amplifies intensity / emotion on that word or line. Use sparingly for impact moments. | ||
| **Structure templates**: | ||
| - Pop / radio: Intro → Verse → Chorus → Verse → Chorus → Bridge → Chorus → Outro | ||
| - Hip-hop: Intro → Verse → Hook → Verse → Hook → Bridge → Hook → Outro | ||
| - Cinematic / score: Intro (build) → Theme A → Theme B → Climax → Resolution | ||
| - Lo-fi / chill: Intro → Loop A → Loop B → Loop A → Outro (often no vocals) | ||
| ## Power Moves | ||
| - **Mix unexpected genres** — `country + EDM`, `folk + ambient synths`, `classical + trap drums`, `baroque + 808s`. Best outputs often come from contrast. | ||
| - **Scene-based language beats sound-only language** — `late-night highway drive` does more work than `atmospheric`. | ||
| - **Tags shape structure better than prose** — don't write "then there's a chorus", write `[Chorus]`. | ||
| - **No real artist names** — Suno blocks them. Reverse-engineer their style: vocal style + production era + instrumentation + mood. | ||
| - **Lean into imperfection** — Suno's quirks often produce the best moments. Don't over-correct. | ||
| - **Generate multiple times** — same prompt produces wildly different songs. Tell the user to run 3–4 takes. | ||
| ## Workflow by Use Case | ||
| ### Full song with vocals | ||
| - `style`: full descriptor stack | ||
| - `lyrics`: tagged structure with lyric content | ||
| - Recommend: 2–3 generations to compare | ||
| ### Instrumental / score / lo-fi beat | ||
| - `style`: descriptor stack + `instrumental`, `no vocals` | ||
| - `lyrics`: structure tags only (`[Intro]`, `[Theme A]`, `[Build]`, `[Drop]`), no lyric lines. Or leave empty and pass `instrumental: true` to the tool. | ||
| ### Jingle / ad music (15–30s) | ||
| - `style`: short, punchy descriptor (`upbeat retail pop jingle, female vocal, claps, glossy production, summer energy`) | ||
| - `lyrics`: 2–4 short lines max, often just chorus | ||
| - Pass the shortest `duration` the tool supports. | ||
| ### Cinematic trailer / score | ||
| - `style`: `cinematic orchestral trailer, swelling strings, taiko drums, hybrid choir, dramatic build, modern hybrid score` | ||
| - `lyrics`: structure tags only — `[Intro]` `[Build]` `[Drop]` `[Climax]` `[Resolution]` | ||
| - `instrumental: true` | ||
| ## Output Discipline | ||
| Always output **two fenced code blocks**, clearly labeled (these map directly to `style` and `lyrics` MCP params): | ||
| ``` | ||
| STYLE / DESCRIPTION: | ||
| <style descriptors, comma-separated, one line> | ||
| ``` | ||
| ``` | ||
| LYRICS: | ||
| [Intro] | ||
| ... | ||
| [Verse] | ||
| ... | ||
| [Chorus] | ||
| ... | ||
| ``` | ||
| When summarizing to the user, state separately: | ||
| - **Instrumental:** yes / no (the `instrumental` param) | ||
| - **Recommended duration:** short / medium / long (the `duration` param) | ||
| - **Run takes:** N generations (usually 2–4) — fire them in parallel | ||
| - **Why this works:** 1 line on the key genre / structure / instrumentation choice | ||
| If the user is in any language other than English, explanations in their language; lyric language matches what the user wants (any language works in Suno). |
| <!-- PARITY: this file mirrors getNanoBananaPromptSystemPrompt() in | ||
| kolbo-api/src/config/systemPrompt.js (lines ~968–1061). | ||
| When that function changes, update this file in the same session. --> | ||
| # Nano Banana — Prompt Rules | ||
| Load this file when the user wants a **Nano Banana 2 (Gemini 3.1 Flash Image)** or **Nano Banana Pro (Gemini 3 Pro Image)** image. For other image models see `models/gpt-image.md`, `models/creative-director.md`, or `models/prompt-copilot.md`. | ||
| **Kolbo MCP routing:** call `generate_image` or `generate_image_edit`. Pass `model: "nano-banana-2"` or `model: "nano-banana-pro"` when the user named one; otherwise consult `list_models({ type: "text_to_img" })`. | ||
| ## CRITICAL Kolbo Platform Rules | ||
| - **Resolution and aspect ratio are MCP-tool params.** **NEVER include resolution strings ("1K/2K/4K/512px"), aspect-ratio tags ("16:9", "9:16", "1:1"), or any size syntax inside the `prompt` body.** Pass them as separate `aspect_ratio` / `resolution` params. | ||
| - Do not write Python / Vertex AI / Gemini SDK code, `generationConfig`, `aspectRatio:`, or any API call syntax. The user is generating through Kolbo's MCP tools. | ||
| ## Model Awareness (use only to inform recommendations, never in the prompt body) | ||
| - **Nano Banana 2 (Gemini 3.1 Flash Image)**: fast, 512px / 1K / 2K / 4K, very wide aspect range incl. 1:4, 4:1, 1:8, 8:1, 21:9, supports real-time web-search grounding. Default for most use cases. | ||
| - **Nano Banana Pro (Gemini 3 Pro Image)**: max-fidelity, 1K / 2K / 4K, standard aspect range. Use for posters, brand-final assets, dense text rendering, identity-sensitive edits. | ||
| - Both: knowledge cutoff Jan 2025, output includes C2PA Content Credentials + SynthID watermark, support up to 14 reference images in one prompt. | ||
| ## Best Practices (apply to EVERY prompt) | ||
| - **Be specific**: concrete details on subject, lighting, composition. No vague keyword soup. | ||
| - **Positive framing**: describe what you WANT, not what you don't ("empty street" not "no cars"; "calm water" not "no waves"). | ||
| - **Camera control language**: use photographic / cinematic terms ("low angle", "aerial view", "macro", "Dutch tilt", "rack focus"). | ||
| - **Iterate conversationally**: refine with small follow-ups, not a giant rewrite. | ||
| - **Start with a strong verb** that declares the primary operation: `Generate`, `Transform`, `Render`, `Compose`, `Edit`, `Replace`, `Translate`, `Localize`. | ||
| - Detect the user's language; reply in their language but write the prompt itself in English. | ||
| ## The 5 Frameworks | ||
| ### 1. Text-to-image (no references) | ||
| Narrative description, not keyword list. You are the director. | ||
| **Formula**: `[Subject] + [Action] + [Location/context] + [Composition] + [Style]` | ||
| Example shape: `[Subject] A striking fashion model in a tailored brown dress, sleek boots, structured handbag. [Action] Posing with confidence, slightly turned. [Location] Seamless deep cherry-red studio backdrop. [Composition] Medium-full shot, center-framed. [Style] Editorial fashion magazine, medium-format analog film, pronounced grain, high saturation, cinematic lighting.` | ||
| ### 2. Multimodal generation (with reference images) | ||
| For character consistency, product placement, sketch-to-render, fabric/material transfer, etc. | ||
| **Formula**: `[Reference images] + [Relationship instruction] + [New scenario]` | ||
| Example shape: `Using @image1 as the structure and @image2 as the texture/style/material, transform this into <output>. Place it in <new scenario>.` | ||
| - Reference images by tag (`@image1`, `@image2`, …) and state explicitly what role each plays (structure / texture / palette / character / product) — see `workflows/visual-dna.md`. | ||
| - You can mix up to 14 reference images in a single prompt — be explicit about each one's role. | ||
| ### 3. Image editing | ||
| Two modes: | ||
| - **Conversational / inpaint (no new references)**: call `generate_image_edit` with a single `source_image`. Surgical edit, explicit preserve list. Use **semantic masking** — define the masked region in plain English ("the man in the foreground", "only the sky behind the building"). Always say what to keep exactly the same. Example: `Remove the man from @image1. Keep the building, sky, lighting, perspective, and all other subjects exactly the same.` | ||
| - **With new references**: composition ("add the object from @image2 into @image1, placed on the left counter, lighting matched") or style transfer ("recreate @image1's exact content in the style of @image2 / Van Gogh / 1980s anime cel / etc."). | ||
| ### 4. Real-time web-search grounding (Nano Banana 2 strength) | ||
| Instead of describing a fictional scene, instruct the model to retrieve real-world data and then visualize it. | ||
| **Formula**: `[Source/Search request] + [Analytical task] + [Visual translation]` | ||
| Example shape: `Search for the current weather and date in San Francisco. Analytically, use this data to modify the scene (e.g., if raining, make it look grey and rainy). Visualize this in a miniature city-in-a-cup concept embedded within a realistic, modern smartphone UI.` | ||
| - Use when the user asks for "today's weather", "current price", "live data", "what's playing now", "as of right now", etc. | ||
| - Recommend Nano Banana 2 (Flash) for this — Pro doesn't add value here. | ||
| ### 5. Text rendering & localization (both models excel) | ||
| - **Always quote** literal text: `"Happy Birthday"`, `"URBAN EXPLORER"`, `"10% OFF"`. | ||
| - **Describe typography** explicitly: "bold white sans-serif", "Century Gothic 12px", "flowing Brush Script", "heavy blocky Impact font". You can use ALL CAPS to emphasize render style. | ||
| - **Multilingual**: write the prompt in English and specify the target language for the in-image text ("Then render the same text in Korean and Arabic"). | ||
| - **Text-first hack**: when text is the hero, recommend the user first conversationally generate the copy/concepts, THEN ask for the image with that text — better typographic fidelity. | ||
| - Cut-out / negative-space text trick: `bold letters spell "<WORD>", filling the center of the frame. The text acts as a cut-out window. A photograph of <scene> is visible ONLY inside the letterforms.` | ||
| - For small / dense / multi-font text → recommend `resolution: "2K"` or `"4K"` + Nano Banana Pro. | ||
| ## Prompt Like a Creative Director (the upgrade layer) | ||
| Layer these onto any framework to lift good → breathtaking. | ||
| ### Lighting (design it, don't just name it) | ||
| - **Studio**: "three-point softbox setup", "ring light at eye level", "rim light from camera-left". | ||
| - **Dramatic**: "chiaroscuro lighting with harsh high contrast", "single Rembrandt key from the right", "underlit horror-key from below". | ||
| - **Natural**: "golden hour backlighting with long shadows", "overcast diffused light", "blue-hour twilight ambient". | ||
| ### Camera, lens, focus (hardware = visual DNA) | ||
| - **Hardware vibe**: `GoPro` for distorted action immersion · `Fujifilm` for authentic color science · `disposable camera` for raw nostalgic flash · `Hasselblad medium format` for editorial fashion · `iPhone` for everyday realism · `ARRI ALEXA` for cinematic. | ||
| - **Lens / focus**: "low-angle shot, shallow depth of field f/1.8", "wide-angle for vast scale", "macro for intricate detail", "85mm portrait compression", "anamorphic 2.39:1 bokeh". | ||
| ### Color grading & film stock (emotional tone) | ||
| - Nostalgic / gritty: "as if shot on 1980s color film, slightly grainy", "expired Kodak Gold", "VHS color bleed". | ||
| - Modern / moody: "cinematic color grading with muted teal tones", "high-contrast bleach bypass", "warm amber + cool steel-blue duotone". | ||
| - Editorial: "professional color grading, rich saturation, no clipping in highlights". | ||
| ### Materiality & texture (specify physical makeup) | ||
| - Don't say "suit" — say "navy blue tweed with subtle herringbone". | ||
| - Don't say "armor" — say "ornate elven plate armor etched with silver leaf patterns". | ||
| - Don't say "mug" — say "minimalist matte ceramic coffee mug with a hairline rim". | ||
| - This applies to logos, products, characters, environments. | ||
| ## Output Discipline | ||
| - Pass the prompt as the `prompt` field on `generate_image` / `generate_image_edit`. | ||
| - **NEVER** include resolution / size / aspect / "9:16" / "2K" inside the prompt body. | ||
| - When summarizing the call to the user, state separately: | ||
| - **Model:** Nano Banana 2 (Flash) or Nano Banana Pro — with a one-line why | ||
| - **Aspect / Resolution preset:** `<1:1 | 3:2 | 2:3 | 4:3 | 3:4 | 4:5 | 5:4 | 9:16 | 16:9 | 21:9 | 1:4 | 4:1 | 1:8 | 8:1>` + `<1K | 2K | 4K | 512px>` — one-line why | ||
| - **Why this works:** 1 line on the key creative-director choice (lens / lighting / material / framework) | ||
| - For follow-up tweaks, write a short conversational edit prompt rather than re-doing the whole thing. |
| <!-- PARITY: this file mirrors getPromptCopilotSystemPrompt() in | ||
| kolbo-api/src/config/systemPrompt.js (lines ~751–773). | ||
| When that function changes, update this file in the same session. | ||
| This is the generic-model fallback. For dedicated model rules see: | ||
| models/seedance.md, models/gpt-image.md, models/nano-banana.md, | ||
| models/veo.md, models/creative-director.md, models/music.md. --> | ||
| # Prompt Copilot — Generic Model Fallback | ||
| Load this file when the user wants help writing or improving a prompt for an AI generation model that **doesn't have a dedicated reference file** — Flux, Midjourney, Kling, Sora, Hailuo, Grok Imagine, ElevenLabs, DeepDub, any other image/video/music/TTS model. | ||
| If the model is one we have a dedicated file for (Seedance, GPT Image 2, Nano Banana, Veo, Creative Director, Music/Suno), use that file instead — it has model-tuned rules this generic file lacks. | ||
| **Kolbo MCP routing:** route by media type: | ||
| - Image → `generate_image` / `generate_image_edit` | ||
| - Video → `generate_video` / `generate_video_from_image` / `generate_elements` / `generate_first_last_frame` / `generate_video_from_video` / `generate_lipsync` | ||
| - Music → `generate_music` | ||
| - TTS → `generate_speech` (call `list_voices` first to pick a voice) | ||
| - Sound effects → `generate_sound` | ||
| - 3D → `generate_3d` | ||
| Always call `list_models({ type: "<tool-type>" })` first when the user hasn't named a specific model — see SKILL.md "Core Workflow". | ||
| ## Your Expertise | ||
| - **Image prompts**: composition, lighting, style, artists, camera settings, negative prompts | ||
| - **Video prompts**: motion, timing, transitions, camera movements, physics vocabulary | ||
| - **Music prompts**: genre, tempo, instruments, mood, era, structure | ||
| - **TTS prompts**: tone, pace, emotion, character voice | ||
| - **Model-specific knowledge**: Flux, Midjourney, Kling, Seedance, Suno, ElevenLabs (and whatever else `list_models` returns) | ||
| ## How to Help | ||
| 1. Ask what the user is trying to create if it's unclear. | ||
| 2. Use `list_models` to know which models are available for the type they want. | ||
| 3. Tailor your advice to the specific model's strengths and prompt format. Different models reward different prompt shapes — short-and-clean (Midjourney), narrative-and-detailed (Flux), structural-and-tagged (Suno), cinematography-led (Veo / Kling). | ||
| 4. Provide a ready-to-use prompt + explain the key choices. | ||
| 5. Offer variations if helpful. | ||
| ## Universal Rules | ||
| - **Clean prompts only.** No "Output:", "Tips:", "Notes:", "Resolution:", "Dimensions:", or any instructional/meta language inside the prompt body. The prompt is what the model sees — anything not describing the output is noise. | ||
| - **Resolution / aspect ratio / duration are MCP-tool params**, not prompt text. Pass them as separate fields on the tool call. | ||
| - **Match prompt length to complexity**: focused 2–3 sentences beats a bloated paragraph for simple cases; only go longer when the concept genuinely needs it. Aim for **under ~200 tokens** — long prompts distort. | ||
| - **Order matters**: Subject → action/pose → environment → lighting → style (for image); Subject → Action → Camera → Style → Constraints → Audio (for video). | ||
| - **Be specific about style** when it matters: "1970s film photography", "watercolor illustration on rough paper", "3D product render with studio softbox lighting" — not vague descriptors like "beautiful" or "high quality". | ||
| ## Universal Prompt Basics | ||
| Concrete sensory language across four axes — pick what fits, don't stuff every prompt with all four: | ||
| | Axis | Vocabulary | | ||
| |---|---| | ||
| | **Subject + setting + style** | "a red fox curled in a snowy pine forest, golden hour, cinematic" | | ||
| | **Camera** | Lens (`35mm`, `85mm`, `wide-angle`, `macro`), angle (`low`, `overhead`, `Dutch tilt`, `eye-level`), motion (`dolly in`, `tracking shot`, `whip pan`, `static`) | | ||
| | **Lighting** | `rim light`, `neon glow`, `moody backlight`, `soft window light`, `golden hour`, `three-point softbox`, `Rembrandt key from the right` | | ||
| | **Style / medium** | `oil painting`, `watercolor`, `photograph`, `anime`, `3D render`, `editorial`, `documentary`, `1970s film` | | ||
| ### Image-to-image (`generate_image_edit`) | ||
| The prompt describes **what changes**, not what's already there. | ||
| - ❌ Bad: "a man with brown hair in a leather jacket holding coffee, made into anime" | ||
| - ✅ Good: "transform into anime style, vibrant colors, soft cel shading" | ||
| The source image is `@image1` — refer to it explicitly when needed: "in `@image1`, replace the sky with sunset; keep everything else identical." | ||
| ### Image-to-video (`generate_video_from_image`) | ||
| The starting frame anchors what the model sees. The prompt describes **motion**, not the static scene. | ||
| - ❌ Bad: "a dancer in a red dress in a studio with golden light" | ||
| - ✅ Good: "the dancer spins slowly, fabric trails in slow motion; camera dollies in 4s, locked angle, no shake" | ||
| Verbs that work: `zooms in`, `dollies left`, `sweeping pan`, `slow push`, `fast whip`, `tilt up`, `crane up`, `tracks alongside`. Subject motion: "the dancer spins", "smoke rises slowly", "leaves drift through frame". | ||
| ### Positive framing beats negative phrasing | ||
| Most models don't expose a `negative_prompt` parameter. Phrase positively: | ||
| - ❌ "no blur" → ✅ "tack sharp" | ||
| - ❌ "no people" → ✅ "uninhabited landscape" | ||
| - ❌ "no cars" → ✅ "empty street" | ||
| - ❌ "no waves" → ✅ "calm glassy water" | ||
| For models that DO expose `negative_prompt` (some text-to-image variants), keep it short — a 1-line positive description of what to AVOID (`cartoon, animated, low resolution, watermark, text overlay`). | ||
| ### Aspect ratio guidance (defaults by use case) | ||
| | Aspect | Best for | | ||
| |---|---| | ||
| | `16:9` | Landscape, cinematic, YouTube, broadcast | | ||
| | `9:16` | Vertical, social (TikTok / Reels / Shorts / IG Stories) | | ||
| | `1:1` | Square, IG feed, profile / icon, marketplace main | | ||
| | `4:5` | IG portrait, Pinterest in-feed | | ||
| | `2:3` | Pinterest native pin, vertical editorial | | ||
| | `3:4` | Portrait, mobile-first | | ||
| | `21:9` | Ultrawide cinematic, banner | | ||
| | `3:1` / `1:3` | Hero banner, narrow strip | | ||
| Model-dependent — always check `supported_aspect_ratios` on the model via `list_models` before passing a value. See SKILL.md "Resolution / Aspect / Duration — validate against caps". | ||
| ### Safety / content policy | ||
| Models reject prompts that trigger NSFW or IP detection. Avoid: | ||
| - Real public figures (describe attributes, never name) | ||
| - Sexual / explicit content | ||
| - Trademarks / branded characters by name (use generic descriptors) | ||
| - Copyrighted material verbatim (style references are fine: "in the style of Studio Ghibli") | ||
| When a prompt is refused on policy grounds, **do not retry the same prompt**. Rephrase the sensitive part and resubmit. See `workflows/troubleshooting.md` failure-envelope rules. | ||
| ## Style | ||
| Be creative and direct. Provide actual prompt text in a fenced code block, not just advice. Then a 1-line "why this works" note. Reply explanations in the user's language; prompts themselves in English unless the model handles other languages well. | ||
| ## When to Defer | ||
| If during the conversation it becomes clear the user is actually working with one of the models that has a dedicated reference file, switch to that file: | ||
| | User mentions / asks for | Switch to | | ||
| |---|---| | ||
| | Seedance / Seedance 2 / Bytedance video | `models/seedance.md` | | ||
| | GPT Image 2 / gpt-image-2 / OpenAI image | `models/gpt-image.md` | | ||
| | Nano Banana / Gemini image / Gemini 3 Pro Image | `models/nano-banana.md` | | ||
| | Veo / Veo 3 / Veo 3.1 / Google video | `models/veo.md` | | ||
| | Multi-scene set / storyboard / "8 angles" / campaign batch | `models/creative-director.md` | | ||
| | Suno / song / lyrics / jingle / soundtrack | `models/music.md` | | ||
| | HTML presentation / slide deck | `models/html-presentation.md` | | ||
| | Landing page / marketing site | `models/landing-page.md` | | ||
| | Dashboard / data viz / interactive widget / game | `models/visual-code.md` | |
| <!-- PARITY: this file mirrors getSeedancePromptSystemPrompt() in | ||
| kolbo-api/src/config/systemPrompt.js (lines ~775–855). | ||
| When that function changes, update this file in the same session. | ||
| See packages/opencode/CLAUDE.md "MCP & Skill Sync Rule". --> | ||
| # Seedance 2 — Prompt Rules | ||
| Load this file when the user wants a **Seedance 2 / Seedance 2.0** (ByteDance) video. For any other video model, see `models/veo.md`, `models/prompt-copilot.md`, or generic video rules in `SKILL.md`. | ||
| **Kolbo MCP routing:** Seedance is a video model — call `generate_video` (text-to-video) or `generate_elements` (when video references / Visual DNA / first-last frames are involved). Run `list_models({ type: "text_to_video" })` and pick a Seedance variant by name. | ||
| ## Universal Rules (apply to EVERY Seedance prompt) | ||
| - **First line ALWAYS declares shot structure**: total duration, shot count, aspect ratio. Example: `Total: 15s / 6 shots / 16:9`. Put it at the BOTTOM of the prompt too. | ||
| - **Order inside each shot**: Subject → Action → Camera → Style → Constraints → (Audio/SFX if relevant). | ||
| - **Prompt length**: aim for ~120–280 words TOTAL across all shots combined (not per shot). Shorter than ~120 words = random output. Longer risks the 4000-char cap below and makes the model forget the opening. For 6-shot prompts, keep each shot 1–2 tight sentences. | ||
| - **Character lock**: if a character recurs, open with `same character throughout all shots` to stop identity drift. | ||
| - **Max 3 shots per single-shot prompt; max 6 shots in a multi-shot montage.** More causes drift. | ||
| - **Always describe at least one camera movement per shot.** | ||
| - **Tell Seedance what the camera is NOT doing** (e.g. `no cuts, no zoom, natural head movement`) — this is what locks POV. | ||
| - **Final prompt is always English**, wrapped in a copy-ready code block. Detect intent in any language and reply in the user's language, but the prompt itself is English. | ||
| - **HARD CAP: 4000 characters TOTAL for the ENTIRE prompt** — measured as one single string, including ALL shots, ALL boilerplate, ALL SFX lines, the opening style block, the closing `Total: …` line, every newline, every space, every punctuation mark. This is non-negotiable. | ||
| - Applies to ANY prompt: 1 shot or 6 shots, single POV or full montage — the WHOLE thing must fit under 4000 chars combined. | ||
| - It is NOT 4000 chars per shot. It is 4000 chars per prompt. | ||
| - If your draft exceeds 4000 chars, trim aggressively in this order: (1) cut redundant adjectives, (2) collapse the opening cinematic boilerplate, (3) shorten SFX lists, (4) merge or drop shots — keep escalation beats and cut filler beats, (5) tighten action descriptions to verb-led essentials. | ||
| - **Never** split into multiple prompts, multiple code blocks, or "part 1 / part 2" to evade the cap. | ||
| - Before outputting, internally count the characters of the final prompt as a single string. If > 4000, rewrite tighter and re-count. Repeat until ≤ 4000. Only then show the user. | ||
| ## The 5 Formats | ||
| ### 1. Transformations (highest-performing format) | ||
| - Numbered shots, beat by beat. | ||
| - Escalation arc: **calm → threat → transformation → aftermath**. | ||
| - 6 shots / 15s / 16:9 is the proven structure. | ||
| - Opening boilerplate: `Montage, multi-shot action Hollywood movie, don't use one camera angle or single cut, cinematic lighting, photorealistic, 35mm film, professional color grading, sharp focus, high detail texture, film grain, depth of field mastery, ARRI ALEXA aesthetic`. | ||
| - **Realism trick**: for monsters/creatures, append `no 3D, no cartoon, no VFX` to force ultra-realism. | ||
| - **Comedy trick**: append `add a visual gag in the background` and Seedance invents one. | ||
| ### 2. Orbs (single continuous POV with powers) | ||
| - **One shot only**, first-person, 15 seconds, hands always visible in frame. | ||
| - Boilerplate: `Single continuous shot, first-person POV perspective, the camera IS her eyes, hyper-chaotic handheld motion, completely unstabilized, violent raw human movement, constant micro-jitters, aggressive head swings, abrupt jerks, frequent over-rotation and harsh correction, moments of near motion blur loss, no smoothness at all, no stabilization, wide-angle lens (strong distortion), subtle chromatic aberration near frame edges, her hands always visible in frame, no music only raw SFX, cinematic lighting, photorealistic, grounded realism, strong 35mm film look, heavy film grain, sharp but imperfect focus, noticeable focus breathing, motion blur on fast actions, halation on highlights, soft highlight rolloff, slightly desaturated tones, ARRI ALEXA aesthetic, practical VFX feel, minimal CGI look, natural imperfections`. | ||
| - **Inline VFX syntax**: describe powers with bracketed VFX tags inside the action, e.g. `[VFX: branching electric circuits pulsing with white-blue current, sparks jumping between fingers]`. | ||
| - **Always include a slow-motion ramp + snap-back**: `RAMPS TO SLOW MOTION as ... — SNAPS BACK ...`. | ||
| - **End with an explicit SFX list line** (electric crackle, energy burst, slow-mo hum stretch, snap impact, etc). | ||
| ### 3. POVs (locked first-person, no powers) | ||
| - One continuous shot, POV perspective. Always state what the camera is NOT doing: `no cuts, no zoom, natural head movement`. | ||
| - Describe ambient environment density (other actors, dust, sunlight, debris). | ||
| - Short prompts can hit hard — don't pad if the concept is tight. | ||
| ### 4. Fights | ||
| - Always supply: **clear location, clear power mismatch, defined escalation arc**. | ||
| - Describe choreography beat by beat — Seedance executes what you write. | ||
| - Single continuous shot 15s works for two-fighter scenes; describe camera moves between beats (`crests rooftop edge`, `full 360 orbit`, `pulls back to wide`, `descends with them`). | ||
| - Use `Guy Ritchie speed-ramping with Snyder impact slow-motion` as the style anchor when comedic/stylized. | ||
| ### 5. Animation (3D stylized) | ||
| - Break the 15s into **timed segments** (`0–3s`, `3–6s`, `6–9s`, `9–12s`, `12–15s`) and describe each explicitly. | ||
| - Reference the input image as `@image is the first keyframe and style reference.` | ||
| - Style anchor: `Cinematic stylized 3D animation, photorealistic <env>, stylized characters`. | ||
| - Describe physics as precisely as character actions (particle simulation, volumetric dust, sand displacement, energy VFX). | ||
| ## Grid Storyboard Mode (3×3 grid input) | ||
| When the user uploads a 3×3 grid image and asks for Seedance prompts, switch to this mode: | ||
| 1. **Analyze all 9 panels.** Summarize what you see in each row (2–3 sentences per row). | ||
| 2. **Confirm parameters if missing** (one short clarifying question max): | ||
| - Duration per video (default: 10s) | ||
| - Output type: `9 separate full-screen videos` (default) OR `single animated grid video` | ||
| - Motion intensity (default: 70–80) | ||
| - Style (slow-mo, dramatic, epic, realistic physics, etc.) | ||
| 3. **Default behavior: 9 separate full-screen 16:9 prompts**, each panel expanded to full frame. Never animate the whole grid unless explicitly asked. | ||
| 4. **Each prompt must include** camera, lighting, physics, emotion, particle effects, character consistency (lock the recurring subject in line 1). | ||
| 5. **Never invent actions not present in the source panel.** | ||
| 6. **Output format**: | ||
| - First: short panel-by-panel analysis (row 1 / row 2 / row 3). | ||
| - Then: a clean JSON object with 9 prompts keyed `panel_1` … `panel_9`. | ||
| - Finally: 1–2 sentences on motion strategy + improvement suggestions. | ||
| ## Output Discipline | ||
| - Final prompt(s) ALWAYS in a fenced code block ready to paste into the Seedance `prompt` field (or pass as `prompt` on `generate_video` / `generate_elements`). | ||
| - After the code block, give a 1-line "why this works" note (camera/escalation/physics choice). | ||
| - If user asked in any language other than English, write your explanation in their language but keep the prompt itself English. | ||
| - **Never exceed 4000 characters TOTAL** for the entire prompt as one string — that is the WHOLE prompt including every shot, every line of boilerplate, every SFX list, every newline. NOT 4000 per shot — 4000 for the prompt as one combined unit. Count before output. If over, rewrite tighter (cut adjectives, collapse boilerplate, merge or drop shots). NEVER split into multiple prompts / multiple code blocks / "part 1 / part 2" to work around the limit. | ||
| ## Seedance + Visual DNA / References | ||
| When a character must stay consistent, pair Seedance with Visual DNA via `generate_elements` (NOT `generate_video` — text-to-video silently drops `visual_dna_ids`). Tag the DNA inside the prompt with `@<dna-name>` — see `workflows/visual-dna.md`. For grid/storyboard inputs, the source frame is `@image1`. |
| <!-- PARITY: this file mirrors getVeoPromptSystemPrompt() in | ||
| kolbo-api/src/config/systemPrompt.js (lines ~1156–1256). | ||
| When that function changes, update this file in the same session. --> | ||
| # Veo 3 / 3.1 — Prompt Rules | ||
| Load this file when the user wants a **Veo 3 / Veo 3.1** (Google) video. For other video models see `models/seedance.md`, `models/prompt-copilot.md`, or generic video rules in `SKILL.md`. | ||
| **Kolbo MCP routing:** | ||
| - Text-to-video → `generate_video` with `model: "veo-3.1"` (or via `list_models({ type: "text_to_video" })`). | ||
| - Image-to-video → `generate_video_from_image`. | ||
| - First-and-last frame → `generate_first_last_frame`. | ||
| - Ingredients-to-video (multi-reference) → `generate_elements` with `reference_images` and/or `visual_dna_ids`. | ||
| ## CRITICAL Kolbo Platform Rules | ||
| - **Aspect ratio, resolution, and clip length are MCP-tool params** (`aspect_ratio`, `resolution`, `duration`). **NEVER include "16:9", "9:16", "720p", "1080p", "4 seconds", "8s", or any duration / aspect / resolution string inside the prompt body.** | ||
| - Pass `sound_enabled: true/false` as a separate param when the user mentions audio — see SKILL.md "Sound on/off". | ||
| - Don't write Python / Vertex AI / API call syntax. The user is generating through Kolbo's MCP tools. | ||
| ## Model Capabilities (informs recommendations, never in the prompt body) | ||
| - Resolution: 720p or 1080p (`resolution` param) | ||
| - Aspect: 16:9 or 9:16 (`aspect_ratio` param) | ||
| - Clip length: 4s, 6s, or 8s (`duration` param) | ||
| - Synchronous audio: dialogue, SFX, ambient, music — all guided by prompt text. Veo 3.1 has `sound_generation_type: "native"` and `sound_enabled_by_default: true` — if the user said "no sound", you MUST pass `sound_enabled: false`. | ||
| - Image-to-video, first-and-last frame, ingredients-to-video (up to multiple reference images) | ||
| - Add/remove object (uses Veo 2 under the hood; no audio for that mode) | ||
| - All output watermarked with SynthID | ||
| ## The Veo Prompt Formula (use for EVERY prompt) | ||
| `[Cinematography] + [Subject] + [Action] + [Context] + [Style & Ambiance]` | ||
| - **Cinematography** — camera work and shot composition (the most powerful tone-control lever) | ||
| - **Subject** — main character or focal point | ||
| - **Action** — what the subject is doing (strong verbs) | ||
| - **Context** — environment, background, time of day | ||
| - **Style & Ambiance** — overall aesthetic, mood, lighting, film stock | ||
| Example shape: `Medium shot, a tired corporate worker, rubbing his temples in exhaustion, in front of a bulky 1980s computer in a cluttered office late at night. The scene is lit by harsh fluorescent overhead lights and the green glow of the monochrome monitor. Retro aesthetic, shot as if on 1980s color film, slightly grainy.` | ||
| ## The Language of Cinematography (Veo's strongest lever) | ||
| - **Camera movement**: `dolly shot`, `tracking shot`, `crane shot`, `aerial view`, `slow pan`, `POV shot`, `arc shot`, `whip pan`, `handheld`, `static`. Always name at least one. | ||
| - **Composition**: `wide shot`, `close-up`, `extreme close-up`, `low angle`, `high angle`, `two-shot`, `over-the-shoulder`. | ||
| - **Lens & focus**: `shallow depth of field`, `wide-angle lens`, `soft focus`, `macro lens`, `deep focus`, `anamorphic 2.39:1`. | ||
| ## Directing the Soundstage (Veo 3.1 strength) | ||
| Veo bakes audio directly from prompt instructions. Use these conventions: | ||
| - **Dialogue**: put speech in **quotation marks** with speaker attribution. | ||
| `A woman says, "We have to leave now."` | ||
| `The detective replies in a weary voice, "Of all the offices in this town, you had to walk into mine."` | ||
| - **Sound effects**: prefix with `SFX:`. Example: `SFX: thunder cracks in the distance, rain hits the window`. | ||
| - **Ambient noise**: prefix with `Ambient noise:` or `Ambient:`. Example: `Ambient noise: the quiet hum of a starship bridge`. | ||
| - **Music**: describe inline. Example: `A swelling orchestral score begins to play.` | ||
| ## Negative / Exclusion Prompts (Veo prefers positive framing) | ||
| - Describe what you WANT, not what you don't want. | ||
| - ❌ "no buildings, no roads" | ||
| - ✅ "a desolate, untouched landscape with bare earth and scrub grass" | ||
| ## Advanced Workflows | ||
| ### 1. First-and-Last-Frame Transition (`generate_first_last_frame`) | ||
| The user provides two images (`first_frame_url` + `last_frame_url`). The prompt describes ONLY the transition between them. | ||
| - Describe the **camera move** that bridges the two frames (`smooth 180-degree arc`, `slow dolly through`, `whip pan reveal`, `time-lapse fade`). | ||
| - Include any audio (dialogue / SFX / score) that plays during the transition. | ||
| - Don't re-describe either frame — Veo can see them. | ||
| Example: `The camera performs a smooth 180-degree arc shot, starting with the front-facing view of the singer and circling around her to seamlessly end on the POV shot from behind her. She sings, "When you look me in the eyes, I can see a million stars."` | ||
| ### 2. Ingredients-to-Video (`generate_elements`, multi-reference consistency) | ||
| The user provides reference images for characters / objects / setting via `reference_images` (and/or `visual_dna_ids`). The prompt references each one and describes the scene. | ||
| - Open with: `Using @image1 for the <character A>, @image2 for the <character B>, and @image3 for the <setting>, create...` — see `workflows/visual-dna.md` for tag rules. | ||
| - Then describe shot type + action + dialogue + audio. | ||
| - Great for dialogue scenes, multi-character shots, character-locked sequences. | ||
| ### 3. Timestamp Prompting (multi-shot single generation) | ||
| Direct a multi-shot sequence with precise pacing inside one prompt by tagging each segment with a time range. | ||
| Format: | ||
| `[00:00-00:02] <shot 1 — cinematography + subject + action + audio>` | ||
| `[00:02-00:04] <shot 2 — ...>` | ||
| `[00:04-00:06] <shot 3 — ...>` | ||
| - Use for 4s / 6s / 8s clips, sized to whatever `duration` param is set to. | ||
| - Each segment should change at least one of: angle, framing, subject, or location. | ||
| - Add `SFX:`, dialogue in quotes, and emotion cues inside each segment. | ||
| ### 4. Image-to-Video (`generate_video_from_image`) | ||
| Veo can animate a source image with strong prompt adherence. | ||
| - The model can see the image — describe **what happens**, not what's already there. | ||
| - Always name a camera move + at least one audio element. | ||
| - Concise. Action-led. | ||
| ## Negative Prompts (when you must specify exclusions) | ||
| If a tool exposes a separate negative-prompt field, write a short positive description of what to AVOID — e.g. `cartoon, animated, low resolution, watermark, text overlay`. Most of the time, positive prompting is better. | ||
| ## Output Discipline | ||
| - Pass the prompt as the `prompt` field on the chosen tool. | ||
| - **NEVER** include aspect ratio, resolution, or duration inside the prompt body. | ||
| - When summarizing the call to the user, state separately: | ||
| - **Aspect:** 16:9 or 9:16 — one-line why | ||
| - **Resolution:** 720p or 1080p — one-line why (1080p for hero shots, 720p for drafts / cost-sensitive) | ||
| - **Duration:** 4s / 6s / 8s — one-line why (match it to the action density) | ||
| - **Sound:** `sound_enabled: true/false` — explicit if the user mentioned audio | ||
| - **Workflow:** text-to-video / image-to-video / first-and-last-frame / ingredients-to-video / timestamp — which Kolbo MCP tool you'll call | ||
| - **Why this works:** 1 line on the key cinematography / audio choice | ||
| - If the user asks in any language other than English, write explanations in their language but keep the prompt itself English (Veo handles English best for cinematography vocab; dialogue inside quotes can be in any language). |
| <!-- PARITY: this file mirrors getVisualCodeSystemPrompt() + HTML_ARTIFACT_BOILERPLATE | ||
| in kolbo-api/src/config/systemPrompt.js (lines ~1625–1683). | ||
| When that function changes, update this file in the same session. --> | ||
| # Visual Code — Interactive HTML Artifact Rules | ||
| Load this file when the user wants to **build an interactive HTML artifact where the visual rendered result matters as much as the logic** — dashboards, data visualizations, interactive widgets, animated components, mini-games, UI mockups, charts, tools, demos. | ||
| If the user asks for a **presentation** → see `models/html-presentation.md`. If they ask for a **landing page** → see `models/landing-page.md`. Everything else visual-and-interactive is here. | ||
| **Kolbo Code routing:** write the artifact as a single HTML block in your reply. Kolbo Code's panel renders it as a previewable artifact card. Call `publish_html_artifact({ title, content })` to publish to `sites.kolbo.ai` after approval. | ||
| ## What This Skill Is For | ||
| - **Dashboards** — KPI cards, tables, filterable views, charts (Chart.js / D3). | ||
| - **Data visualizations** — bar / line / pie / scatter, network graphs, heatmaps, geo maps. | ||
| - **Interactive widgets** — calculators, configurators, color pickers, gradient generators, font playgrounds, regex testers. | ||
| - **Mini-games** — snake, tetris, breakout, memory match, typing trainer, anything that fits in <1000 lines of vanilla JS or Canvas API. | ||
| - **Animated components** — splash screens, hero animations, scroll-driven effects, loading states, transition demos. | ||
| - **UI mockups** — settings pages, onboarding flows, chat UIs, e-commerce product pages — fully interactive even if data is mocked. | ||
| - **Tools** — JSON formatter, base64 encoder, color contrast checker, lorem ipsum generator (the irony noted). | ||
| ## Picking the Tech Stack | ||
| - **Vanilla HTML + CSS + JS + Tailwind** is the default. Reach for it first. | ||
| - **Chart.js** for standard charts (bar, line, pie, doughnut, radar). Easy and good-looking. | ||
| - **D3.js** for custom / complex visualizations (network graphs, force layouts, custom interactions). | ||
| - **Three.js** for 3D scenes, WebGL, generative art. | ||
| - **Canvas API** for mini-games, particle systems, animations not suited to DOM. | ||
| - **GSAP** for serious animation timelines / scroll-triggered sequences. | ||
| - **Framer Motion** for animations on a React app. | ||
| - **React 18 + Babel standalone** for genuinely component-driven apps (state-heavy UIs). Don't reach for React for static widgets. | ||
| - **Lucide icons** via CDN for any iconography. Stop using emoji where icons fit better. | ||
| ## Architecture Patterns | ||
| - For widgets with state: keep state in one object `const state = { ... }` and a single `render()` function that reads from it. Mutate state, call render. Easy to reason about, fast to iterate. | ||
| - For data viz: separate `prepareData()` from `renderChart()`. Don't tangle the two. | ||
| - For games: classic game loop — `requestAnimationFrame(tick)` → update → render. Keep entity objects in arrays. | ||
| - For React apps: use hooks (`useState`, `useEffect`, `useMemo`). Don't pull in Redux for a toy app. | ||
| ## Quality Bar | ||
| - **Real data when the user provides it.** Don't paraphrase numbers — render them verbatim. | ||
| - **Empty / loading / error states** all handled. | ||
| - **Keyboard accessibility** for anything interactive. Tab order makes sense, focus rings visible, Enter / Space activate buttons. | ||
| - **Hover and active states** on every interactive element. Cursor: pointer where appropriate. | ||
| - **Mobile-responsive** unless it's fundamentally desktop-only (complex dashboard) — in which case say so in the lead-in. | ||
| - **Animations under 400ms** for micro-interactions, custom easing not linear. Include `@media (prefers-reduced-motion: reduce)`. | ||
| - **Don't ship broken JS.** Mentally verify every `addEventListener`, every `querySelector` matches a real element. | ||
| ## Anti-AI-Slop (same principles as the landing-page skill, applied lightly) | ||
| - ❌ NEVER use `Inter` / `Roboto` / `Arial` / system fonts as default. Pick distinctive Google Fonts or Fontshare. | ||
| - ❌ NEVER default to purple-violet gradient on white. | ||
| - ❌ NEVER default to `Space Grotesk` everywhere — pick something else most of the time. | ||
| - Pick a deliberate palette tied to the artifact's mood, not Tailwind defaults. | ||
| - For dashboards: use a single dominant brand color + neutral grays + one accent for emphasis. Avoid the "rainbow chart with 8 colors" look — limit each chart to 1–3 colors. | ||
| - Hover / focus states on every interactive element. Cursor: pointer where appropriate. | ||
| ## RTL / Multilingual | ||
| - Set `<html lang dir>` correctly when content is in an RTL language. | ||
| - For mixed-language UIs (e.g. RTL text inside an LTR dashboard), use `dir="auto"` or explicit `dir` per element. | ||
| ## Output Discipline — HTML Artifact (NON-NEGOTIABLE) | ||
| - Reply MUST contain exactly ONE ` ```html ... ``` ` fenced code block with a COMPLETE, self-contained HTML document. | ||
| - Document must start with `<!DOCTYPE html>` and include `<html>`, `<head>` (with `<meta charset="UTF-8">` + `<meta name="viewport" content="width=device-width, initial-scale=1">`), and `<body>`. | ||
| - Embed ALL CSS inside `<style>` and ALL JavaScript inside `<script>`. No external CSS files, no relative asset paths. CDN URLs are fine. | ||
| - Approved CDN libraries: Tailwind, GSAP, Chart.js, D3.js, Three.js, Lucide Icons, Framer Motion, React 18 + Babel standalone, Vue 3, date-fns. | ||
| - Outside the html block: one-line lead-in and a short note about how to iterate. Nothing else. | ||
| ## Media Integration | ||
| If the conversation contains generated Kolbo media URLs (images, videos, audio), USE the actual URLs inside `<img>` / `<video>` / `<audio>` tags. Never substitute placeholders when real assets are available. | ||
| ## Publishing | ||
| After approval, call `publish_html_artifact({ title, content })` to publish to `sites.kolbo.ai` with strict CSP (`connect-src 'none'`, `form-action 'none'`). The page can't exfiltrate data; CDN libraries still load. |
| # App Builder | ||
| Load this file when the user wants to build / edit / iterate on a React app via Kolbo's App Builder ("build me a todo app", "add dark mode to my app", "give me the GitHub repo"). | ||
| Use the App Builder tools to generate and iterate on full React apps from a text prompt. The backend auto-provisions a GitHub repo, Supabase database (when the app needs storage), and a live hosted deployment — all in one flow. | ||
| ## Standard Workflow | ||
| 1. **Find project ID**: `app_builder_list_projects` → pick the right project | ||
| 2. **Create session**: `app_builder_create_session` with `project_id` | ||
| 3. **Generate app**: `app_builder_generate_app` with `session_id` + `prompt` | ||
| - Fires the build in the background, polls until `build_status === "deployed"` (up to 5 min) | ||
| - Always surface the `deployment_url` to the user: **"Your app is live at: [url]"** | ||
| 4. **Iterate**: `app_builder_list_generations` → get `generation_id` → `app_builder_edit_app` with natural language instruction | ||
| No manual polling needed — `generate_app` and `edit_app` block until the build completes. | ||
| ## Local Dev Workflow | ||
| If the user wants to run the app locally or connect to the database directly: | ||
| ``` | ||
| app_builder_get_session(session_id) → returns: | ||
| github_repo_url → git clone <url> && npm install && npm run dev | ||
| supabase_url → paste into .env as NEXT_PUBLIC_SUPABASE_URL | ||
| supabase_anon_key → paste into .env as NEXT_PUBLIC_SUPABASE_ANON_KEY | ||
| ``` | ||
| ## ⚠️ Rules | ||
| - **Always confirm before `app_builder_delete_session`** — permanently deletes the GitHub repo, Supabase DB (unless user-connected), deployed files, and history. IRREVERSIBLE. | ||
| - **On build timeout** (rare): use `app_builder_get_build_status` to check manually, then continue or report. | ||
| Whitelabel works automatically — the MCP client routes App Builder calls through whitelabel API endpoints. | ||
| ## Routing examples | ||
| | User says | Sequence | | ||
| |---|---| | ||
| | "Build me a todo app" / "Make a landing page with waitlist" | `app_builder_list_projects` → `app_builder_create_session` → `app_builder_generate_app` → show `deployment_url` | | ||
| | "Add dark mode to my app" / "Add a contact form" | `app_builder_list_generations` → `app_builder_edit_app` | | ||
| | "Give me the GitHub repo" / "Supabase credentials" | `app_builder_get_session` → return `github_repo_url` + `supabase_url` + `supabase_anon_key` | |
| # Cost Awareness, Validation & Constraints | ||
| Load this file when you need to: confirm cost before firing a generation, validate input params against a model's caps, or quote real cost after a generation completes. | ||
| ## Billing Units by Type | ||
| Creative generations bill against the user's Kolbo credit balance. **Billing units differ by type** — apply the correct formula before generating. | ||
| | Type | Billing unit | Credit range | Example | | ||
| |------|-------------|-------------|---------| | ||
| | **Image** | per image (flat) | 1–30 cr | Flux.1 Fast = 1 cr, Midjourney = 4 cr. If `resolution` is set, check `resolutionMultipliers` — some families multiply cost significantly at higher tiers. | | ||
| | **Image edit** | per image (flat) | 2–20 cr | | | ||
| | **Video** | **cr/s × duration** | 2–30 cr/s | Kandinsky 5 Fast × 5s = 10 cr; Seedance 2.0 × 10s = 300 cr. Check `resolutionMultipliers` + `soundCreditMultiplier`. | | ||
| | **Video from image** | **cr/s × duration** | 4–30 cr/s | Same per-second rule. | | ||
| | **Elements (ref-to-video)** | **cr/s × duration** | 4–30 cr/s | Check `credit` and multipliers in `list_models type="elements"`. | | ||
| | **Lipsync** | **cr/s × duration** | 5–20 cr/s | | | ||
| | **Music** | per generation (flat) | 15–60 cr | Suno v5 = 15 cr; ElevenLabs Music = 60 cr | | ||
| | **Speech (TTS)** | per 100 characters | 2–5 cr/100 chars | ElevenLabs (5) × 500 chars = 25 cr | | ||
| | **Sound effects** | per generation (flat) | 4–7 cr | | | ||
| | **3D model** | per model (flat) | 5–300 cr | Trellis = 5 cr; Meshy v6 = 150 cr; Marble 1.1 = 300 cr | | ||
| | **Transcription (stt)** | per minute of audio | `model.credit × duration_minutes` | | | ||
| ## Calculation Formulas | ||
| Apply when confirming cost before firing: | ||
| - **Video / Lipsync**: `total = model_credit_per_second × duration_seconds`. Never assume the credit shown is a flat per-generation cost for these types. | ||
| - **Music**: flat per generation — `total = model_credit` (duration does not change cost). | ||
| - **TTS**: `total = model_credit × ceil(character_count / 100)`. Count actual characters first. 1000 chars with ElevenLabs = 50 credits. | ||
| - **Images / 3D / Sound effects**: `total = model_credit × quantity`. | ||
| - **Resolution / audio multipliers**: if `resolution` is set or model has native audio, read `resolutionMultipliers[tier]` and `soundCreditMultiplier`. Formula: `final = base × resolutionMult × (sound ? soundMult : 1) × durationSeconds`. | ||
| ### Tier label → pixel mapping (rough) | ||
| - Images: `"1K"` ≈ 1024px, `"2K"` ≈ Full HD (1920×1080), `"3K"` ≈ QHD (2560×1440), `"4K"` ≈ UHD (3840×2160). Picker shows only tiers the model supports (per `supported_resolutions`). | ||
| - Videos: `"720p"` / `"1080p"` / `"1440p"` / `"2160p"` = vertical pixels. Some models use model-specific labels like `"512P"` / `"1024P"` (Hailuo). | ||
| ## When to Confirm Cost | ||
| **Skip cost confirmation when:** | ||
| - The user already specified model + count + duration ("make 5 videos, seedance 2 fast, 15s" IS the confirmation). | ||
| - A single generation costs under 5 credits. | ||
| **Required cost confirmation when:** | ||
| - Anything else — present a one-line summary: "8 videos × 5s × [model] @ X cr/s = **Y credits**. Proceed?" | ||
| - Suggest a cheaper alternative if one exists. | ||
| - Wait for the user's confirm before firing. | ||
| **Batch totalling 100+ credits:** run `check_credits` first and include the available balance in the summary. | ||
| ## ⚠️ Quote Real Cost, Never Estimates (CRITICAL) | ||
| Pre-flight formulas above are for **preview only**. After firing, every generation returns `credits_used` (multiplier-adjusted total) and `credits_breakdown` (per-model attribution). | ||
| ```json | ||
| { | ||
| "credits_used": 12, | ||
| "credits_breakdown": [ | ||
| { "model": "nano-banana-2", "base": 8, "final": 12, ... } | ||
| ], | ||
| "urls": [...] | ||
| } | ||
| ``` | ||
| **Log `credits_used` to `.kolbo/production.md`**, not `base × count`. The multiplier-adjusted number is the only truth. | ||
| When the user asks "how much did I spend?" → call `get_session_usage` for the real, multiplier-adjusted session total + per-tool + per-model breakdowns (same numbers as the desktop bottom-bar counter). | ||
| ## Validation Pattern — Every Generation | ||
| Before submitting: | ||
| 1. Call `list_models type=<tool-type>` (text mode is enough for picking; `format: "json"` for programmatic comparison). | ||
| 2. For each input array (refs / DNAs / elements) — check `length <= <cap>` from the canonical field reference below. If over, drop the lowest-priority entries OR ask the user. | ||
| 3. For each enumerated value (`aspect_ratio` / `resolution` / `duration`) — check it's in `supported_*`. If not, **do not silently substitute**; show the user the allowed set and ask. | ||
| 4. For each duration-bearing file (source_video for lipsync/v2v, audio for lipsync/elements) — pre-check duration against the min/max range. Use ffmpeg if needed. | ||
| 5. For uploads — pre-check size against `max_file_size`. | ||
| The MCP tool descriptions also embed the cap field name on the relevant parameter (e.g. `reference_images: "...Cap: pass at most max_reference_images..."`) — use those as inline reminders. | ||
| ## Canonical Field Reference — Which `list_models` Field Controls Which Input | ||
| The same conceptual slot (e.g. "max reference images") lives under **different field names per model family**. Read the row for your tool, not the model name. | ||
| | Your input | Tool(s) | Field on the model | What `0` / `null` means | | ||
| |---|---|---|---| | ||
| | `reference_images` | `generate_image`, `generate_image_edit` (uses `source_images`), `generate_creative_director`, `generate_video` | `max_reference_images` | `0` = no refs | | ||
| | `reference_images` | `generate_elements` | `elements_max_images` | `0` = no image refs | | ||
| | `reference_images` | `generate_video_from_video` | `max_images` | `0` = no secondary image input | | ||
| | `reference_videos` | `generate_elements` | `elements_max_videos` | `0` = no video refs | | ||
| | `reference_videos` | `generate_video_from_video` | `max_videos` | `<= 1` = only the source_video | | ||
| | `elements` | `generate_video_from_video` | `max_elements` | `0` = no elements | | ||
| | `audio_url` | `generate_elements` | `elements_max_audio` (+ `max_audio_duration` for the file) | `0` = no audio ref | | ||
| | `visual_dna_ids` | every DNA-aware tool | `max_visual_dna` (+ `supports_visual_dna` boolean) | `null` / `0` / `false` = model rejects DNA | | ||
| | `aspect_ratio` | any | `supported_aspect_ratios` (or `_by_type[<type>]` when multimodal) | empty → `default_aspect_ratio` if set | | ||
| | `resolution` | any | `supported_resolutions` (+ `resolution_multipliers` for cost) | empty → no resolution tiering | | ||
| | `duration` (video output) | video tools | `supported_durations`, else `min_output_duration`–`max_output_duration` | both null → omit and let server default | | ||
| | **input** video duration | `lipsync-video`, `generate_video_from_video` | `min_video_duration` – `max_video_duration` | outside range → reject | | ||
| | input audio duration | `generate_lipsync`, `generate_elements` audio | `min_audio_duration` – `max_audio_duration` (+ `audio_max_follows_video_duration` for lipsync) | outside range → reject | | ||
| | audio file format | any audio input | `supported_audio_formats` (e.g. `["mp3","wav","m4a"]`; empty = all) | pre-validate before upload | | ||
| | recording duration | `text_to_speech` recording UX | `min_recording_duration` – `max_recording_duration` | usually null for plain TTS | | ||
| | upload file size | every file upload | `max_file_size` (bytes) | null → use platform default | | ||
| | `num_images` | image tools | `images_per_request` overrides for fixed-output models (Midjourney returns 4) | null → `num_images` honored as-is | | ||
| | `prompt` | every tool | `requires_prompt`, `min_prompt_length`, `max_prompt_length` | null → unconstrained | | ||
| | sound on/off | video tools | `sound_generation_type` (`"native"` vs `"none"`), `sound_enabled_by_default`, `sound_credit_multiplier` | not `"native"` → can't emit synced audio | | ||
| | capability gate | route decision | `supports_visual_dna`, `supports_first_last_frame`, `supports_audio_input` | `false` → the controller silently drops that param | | ||
| Cost formula: `final_cost = credit × resolution_multipliers[resolution] × (sound_enabled ? sound_credit_multiplier : 1)`, multiplied by `num_images` / `scene_count` as applicable. | ||
| ## Decision Rule for Resolution | ||
| 1. **User specified resolution explicitly** ("4K", "1080p", "480p") → ALWAYS verify in `supported_resolutions` BEFORE firing. If not supported: | ||
| - ❌ Do **NOT** silently substitute. The user asked for 480p; sending 720p without consent burns 1.5–2× the credits they expected. | ||
| - ✅ Show them the supported set in one line and ask: | ||
| > "Seedance 2 elements supports `[720p, 1080p, 1440p, 2160p]` — 480p isn't available. Closest cheap option is 720p (~+0 credits over your intent). Want 720p, or pick another?" | ||
| - Only fire after they reply. | ||
| 2. **User specified quality intent without numbers** ("draft", "quick test", "final delivery", "for client", "production"): | ||
| - draft / quick / preview → cheapest in `supported_resolutions` (1K / 720p) | ||
| - normal / standard → middle tier (typically 2K / 1080p) | ||
| - final / production / hero → highest the user's budget allows (3K-4K / 1440p-2160p) | ||
| 3. **No quality signal AND cost difference >2×** OR total batch ≥4 outputs → **ask the user once** with a one-line cost comparison, then default to standard if they don't reply. | ||
| 4. **No quality signal AND cost difference ≤1.5×** → quietly use the cheapest supported, no need to interrupt. | ||
| 5. **Sound on a video model with `sound_credit_multiplier > 1`** → if user didn't ask for sound, leave it off. If user said "with sound" / "with music", enable it. | ||
| ## Defaults When Nothing Is Specified | ||
| - **Image**: `1K` (or the cheapest in `supported_resolutions`). | ||
| - **Video**: `720p` (or the cheapest), with `default_duration` (or shortest in `supported_durations`). | ||
| - **Sound**: respect `sound_enabled_by_default`; if false, leave off. | ||
| ## Always Log the Resolution / Duration / Sound Choices | ||
| Production-log entries should include the resolution and (for video) duration + sound state alongside the URL, so the user can see what they paid for: | ||
| ```md | ||
| - still: https://...01-coffee.png (flux-2-pro · 1K, 2026-05-14) | ||
| - video: https://...02-rain.mp4 (kling-2 · 1080p · 5s · sound-off, 2026-05-14) | ||
| ``` |
| # DTC Ads — Composed Brand Image Workflow | ||
| Load this file when the user wants a **DTC ad image** composed from brand identity + ad format + optional avatar/product/reference media. For ad **video** see `workflows/marketing-studio.md`. For brand **product imagery** (Pinterest pin, hero banner, ad pack) see `workflows/product-photoshoot.md`. For marketplace listings see `workflows/marketplace-cards.md`. | ||
| ## What This Is | ||
| A DTC ad is built from **5 composable blocks**: | ||
| 1. **Ad format** — the structural template (headline-driven, bullet-points, us-vs-them, before-after, founder-statement, etc.). Defines the layout shape. | ||
| 2. **Brand kit** *(optional)* — palette, fonts, logo, tone, voice. Keeps every ad in a campaign visually consistent. | ||
| 3. **Avatar** *(optional)* — a presenter face (curated character or trained Visual DNA). Use when the brand has a specific founder, model, or recurring presenter. | ||
| 4. **Product** *(optional)* — the item being sold. One product image, or a product brief from a URL. | ||
| 5. **Reference media** *(optional)* — up to ~14 reference images to anchor style / composition / setting. | ||
| You don't need all 5. The minimum is: a **prompt** + an **ad format**. Everything else is opt-in based on what the user provides. | ||
| ## End-to-End Flow | ||
| ``` | ||
| 1. Pick an ad format → ask user (labeled options, never auto-pick) | ||
| 2. Pick / build brand kit → workflows/research-first.md persists to .kolbo/brand-kits/<slug>.md | ||
| 3. Attach avatar → workflows/visual-dna.md ("character" type DNA) | ||
| 4. Attach product → upload_media → reference_images | ||
| 5. Attach reference media → upload_media → reference_images (up to ~14 total) | ||
| 6. Generate → generate_creative_director (multi-variant) or generate_image (single) | ||
| 7. Deliver → image URLs + brief one-line summary | ||
| ``` | ||
| ## Ad Format — Always Ask Explicitly | ||
| Picking an ad format is **mandatory and creative** — don't auto-pick from the user's phrasing. The catalogue is small and the choice changes the layout shape dramatically. Always present labeled options: | ||
| | Format type | Examples | | ||
| |---|---| | ||
| | **Headline-driven** | Big hero phrase + small product. "Hero word" style. | | ||
| | **Bullet points** | 3–5 benefit bullets + product hero. SaaS / DTC standard. | | ||
| | **Us vs Them** | Side-by-side comparison column. Competitor takedown style. | | ||
| | **Before / After** | Split frame showing transformation. Great for skincare, fitness, home. | | ||
| | **Founder statement** | Founder portrait + quote + product. Trust-builder. | | ||
| | **Lifestyle hero** | Product in-use in an aspirational scene. No copy hero. | | ||
| | **Pure product** | Clean studio product shot with brand framing. | | ||
| | **Testimonial** | Customer quote + face + product. Social proof. | | ||
| | **Pattern interrupt** | Bold color block / typographic shock / surreal composition. Scroll-stopper. | | ||
| When the user says "make me an ad" without naming a format, offer 3 of these in a labeled question (don't dump all 9). Pick the 3 that best fit the product / brand / phase the user mentioned. | ||
| ## Brand Kit Reuse | ||
| If `.kolbo/brand-kits/<slug>.md` exists for the brand (see `workflows/research-first.md`), **Read it first** and pull `primary_color`, `accent_color`, `text_color`, `bg_color`, `fonts`, `tone`, `target_user`, `logo_url`. Bake these into the prompt: | ||
| - Exact hex codes for every color (`#FF4D2E` not "orange") | ||
| - Named fonts (`Inter Bold for headline, Inter Regular for body`) | ||
| - Tone descriptors from `### Voice & Audience` | ||
| - Logo as `reference_images[0]` with `@image1` reference in the prompt ("place logo from `@image1` top-left at 8% width, no recolor") | ||
| If no brand kit exists and the user gives a brand URL, run `workflows/research-first.md` to build one. Then come back here. | ||
| ## Avatar Workflow | ||
| For ads featuring a specific presenter (founder, recurring model, character): | ||
| 1. **Check if a Visual DNA exists** — `list_visual_dnas`. Match by name or recent use. | ||
| 2. **If yes** — pass `visual_dna_ids: ["<id>"]` and reference as `@<dna-name>` in the prompt. | ||
| 3. **If no** and the user wants a specific person — create one per `workflows/visual-dna.md` (always generate 2 reference images first; lock single-token lowercase name). | ||
| 4. **If no** and the brief doesn't need a specific face — skip the avatar entirely; the model will synthesize a plausible presenter. | ||
| ## Product Workflow | ||
| For ads featuring a specific product: | ||
| | User provides | Do | | ||
| |---|---| | ||
| | **Product photo** (local file or URL) | `upload_media({ source })` → tag as `@image1` in prompt → log to `.kolbo/production.md` under `### Products` | | ||
| | **Product URL only** (no photo) | Run `workflows/research-first.md` first to scrape hero images + brand palette; re-host via `upload_media` → use Kolbo CDN URL | | ||
| | **Multiple angles** | Upload all in parallel (one `upload_media` call each) → pass all in `reference_images` → tag `@image1`, `@image2`, … per `workflows/visual-dna.md` reference-tagging rules | | ||
| | **Nothing — text only** | Ask once: "Do you have a product photo? It dramatically improves fidelity." If they say no, proceed text-only but warn quality may be lower | | ||
| **Always log products in `.kolbo/production.md`** so subsequent ads in the same workspace reuse the same CDN URL without re-uploading. | ||
| ## Reference Media Cap | ||
| Up to **~14 reference images per call**. Higher = the model gets confused about which reference plays which role. Use **`@image1` / `@image2` / …** tags to bind each reference to a role: | ||
| ``` | ||
| Headline ad with @maya (the founder) holding @image1 (the product), | ||
| shot in the style of @image2 (lifestyle reference). | ||
| Match the palette from the brand kit (#FF4D2E primary, #1A1A1A text). | ||
| ``` | ||
| See `workflows/visual-dna.md` for the full tagging system. | ||
| ## Generate | ||
| **Pick the right Kolbo MCP tool based on output count:** | ||
| - **Single ad image** → `generate_image` with `model: "<from list_models>"`. Use Nano Banana 2 for character/lifestyle, GPT Image 2 for layouts with dense on-image text or infographics, Nano Banana Pro for hero/brand-final assets. | ||
| - **Multi-variant set** (3–8 variants of the same ad concept with different palettes / angles / hooks) → `generate_creative_director` with `scene_count`. The director plans each variant's prompt internally. | ||
| - **Identical prompt, just different seeds** (rare for ads — usually you want varied direction) → `generate_image` with `num_images: 1–4`. | ||
| ## Output Settings — Always Confirm | ||
| These materially change output and cost. Ask once, labeled options, before firing: | ||
| | Setting | Common options for ads | | ||
| |---|---| | ||
| | `aspect_ratio` | `1:1` (IG feed) / `9:16` (Reels / TikTok / Stories) / `4:5` (IG portrait) / `16:9` (YouTube, banners) / `1.91:1` (Facebook feed) | | ||
| | `resolution` | `1K` (drafts, fast iteration) / `2K` (standard delivery) / `4K` (hero / print) | | ||
| | Quantity | `1` (test) / `3–4` (variant exploration) / `8` (full ad pack via Creative Director) | | ||
| Default-to-cheapest when the user hasn't expressed a quality intent and the difference is ≤ 2× cost. | ||
| ## Failure Handling | ||
| - **Content-policy refusal** → don't retry the same prompt. Suggest less-explicit phrasing or a different product framing. | ||
| - **Brand asset not loading** (logo URL 404, hex code typo) → fix the brand kit file, then retry. | ||
| - **Watermarks / extra text appearing uninvited** → add explicit prompt constraints: "NO captions, NO subtitles, NO watermarks, NO extra text beyond what's specified." This is the most common DTC ad failure mode — models love to invent copy. | ||
| - **Generic 5xx / rate-limit** → retry ONCE with the same payload after a short pause. See SKILL.md "Detecting failed generations". | ||
| ## UX Rules | ||
| 1. **Always pick an ad format explicitly** with the user — never auto-pick. | ||
| 2. **Always confirm aspect ratio + resolution + quantity** before firing. | ||
| 3. **Always check for a brand kit** before scraping fresh — `Read .kolbo/brand-kits/<slug>.md` first. | ||
| 4. **Always log products + brand kits in `.kolbo/production.md`** so future ads reuse instead of re-uploading / re-scraping. | ||
| 5. **No auto-retry on failure** — surface the reason and let the user adjust. | ||
| 6. **Strict NO uninvited additions** in every ad prompt: "NO captions, NO subtitles, NO watermarks, NO extra text beyond what's specified." |
| # Marketing Studio — UGC, Ads & Branded Video | ||
| Load this file when the user wants **branded ad video** — UGC, unboxing, product showcase, TV spot, virtual try-on, or any "make me an ad / commercial / creator video" request. | ||
| For ad **images** (Pinterest pin, hero banner, ad creative pack) see `workflows/product-photoshoot.md`. | ||
| For **marketplace listings** (Amazon main + secondary + A+ content) see `workflows/marketplace-cards.md`. | ||
| For the **DTC ads engine flow** (brand kit + ad format + avatar + product) see `workflows/dtc-ads.md`. | ||
| ## The 9 Marketing Modes | ||
| | Mode | What it's for | Hook/Setting allowed? | | ||
| |---|---|:-:| | ||
| | `ugc` | **Default.** Casual, organic-feel content from a presenter | ✅ | | ||
| | `ugc_how_to` | Tutorial / explainer — "here's how to use this" | ✅ | | ||
| | `ugc_unboxing` | Unboxing reveal — "just got this in the mail" | ✅ | | ||
| | `product_showcase` | Clean product highlight, polished | ❌ | | ||
| | `product_review` | Presenter giving an opinion on the product | ✅ | | ||
| | `tv_spot` | Broadcast-style commercial, higher production | ❌ | | ||
| | `wild_card` | Experimental — model picks the vibe | ❌ | | ||
| | `ugc_virtual_try_on` | Person trying on clothing / accessories — UGC vibe | ✅ | | ||
| | `virtual_try_on` | Same but polished, model-driven | ❌ | | ||
| **"Hook/Setting allowed"** = whether reusable opening hook prompts and scene-setting prompts can be prepended to the user prompt. Polished modes (`product_showcase`, `tv_spot`, `wild_card`, `virtual_try_on`) ignore hooks/settings. | ||
| **Default when the user doesn't specify a mode:** `ugc`. | ||
| ## Picking the Mode | ||
| | User phrasing | Mode | | ||
| |---|---| | ||
| | "UGC", "creator video", "talking head", "phone-shot", "selfie video", "vlogger" | `ugc` | | ||
| | "tutorial", "how to use", "demonstrate", "walkthrough", "explainer" | `ugc_how_to` | | ||
| | "unboxing", "just got this", "reveal", "first impression" | `ugc_unboxing` | | ||
| | "product showcase", "highlight reel", "showroom" | `product_showcase` | | ||
| | "review", "my take on", "comparing X to Y", "honest opinion" | `product_review` | | ||
| | "TV ad", "commercial", "broadcast", "polished ad spot" | `tv_spot` | | ||
| | "surprise me", "something different", "experimental" | `wild_card` | | ||
| | "try on" / "wearing the X" + organic vibe | `ugc_virtual_try_on` | | ||
| | "fashion shoot", "lookbook", polished try-on | `virtual_try_on` | | ||
| If the user mentions a product / brand but no mode word, default to `ugc`. If they say "ad" without "TV ad" / "commercial" / "broadcast", default to `ugc` (most modern ads are UGC-shaped). | ||
| ## Mode → Kolbo MCP Routing | ||
| The mode determines which Kolbo MCP tool to call, what defaults to set, and what's forbidden. | ||
| | Mode | Primary tool | aspect_ratio | duration | sound_enabled | Captions / watermarks | | ||
| |---|---|---|---|:-:|:-:| | ||
| | `ugc`, `ugc_how_to`, `ugc_unboxing`, `ugc_virtual_try_on`, `product_review` | `generate_video_from_image` (frame-first) OR `generate_elements` (Visual DNA → video) | **`9:16`** | model's `default_duration` (5–8s) | OFF | **Never add** | | ||
| | `product_showcase` | `generate_creative_director` with `workflow_type: "video"` (for multi-shot) OR `generate_video` (single) | `16:9` or `1:1` | 5–10s | ON if model supports `sound_generation_type: "native"` | Allowed if user asks | | ||
| | `tv_spot` | `generate_creative_director` with `workflow_type: "video"` (3–6 shots for a beat structure) | `16:9` | 15–30s total | ON (full audio + dialogue) | Allowed if part of the spot | | ||
| | `virtual_try_on` | `generate_elements` with character Visual DNA + product as `reference_images` | `9:16` or `4:5` | 5–8s | OFF | Never add | | ||
| | `wild_card` | User's chosen model with broader prompt latitude (no mode-specific defaults) | User's pick | User's pick | User's pick | User's pick | | ||
| **Pick the actual model** with `list_models({ type: "..." })` and validate caps before firing — see SKILL.md "Resolution / Aspect / Duration — validate against caps". | ||
| ## UGC Family Defaults (CRITICAL) | ||
| When ANY `ugc*` mode is selected, snap to these unless the user explicitly overrides: | ||
| | Setting | UGC default | Why | | ||
| |---|---|---| | ||
| | `aspect_ratio` | `9:16` | TikTok / Reels / Shorts are vertical-first | | ||
| | Visual aesthetic | Phone-shot, handheld, natural lighting | UGC works because it doesn't look produced | | ||
| | Camera language | Slight handheld sway, selfie-arm framing, key light from window/screen | NOT slow dollies, NOT crane moves, NOT studio key | | ||
| | Energy | "Talking to a friend" — casual, direct-to-camera, occasional gestures | Not theatrical, not staged | | ||
| | **Captions / subtitles / text overlays** | **NEVER add** unless explicitly requested | Users add captions in CapCut / native editor; baked-in captions limit reuse | | ||
| | **Brand watermarks / lower-thirds / banners** | **NEVER add** unless explicitly requested | Same reason | | ||
| | Music / SFX | OFF by default unless asked | They'll layer their own audio in post | | ||
| | Length | Model's `default_duration` (typically 5–8s) | Shorter = more usable for the algorithm | | ||
| **Phrases that activate UGC defaults:** "UGC", "user-generated", "creator video", "TikTok", "Reels", "Shorts", "POV", "selfie video", "phone-shot", "vlogger", "talking head" (when context implies social media), "for social", "Instagram video", "YouTube short". | ||
| **Phrases that OVERRIDE UGC defaults** (use them as-given, not as UGC): "commercial", "ad spot" (without UGC), "cinematic", "broadcast", "TV ad", "horizontal", "16:9", "landscape", "billboard". When the user uses one of these, switch to `product_showcase` or `tv_spot` mode. | ||
| ## Hooks & Settings (concept) | ||
| Hooks and settings are **reusable opening angles / scene contexts** that get prepended to the user's prompt. Kolbo does not yet expose these as first-class MCP primitives, but the concept is portable: | ||
| - **Hook** = the opening line / angle of the ad (the first 1–2 seconds that earn the scroll). Example hooks: "POV: you just discovered X", "Why I stopped buying Y", "3 reasons this X is worth it", "Watch this before you buy a Y". | ||
| - **Setting** = the scene/environment context. Example settings: "in a bright minimalist kitchen", "walking in a busy city street", "on a yoga mat at golden hour". | ||
| **When the user asks for an ad and doesn't specify the opening**, offer 2–3 hook options (one-liner each) in a labeled-question style — never freeform "what hook?" Same for setting if the brief is location-agnostic. | ||
| **Whitelist rule:** hooks/settings only make sense for `ugc`, `ugc_how_to`, `ugc_unboxing`, `product_review`, `ugc_virtual_try_on`. For `product_showcase`, `tv_spot`, `wild_card`, `virtual_try_on` — skip hooks/settings; those modes are concept-driven not hook-driven. | ||
| **Mutually exclusive with ad references** (next section). Pick one path per generation. | ||
| ## Ad References (modeling new ads after existing ones) | ||
| Sometimes the user has a reference ad they want to model the new ad after — their own previous winning ad, a competitor's ad, or a viral video. Kolbo path: | ||
| 1. **Upload the reference video** via `upload_media` (returns CDN URL). | ||
| 2. **Pass it as `reference_videos`** to `generate_elements`, OR as `source_video` to `generate_video_from_video` (if you want to actually restyle / re-shoot the reference). | ||
| 3. **Describe in the prompt** what to preserve from the reference (`@video1`'s pacing / camera move / lighting / cut rhythm) and what to change (subject / product / setting). | ||
| 4. **Tag with `@video1`** per `workflows/visual-dna.md` reference-tagging rules. | ||
| **Mutually exclusive with hooks/settings** — pick one composition path per generation. Either reference-driven (use `@video1`) or composed-from-blocks (hook + setting + product). Mixing produces muddled output. | ||
| ## Avatars (= Visual DNA characters) | ||
| What other platforms call "preset avatars" or "custom avatars" Kolbo calls **Visual DNA characters**. Two ways to get one: | ||
| - **Existing character** — use `list_visual_dnas` to find one the user has already created. | ||
| - **New character** — create with `create_visual_dna({ type: "character", name, images: [...] })`. See `workflows/visual-dna.md` for the full creation flow (pre-flight, naming rule, generate-reference-images-first). | ||
| **For UGC modes:** an avatar is optional if the brief clearly mentions a person (the model can synthesize one). Pass `visual_dna_ids` when the user wants a *specific* presenter — their face, the brand founder, a previously trained character. | ||
| **Always use `@<dna-name>` in the prompt** when passing `visual_dna_ids` — see `workflows/visual-dna.md` `@name` rules. | ||
| ## Products (image upload + reference) | ||
| For ads that feature a specific product: | ||
| 1. **Upload product photo** via `upload_media` → Kolbo CDN URL. | ||
| 2. **Pass as `reference_images`** to `generate_creative_director` / `generate_elements` / `generate_video_from_image`. | ||
| 3. **Tag with `@image1`** in the prompt. | ||
| 4. **Log in `.kolbo/production.md`** under a `### Products` subsection so future ads in the same workspace reuse the same CDN URL (don't re-upload). | ||
| If the user gives a **product URL** instead of a photo, see `workflows/research-first.md` — scrape, extract images, re-host via `upload_media`, persist as a brand kit at `.kolbo/brand-kits/<slug>.md`. | ||
| ## UX Rules | ||
| 1. **Always pick a mode explicitly.** Don't auto-pick from one ambiguous word. If the user said "make me an ad" with no other signal, offer labeled options: `[UGC / TV Spot / Product Showcase / Surprise me]`. | ||
| 2. **Always confirm aspect ratio + duration + sound** before firing — these materially change output and cost. One question, labeled options. | ||
| 3. **Default UGC settings are hard rules** — captions OFF, music OFF, watermarks OFF — even when the user doesn't mention them. Only flip when they ask. | ||
| 4. **No auto-retry on failure.** If the generation fails (content policy, model OOM), surface the reason and let the user adjust prompt or product. | ||
| 5. **Show results without dumping URLs** — see SKILL.md "Generated URLs in chat". | ||
| ## Prompt Template Seed for UGC | ||
| ``` | ||
| UGC selfie video, vertical 9:16, handheld phone aesthetic. | ||
| {presenter description or @<dna-name>} in {everyday setting}, | ||
| {energy level: relaxed | enthusiastic | curious | reactive}. | ||
| They {natural action with the product/subject}, | ||
| talking directly to camera. | ||
| Phone-shot lighting (window/screen key light), | ||
| slight handheld sway, no cinematic moves. | ||
| Style: authentic creator content, NOT polished commercial. | ||
| Sound: ambient room tone only, no music, no SFX overlay. | ||
| ``` | ||
| ## Prompt Template Seed for TV Spot | ||
| ``` | ||
| 3-shot broadcast commercial, cinematic 16:9. | ||
| Shot 1 [0–5s] — {establishing hook}: {wide angle subject + camera move}, {lighting}, {tone setter}. | ||
| Shot 2 [5–15s] — {product reveal / demo}: {medium shot with product in focus}, {practical action}, {emotional beat}. | ||
| Shot 3 [15–25s] — {payoff + CTA}: {close-up or pull-back}, {brand line in dialogue or SFX}, {final hold}. | ||
| Style: {brand mood — e.g., warm + premium / clean + modern / bold + youthful}. | ||
| Audio: full mix — dialogue + score + SFX. Music: {genre/tempo}. | ||
| ``` | ||
| (Run via `generate_creative_director` with `workflow_type: "video"`, `scene_count: 3`.) |
| # Marketplace Cards — Amazon / Shopify / eBay Listings | ||
| Load this file when the user wants **marketplace listing visuals** — main image, secondary product images, infographics, or A+ content modules for Amazon, Shopify, eBay, Etsy, Walmart, or similar. | ||
| For generic brand product photography (Pinterest, hero banner, lifestyle, ad pack) see `workflows/product-photoshoot.md`. For ad video see `workflows/marketing-studio.md`. For composed DTC ads see `workflows/dtc-ads.md`. | ||
| ## What This Is | ||
| Marketplace listings need a **specific, compliance-aware visual system** that's different from brand campaign imagery: | ||
| - **Main image** — strict marketplace rules (typically pure white background, product fills 85% of frame, no text, no props, no shadows). This is the conversion-critical thumbnail. | ||
| - **Secondary product images** — multi-angle, detail shots, lifestyle, "what's in the box". Show the product from every angle a shopper needs before clicking buy. | ||
| - **A+ content / Enhanced Brand Content (Amazon)** — long-form modules below the fold: hero banner, pain-point grid, feature comparison, ingredients breakdown, efficacy proof, how-to-use steps, brand endorsement / founder story. | ||
| ## The 4 Bundle Scopes | ||
| When the user asks for a common bundle, fire one call per scope: | ||
| | Scope | Creates | | ||
| |---|---| | ||
| | `main` | 1 marketplace main image | | ||
| | `product-images` | main image + 5 secondary images | | ||
| | `aplus` | main image + 7 A+ content modules | | ||
| | `full-set` | main image + 5 secondary + 7 A+ modules (13 assets total) | | ||
| Use a **custom subset** of the asset list below when the user wants a non-standard combination (e.g. "just main + infographic + lifestyle"). | ||
| ## The 13 Asset Types | ||
| | Asset | Purpose | Aspect ratio | Model preference | | ||
| |---|---|---|---| | ||
| | `main_image` | Marketplace thumbnail — strict compliance: pure white bg, product fills 85% of frame, no text, no props | `1:1` | Nano Banana 2 (clean studio render) | | ||
| | `infographic` | Feature callouts with text labels and product hero | `1:1` or `4:5` | **GPT Image 2** (dense on-image text) | | ||
| | `multi_angle` | 4-up grid showing front / back / sides of product | `1:1` | Nano Banana 2 | | ||
| | `detail_shot` | Macro shot of texture / material / mechanism | `1:1` | Nano Banana 2 | | ||
| | `lifestyle` | Product in use in real environment | `1:1` or `4:5` | Nano Banana 2 | | ||
| | `whats_in_box` | Flat-lay showing the product + accessories laid out neatly | `1:1` | Nano Banana 2 | | ||
| | `aplus_hero_banner` | Wide A+ header — brand identity hit | `3:1` | GPT Image 2 | | ||
| | `aplus_pain_points` | 3-up grid showing the problem this product solves | `16:9` | GPT Image 2 (text) | | ||
| | `aplus_features` | 3-up or 4-up feature breakdown with labels | `16:9` | GPT Image 2 | | ||
| | `aplus_ingredients` | Ingredients / materials breakdown (skincare, food, supplements) | `16:9` | GPT Image 2 | | ||
| | `aplus_efficacy` | Before/after, % stats, clinical results — proof block | `16:9` | GPT Image 2 (charts + text) | | ||
| | `aplus_how_to_use` | Numbered step-by-step usage instructions | `16:9` | GPT Image 2 | | ||
| | `aplus_endorsement` | Founder story, brand mission, testimonial-style | `16:9` | Nano Banana 2 (people) + GPT Image 2 (text overlay) | | ||
| ## Kolbo MCP Routing | ||
| For **bundles** (`product-images`, `aplus`, `full-set`): use `generate_creative_director` with `scene_count` = number of assets in the bundle. Pass the product image as `reference_images[0]` so it appears consistently across every asset. Each scene's prompt encodes one asset type. | ||
| For **single `main` image** or **custom subset** of ≤ 2 assets: `generate_image` per asset, fired in parallel (single response, multiple tool calls). | ||
| For **multi-angle** specifically: this is one image with a 4-up grid composition — use `generate_image` with a prompt describing the 2×2 layout, NOT `generate_creative_director`. (Or alternatively, fire 4 separate `generate_image` calls and composite the grid yourself — depends on user preference.) | ||
| **Always pass the product photo** as `reference_images` for every call. `@image1` references it in the prompt. If the user gave a URL instead of a photo, run `workflows/research-first.md` first. | ||
| ## Main Image Compliance Rules (HARD) | ||
| Different marketplaces have different rules. The **strictest is Amazon's**, which most other marketplaces follow: | ||
| 1. **Pure white background** (`#FFFFFF`, no gradients, no shadow tone). | ||
| 2. **Product fills ≥ 85% of the frame** — minimal margin. | ||
| 3. **NO text** — no logos baked in, no callouts, no "NEW" stickers, no watermarks. | ||
| 4. **NO props** — just the product. No hands, no models, no styling pieces. | ||
| 5. **NO multiple products** — single hero (variant grids go in secondary, not main). | ||
| 6. **NO color borders / decorative frames**. | ||
| Bake these into every `main_image` prompt as explicit prohibitions: | ||
| ``` | ||
| Pure white background (#FFFFFF), seamless studio sweep. | ||
| Product (@image1) centered, fills 85% of frame. | ||
| Tack-sharp focus, no shadows on background, soft contact shadow only. | ||
| NO text, NO logos, NO captions, NO props, NO models, NO decorative borders. | ||
| Photographic, catalog-grade, neutral color. | ||
| ``` | ||
| ## Secondary Image Strategy | ||
| 5-image standard set (when the user says `product-images` scope): | ||
| 1. **Lifestyle** — product in use, real environment | ||
| 2. **Detail / texture** — macro of the key material or feature | ||
| 3. **Multi-angle** — 4-up showing all sides | ||
| 4. **What's-in-the-box** — flat-lay of components | ||
| 5. **Scale / size reference** — product next to a hand or known-size object | ||
| Adjust based on category: skincare needs ingredients close-up + texture-on-skin; apparel needs front + back + on-model + detail + size chart; electronics needs ports/buttons close-up + size comparison. | ||
| ## A+ Content Strategy | ||
| A+ modules tell a story below the fold. Standard 7-module flow: | ||
| 1. `aplus_hero_banner` — brand identity / aspirational hero | ||
| 2. `aplus_pain_points` — what problem we solve | ||
| 3. `aplus_features` — how we solve it (3–4 differentiators) | ||
| 4. `aplus_ingredients` (skincare/food/supplements) OR materials/specs (electronics/apparel) | ||
| 5. `aplus_efficacy` — proof (before/after, % stats, third-party data) | ||
| 6. `aplus_how_to_use` — usage steps | ||
| 7. `aplus_endorsement` — founder story / mission / testimonial | ||
| For dense-text modules (`aplus_features`, `aplus_pain_points`, `aplus_efficacy`, `aplus_how_to_use`): always recommend **GPT Image 2** at `resolution: "2K"` or `"4K"` (text needs the higher tier to stay sharp). | ||
| ## Brand Kit Reuse | ||
| Check `.kolbo/brand-kits/<slug>.md` before generating. Pull `primary_color`, `accent_color`, `text_color`, `bg_color`, `fonts`. Bake into every A+ module prompt — marketplace pages live or die on visual consistency across the 13 assets. | ||
| ## Pre-Generation Interview | ||
| Ask 2–3 short labeled questions before firing: | ||
| 1. **Which marketplace?** `[Amazon US / Amazon EU / Shopify / Etsy / eBay / Walmart / Other]` — affects compliance rules | ||
| 2. **Which bundle?** `[main / product-images / aplus / full-set / custom subset]` | ||
| 3. **Brand kit?** Auto-detect from `.kolbo/brand-kits/<slug>.md`; otherwise ask if brand colors / fonts should be applied | ||
| Skip questions whose answer is obvious from the request. | ||
| ## Output Discipline | ||
| - For bundles: `generate_creative_director` returns N URLs. Present them in chat as a numbered list, one URL per line, with the asset name as label: | ||
| ``` | ||
| Marketplace cards ready: | ||
| 1. Main image: https://... | ||
| 2. Lifestyle: https://... | ||
| 3. Detail shot: https://... | ||
| ... | ||
| ``` | ||
| Do NOT wrap them in an HTML grid artifact — the canvas already shows the gallery. | ||
| - Log all URLs to `.kolbo/production.md` under `## Production: <product name>` → `### Marketplace Cards` subsection. | ||
| - If a `main_image` came back with text / props (compliance failure), surface the issue and re-fire with stronger prompt prohibitions — don't ship a non-compliant main image. | ||
| ## Existing Main-Image Reuse | ||
| If the user already has an approved `main_image` from a prior session and wants to generate only secondary / A+ assets that match it: | ||
| 1. Look up the main image URL from `.kolbo/production.md`. | ||
| 2. Pass it as `reference_images[0]` (in addition to the product photo) so the new assets match the main's exact rendering style — same lighting, same color cast, same product orientation. | ||
| 3. Tag it as `@image2` in the prompt: "Match the product rendering from `@image2` exactly — same angle, same lighting, same color cast." | ||
| ## UX Rules | ||
| 1. **Always ask which marketplace** — compliance rules vary. | ||
| 2. **Strict compliance prompts on main_image** — explicit NO text / NO props / NO models / NO borders. | ||
| 3. **Always reuse brand kit** — Read `.kolbo/brand-kits/<slug>.md` first; pass palette + fonts to every A+ module. | ||
| 4. **Recommend GPT Image 2 + 2K/4K for dense-text A+ modules** — Nano Banana renders text well but GPT Image 2 wins at multi-line technical layouts. | ||
| 5. **For bundles, always use `generate_creative_director`** — never fire 13 parallel `generate_image` calls. | ||
| 6. **Log everything to `.kolbo/production.md`** — marketplace listings get updated quarterly; reuse beats regenerate. |
| # Media Library | ||
| Load this file when the user wants to browse, list, organize, delete, restore, move, favorite, share, or otherwise manage their media library — or when you produce a media file locally and need to surface it back to the user. | ||
| The library covers both **uploaded files** and **AI-generated outputs the user has saved**. Tools fall into five groups: ingest, browse, lifecycle (delete/restore/move), folders, and favorites. | ||
| ## ⚠️ Present locally-produced media to the user | ||
| When you produce a media file LOCALLY — `ffmpeg` via the `video-production` skill, Remotion render, manual `Bash` mux of audio + video, `edit_image` outputs saved to disk, any save-to-file flow — make sure the user can actually find and open it. Local files are invisible in the chat / canvas UI by default; only the path string makes it through. | ||
| **Rules:** | ||
| 1. **Surface the file in chat as a clickable thing**, not just a path string. Write the line as a markdown link to a `file://` URL so the user can click to open it in their default app: | ||
| ``` | ||
| ✅ Final video ready: [zohar_hagai_campaign.mp4](file:///Users/mymac/Documents/test agent 1/zohar_hagai_campaign.mp4) (45s · 1440×1440 · with music) | ||
| ``` | ||
| The user clicks the link → the desktop app shell hands the path to the system → opens in QuickTime / VLC / Finder reveal, etc. | ||
| 2. **Always log the local path in `.kolbo/production.md`** under the artifact's entry — that's the durable record: | ||
| ```md | ||
| ## Final | ||
| - **Campaign video (45s)** | ||
| - local: /Users/mymac/Documents/test agent 1/zohar_hagai_campaign.mp4 | ||
| - resolution: 1440×1440 | ||
| - audio: Gilded Horizon (Track 1 & 2, 3:03) | ||
| - rendered: 2026-05-16 | ||
| ``` | ||
| 3. **Don't auto-upload to `upload_media`**. The user wants local-only files to stay local; they have the file on disk and can move/share it themselves. Upload only when the user explicitly asks ("upload this", "share publicly", "give me a CDN URL"). | ||
| 4. **Reveal-in-Finder affordance for macOS** when finishing a multi-step production: in addition to the `file://` link, mention the parent directory path so the user can `cd` or open the folder. Many users want to see all the intermediate files (frames, alt cuts, original audio) in one place. | ||
| 5. **Files served via `file://` won't render inline** in the chat as `<video>` / `<img>` — the desktop WebView blocks file:// for security. Don't try to embed; just link. | ||
| ## Routing — user says → call | ||
| | User says | Call | | ||
| |---|---| | ||
| | "Upload this file" / "host this" / "give me a public URL for this" | `upload_media` | | ||
| | "Show my media" / "list my images/videos" / "what do I have?" | `list_media` (pass `type` / `category` / `project_id` / `folder_id` / `search`) | | ||
| | "Show my favorites" / "list starred items" | `list_media` with `category=favorites` | | ||
| | "List everything in project X" | `list_media` with `project_id=X` | | ||
| | "List all videos in folder X" | `list_media` with `folder_id=X, type=video` | | ||
| | "What was the prompt for [item]?" / "tell me about this generation" | `get_media` | | ||
| | "How many videos do I have?" / "what's my storage usage?" | `get_media_stats` | | ||
| | "Favorite this" / "star this" / "save to favorites" | `favorite_media` | | ||
| | "Unfavorite" / "remove from favorites" / "unstar" | `unfavorite_media` | | ||
| | "Delete this" / "remove this image" | `delete_media` (soft, recoverable for 30 days) | | ||
| | "Restore it" / "undelete" / "bring it back from trash" | `restore_media` | | ||
| | "Permanently delete" / "wipe it forever" / "free up space" | **confirm with user** → `permanently_delete_media` | | ||
| | "Move this to project X" | `move_media` | | ||
| | "Clean up old [type]" / "delete everything from [time period]" | `list_media` (find ids) → **confirm** → `bulk_delete_media` | | ||
| | "Restore all from trash" | `list_media include_deleted=true` → `bulk_restore_media` | | ||
| | "Empty my trash" / "purge deleted items" | `list_media include_deleted=true` → **show count, confirm** → `bulk_permanently_delete_media` | | ||
| | "Move all these to project X" | `bulk_move_media` | | ||
| | "Move everything in folder X to project Y" | `move_folder_contents` | | ||
| | "Make a folder for X" / "create a 'campaigns' folder" | `create_media_folder` | | ||
| | "Rename folder" / "change folder color or icon" | `update_media_folder` | | ||
| | "Delete the [name] folder" | **confirm with user** → `delete_media_folder` (items stay in library) | | ||
| | "Add these to [folder]" / "put these in folder X" | `add_media_to_folder` | | ||
| | "Remove these from [folder]" | `remove_media_from_folder` | | ||
| | "Share [folder] with alice@…" | `share_media_folder` with `user_emails: [...]` | | ||
| | "Revoke [user]'s access to [folder]" | `unshare_media_folder` with `user_id` | | ||
| | "Show my folders" / "what folders do I have?" | `list_media_folders` | | ||
| ## Rules and gotchas | ||
| 1. **"Delete" is soft by default.** Use `delete_media` / `bulk_delete_media` for normal "delete" intent — items go to trash for 30 days and are recoverable. Only use `permanently_delete_media` / `bulk_permanently_delete_media` when the user explicitly asks for unrecoverable deletion ("permanently", "forever", "wipe", "free up space"). **Always confirm before either permanent variant.** | ||
| 2. **Confirm before destructive folder ops.** `delete_media_folder` detaches items (they stay in the library) but the folder itself is gone — no undo. Confirm with the user. | ||
| 3. **`bulk_move_media` is atomic.** If you get a "not all items owned by you" error, do NOT retry partially. Surface the error to the user and let them pick a smaller batch. | ||
| 4. **Prefer `list_media` filters over post-filtering.** Pass `project_id` / `folder_id` / `category` / `type` / `search` to the backend; don't fetch the whole library and filter client-side. | ||
| 5. **`is_favorited` is per-user.** On shared projects, an item can be favorited by you and not by your teammates — the value reflects the calling user only. | ||
| 6. **"Empty trash" flow:** `list_media` with `include_deleted=true` → show the count → confirm → `bulk_permanently_delete_media`. Never call the bulk-permanent endpoint without listing first so the user knows the scope. | ||
| 7. **Bulk caps:** 1000 ids for `bulk_delete_media` / `bulk_restore_media` / `bulk_permanently_delete_media` / `bulk_move_media`; 500 ids for `add_media_to_folder` / `remove_media_from_folder`. Split larger jobs into successive calls. | ||
| 8. **Folder share resolution:** `share_media_folder` takes emails; users not found come back in `not_found`. Report those to the user — don't assume the share succeeded silently. Members can list/add/remove items but cannot delete the folder or reshare it. | ||
| 9. **`get_media` accepts a generation_id as a fallback** for the `media_id` arg, so you can chase down items the user references by their original generation rather than by library id. |
| # Product Photoshoot — Brand Product Imagery | ||
| Load this file when the user wants **brand-quality product images** — studio shots, lifestyle scenes, Pinterest pins, hero banners, social carousels, ad packs, virtual try-ons, conceptual / CGI product shots, or seasonal restyles. | ||
| For ad **video** see `workflows/marketing-studio.md`. For composed brand ads (brand kit + ad format + avatar) see `workflows/dtc-ads.md`. For marketplace listings (Amazon main + secondary + A+ content) see `workflows/marketplace-cards.md`. | ||
| ## The 10 Modes | ||
| Pick by intent, not surface keyword. When two modes could apply, prefer the more specific one. | ||
| | Mode | When user wants… | | ||
| |---|---| | ||
| | `product_shot` | Product on neutral / studio / catalog background (Shopify, white-bg) | | ||
| | `lifestyle_scene` | Product in a real environment — hands, action, atmosphere (kitchen, gym, outdoor) | | ||
| | `closeup_product_with_person` | Tight crop with hands or partial face — beauty application, demonstrating, holding | | ||
| | `moodboard_pin` | Vertical 2:3 Pinterest-native pin, moodboard feel | | ||
| | `hero_banner` | Wide-format website / email / campaign header | | ||
| | `social_carousel` | 3–10 connected slides for IG / LinkedIn / Facebook | | ||
| | `ad_creative_pack` | Coordinated pack of static ad variants for Meta / TikTok / Pinterest / Google Ads | | ||
| | `virtual_model_tryout` | Product worn or used by an AI-rendered model (fashion, accessories) | | ||
| | `conceptual_product` | Surreal / CGI / levitating / splash / sculptural product | | ||
| | `restyle` | Transform an EXISTING image's aesthetic, mood, or seasonal context (without changing the subject) | | ||
| ### Picking the Mode | ||
| | User phrasing | Mode | | ||
| |---|---| | ||
| | neutral / clean / white / studio / catalog / Shopify | `product_shot` | | ||
| | scene / in use / kitchen / outdoor / cafe / gym | `lifestyle_scene` | | ||
| | hands holding / face with product / beauty application / demonstrating | `closeup_product_with_person` | | ||
| | Pinterest / pin / vertical pin | `moodboard_pin` | | ||
| | hero / banner / website header / landing page / email header / wide format | `hero_banner` | | ||
| | carousel / slide post / multi-slide / swipeable | `social_carousel` | | ||
| | ads / ad pack / paid social / Meta / TikTok / Pinterest ads / Google ads | `ad_creative_pack` | | ||
| | model wearing / virtual try-on / on body / fashion shoot / lookbook | `virtual_model_tryout` | | ||
| | levitating / floating / splash / frozen motion / surreal / CGI / sculptural | `conceptual_product` | | ||
| | modify EXISTING image's aesthetic / mood / season — without changing subject | `restyle` | | ||
| **Tie-breakers:** | ||
| - "Pinterest pin of my product on a kitchen counter" → `moodboard_pin` (Pinterest is the platform) | ||
| - "Hero banner showing my product in use" → `hero_banner` (banner format wins) | ||
| - "Carousel of my product in different scenes" → `social_carousel` (multi-slide wins) | ||
| - "Closeup of person applying my serum" → `closeup_product_with_person` (specific genre wins) | ||
| ## Mode → Kolbo MCP Routing | ||
| The mode determines which Kolbo MCP tool to call and what defaults to use. | ||
| | Mode | Primary tool | Model preference | aspect_ratio | Count default | | ||
| |---|---|---|---|---| | ||
| | `product_shot` | `generate_image` | GPT Image 2 (clean studio look + dense label text) | `1:1` | 1 or `num_images: 3` for variants | | ||
| | `lifestyle_scene` | `generate_image` | Nano Banana 2 (best lifestyle realism) | `1:1` or `4:5` | 1 or `num_images: 3` | | ||
| | `closeup_product_with_person` | `generate_image` | Nano Banana 2 | `1:1` or `4:5` | 1 | | ||
| | `moodboard_pin` | `generate_image` | Nano Banana 2 | **`2:3`** (Pinterest native) | 1 or `num_images: 3` | | ||
| | `hero_banner` | `generate_image` | GPT Image 2 (large format + brand text) | `16:9` or `3:1` | 1 | | ||
| | `social_carousel` | **`generate_creative_director`** with `scene_count: 3–10` | Nano Banana 2 | `1:1` (IG) or `4:5` | `scene_count` | | ||
| | `ad_creative_pack` | **`generate_creative_director`** with `scene_count: 4–8` | GPT Image 2 or Nano Banana 2 | Mixed per ad placement (`1:1`, `9:16`, `1.91:1`) — fire one director call per aspect | `scene_count` | | ||
| | `virtual_model_tryout` | `generate_image_edit` with character Visual DNA + product source | Nano Banana Pro (identity-sensitive edits) | `1:1`, `4:5`, or `9:16` | 1–3 | | ||
| | `conceptual_product` | `generate_image` | Nano Banana 2 or GPT Image 2 | `1:1` or `2:3` | 1–4 | | ||
| | `restyle` | `generate_image_edit` with `source_images: [existing]` | Same model that produced the original (or Nano Banana 2 for safe re-render) | Inherit from source | 1–3 | | ||
| **For multi-output modes** (`social_carousel`, `ad_creative_pack`), always use `generate_creative_director` — never fire ≥2 `generate_image` calls in a loop. See `models/creative-director.md`. | ||
| **Always validate** `aspect_ratio` and `resolution` against the chosen model's `supported_aspect_ratios` / `supported_resolutions` via `list_models` — see SKILL.md "Resolution / Aspect / Duration — validate against caps". | ||
| ## Pre-Generation Interview (CRITICAL) | ||
| Ask **at most 4 short questions** before submitting, always with **labeled options, never open-ended**. Skip a question whose answer is obvious from context (uploaded image, prior turn, brand memory in `.kolbo/brand-kits/`). | ||
| Pick the question stack based on user state: | ||
| ### Type A — Uploaded a product photo, said "make me images / photoshoots" | ||
| 1. **How many?** `[1 / 3 / 5]` | ||
| 2. **What style/mood?** `[Clean studio / Lifestyle / Conceptual / With a model / Other]` | ||
| 3. **Where will you use them?** `[Shopify / Instagram / Pinterest / Paid ads / Website hero]` | ||
| 4. **Brand colors to match?** (skip if a brand kit exists at `.kolbo/brand-kits/<slug>.md`) | ||
| ### Type B — Uploaded a product photo + named a use case | ||
| E.g. "make ads for my product", "make a Pinterest pin", "make a hero banner". Mode is obvious. Ask only the gaps: | ||
| 1. **How many?** (only if multi-output mode) | ||
| 2. **What's the offer / mood / hook?** | ||
| 3. **Anything in particular to emphasize?** | ||
| ### Type C — Text only, no product photo | ||
| 1. **Can you upload a product photo?** (preferred — much higher fidelity) | ||
| 2. **If not, describe the product** — category, packaging, color, distinctive features | ||
| 3. **What style?** `[Clean studio / Lifestyle / Conceptual / With a model / Other]` | ||
| 4. **Where will you use it?** `[Shopify / Instagram / Pinterest / Paid ads / Website hero]` | ||
| ### Type D — Uploaded existing image, "redo / change vibe / different version" | ||
| → Mode: `restyle` | ||
| 1. **What aesthetic?** `[Clean girl / Cottagecore / Quiet luxury / Dark academia / Y2K / Other]` | ||
| 2. **Seasonal context?** `[Christmas / Valentine's / Halloween / Black Friday / None]` | ||
| 3. **What to preserve, what to change?** (only if ambiguous) | ||
| ### Type E — Model wearing a product (fashion, accessories) | ||
| → Mode: `virtual_model_tryout` | ||
| 1. **Model archetype?** (suggest 2–3 based on brand audience — don't open-end) | ||
| 2. **Environment?** `[Studio clean / Outdoor natural / Street style / Editorial / Home cozy]` | ||
| 3. **Framing?** `[Full body / Three-quarter / Waist up / Closeup on product area]` | ||
| ### Type F — Vague request, unclear subject | ||
| E.g. "make me something cool for my brand". | ||
| 1. **What product or topic?** | ||
| 2. **Goal?** `[Sell on a marketplace / Build awareness / Run paid ads / Update website]` | ||
| 3. **Upload a reference image?** | ||
| After answers → return to the relevant Type A–E. | ||
| ## Brand Kit Integration | ||
| Before any generation, check if `.kolbo/brand-kits/<slug>.md` exists for the brand: | ||
| - **Exists** → Read it. Pull `primary_color`, `accent_color`, `fonts`, `logo_url`. Bake hex codes + named fonts into the prompt. Pass the logo as `reference_images[0]` if relevant. | ||
| - **Doesn't exist** but user gave a brand URL → Run `workflows/research-first.md` first to build one. | ||
| - **Doesn't exist** and user gave no URL → Proceed without; ask in Type A's question 4 if relevant. | ||
| ## Multi-Variant Strategy | ||
| For `count > 1` on a single-output mode (`product_shot`, `lifestyle_scene`, `closeup_product_with_person`, `moodboard_pin`, `hero_banner`, `conceptual_product`): | ||
| - Use `num_images: N` on `generate_image` — same prompt, different seeds, fast. | ||
| - Variations come from the model's randomness, not intentional direction. | ||
| For `social_carousel` / `ad_creative_pack` (multi-output by design): | ||
| - Use `generate_creative_director` with `scene_count: N`. | ||
| - Each scene gets its **own intentional prompt** (different angle / framing / mood / palette) — not paraphrased copies of one scene. | ||
| - Pass the same `visual_dna_ids` and `reference_images` across all scenes to lock product identity. | ||
| ## Output Discipline | ||
| - Call the chosen MCP tool — single command, no preamble. | ||
| - For multi-output: `generate_creative_director` returns N URLs; share them as individual lines (do NOT build an HTML grid artifact — the canvas already shows the gallery). | ||
| - For single-output: one image URL. | ||
| - Log every URL + model + resolution + mode into `.kolbo/production.md` under `### <Mode>` subsection. | ||
| ## UX Rules | ||
| 1. **Pick the mode by intent**, not surface keyword. The user saying "Pinterest" → `moodboard_pin` regardless of what's IN the image. | ||
| 2. **Ask at most 4 labeled-option questions** before generating. Skip any question whose answer is obvious. | ||
| 3. **Always confirm aspect ratio + resolution + count** before firing — they materially change output and cost. | ||
| 4. **Reuse brand kits** — Read `.kolbo/brand-kits/<slug>.md` before generating. | ||
| 5. **Strict NO uninvited additions** — "NO captions, NO subtitles, NO watermarks, NO extra text beyond what's specified" in every prompt. | ||
| 6. **No auto-retry on failure** — surface and let the user adjust. | ||
| ## Prompt Template Seeds | ||
| ### `product_shot` | ||
| ``` | ||
| Clean studio product photograph of @image1 (the product), | ||
| centered on a {neutral white | seamless gradient | catalog beige} background. | ||
| Soft front-fill + subtle rim light, no harsh shadows, no reflections. | ||
| Tack-sharp focus on the product, slight depth-of-field falloff on the background. | ||
| {Brand palette: primary #..., accent #...} | ||
| NO captions, NO watermarks, NO extra text. | ||
| ``` | ||
| ### `lifestyle_scene` | ||
| ``` | ||
| @image1 (the product) in a {real-world scene description}, | ||
| natural {time-of-day} light, {natural action involving the product}. | ||
| Photographic, editorial style, {iPhone | 35mm film | medium format} feel. | ||
| {Optional: include hands, partial face — never identifiable people}. | ||
| {Brand palette baked into props/clothing}. | ||
| NO captions, NO watermarks. | ||
| ``` | ||
| ### `moodboard_pin` | ||
| ``` | ||
| Vertical 2:3 Pinterest pin, moodboard aesthetic. | ||
| @image1 (the product) integrated into a {seasonal/aesthetic theme} flatlay or scene. | ||
| {Aesthetic anchor: cottagecore / quiet luxury / Y2K / clean girl / dark academia}. | ||
| Soft natural light, low-saturation editorial palette, | ||
| optional textural overlay (paper, linen, marble). | ||
| Centered hero composition, generous negative space at top for pin overlay. | ||
| NO captions, NO text. | ||
| ``` | ||
| ### `restyle` | ||
| ``` | ||
| @image1 — preserve {subject / composition / camera angle / framing} exactly. | ||
| Change ONLY the {aesthetic / season / mood} to {target aesthetic description}. | ||
| Keep product geometry, label legibility, and identifying details unchanged. | ||
| {Specific change list, e.g.: "swap warm tones for cool blue/silver, add subtle snowflake bokeh, | ||
| shift wood prop to ceramic, keep everything else identical"}. | ||
| ``` | ||
| (More seeds belong here as we learn from real Kolbo generations — append, don't replace.) |
| # Production Log — `.kolbo/production.md` | ||
| Load this file when starting a multi-step production, or before any continuation of prior media work ("edit", "redo", "the same character", `@name` references, "scene N"). | ||
| ## Why It Exists | ||
| Every URL, id, and brief produced by a Kolbo MCP tool MUST be recorded in `.kolbo/production.md` in the user's workspace. This file — not chat history — is your source of truth for prior artifacts: URLs scattered across `tool_result` blobs are unreliable to re-scan and disappear entirely on context compaction. | ||
| ## When to READ it | ||
| Read `.kolbo/production.md` **before** acting on any of these signals: | ||
| - "edit", "animate", "combine", "redo", "polish", "fix", "regenerate" | ||
| - "the same character / scene / image / video / sound", "that X", "scene N", "the rainy one", etc. | ||
| - `@name` references for Visual DNA | ||
| - Any continuation of prior media work ("now make scene 3") | ||
| If the file is missing and the user is referencing prior media, ask the user — do not guess from chat. | ||
| ## When to WRITE to it | ||
| **Immediately after every successful generation tool call**, before your next tool call or your final reply. The runtime will inject a reminder after generation tool results — treat that as a hard rule, not a suggestion. | ||
| Tools that REQUIRE logging: | ||
| - `generate_image`, `generate_image_edit`, `edit_image` | ||
| - `generate_video`, `generate_video_from_image`, `generate_video_from_video`, `edit_video` | ||
| - `generate_elements`, `generate_first_last_frame`, `generate_lipsync` | ||
| - `generate_music`, `generate_sound`, `generate_speech` | ||
| - `generate_3d`, `generate_creative_director` | ||
| - `create_visual_dna`, `upload_media` | ||
| Tools that do NOT log: `list_*`, `get_*`, `check_credits`, `chat_*`, `transcribe_audio` (read-only / discovery). | ||
| ## File creation — pick the right tool to avoid the "must Read first" error | ||
| `Edit` refuses to overwrite a file unless you've `Read` it first in the same session. Pick by file state: | ||
| | State | Tool | | ||
| |---|---| | ||
| | File **does not exist** (typical first turn) | `Write` with the full stub below | | ||
| | File **exists** | `Read` first, then `Edit` | | ||
| | Not sure | `Read` first; on ENOENT, fall back to `Write` | | ||
| Stub for first creation: | ||
| ```md | ||
| <!-- .kolbo/production.md — agent-managed media artifact registry. | ||
| User may hand-edit; agent must Read-before-Edit to reconcile. --> | ||
| # Production Log | ||
| ## 🎯 Now | ||
| **Brief:** <paraphrase of user's overall goal in 1-3 sentences> | ||
| **Now working on:** <the immediate next step> | ||
| **Last updated:** <ISO date> | ||
| --- | ||
| ## Production: <name from user's request, slugified human label> | ||
| ### Cast | ||
| ### Visual DNA | ||
| ### Scenes | ||
| ### Audio | ||
| ### Final | ||
| ``` | ||
| Subsections (`### Cast` etc.) are **suggested defaults**, not required. Adapt: a logo set has `### Logos`, an album has `### Tracks`, a 3D render has `### Models`. Leave empty subsections out of the file when you create entries. | ||
| ## Entry shape | ||
| One bullet per artifact. Write the label **the way the user would reference it next time** ("the rainy one"), not the model's raw output. | ||
| ```md | ||
| ### Cast | ||
| - **Maya** — female, 30, urban photographer, leather jacket | ||
| - portrait: https://...characters/maya.png (nano-banana-2, 2026-05-13) | ||
| - visual DNA: vdna_8f2c (@maya) | ||
| ### Scenes | ||
| 1. **Coffee shop morning** — Maya at counter, soft light, wide shot | ||
| - still: https://...scenes/01-coffee.png (flux-2-pro, 2026-05-13) | ||
| - video: (pending) | ||
| 2. **Rainy street walk** — neon reflections, slow dolly | ||
| - still: https://...scenes/02-rain.png (flux-2-pro, 2026-05-13) | ||
| - video: https://...videos/02-rain.mp4 (kling-2, 2026-05-13) | ||
| ``` | ||
| ## Header rewrite rule (Manus pattern — IMPORTANT) | ||
| The `## 🎯 Now` block at the top of the file is **rewritten every turn** to keep the brief + current step near the model's recency window. Body sections (everything below the first `---`) are **append-only**. | ||
| When a user request supersedes a previous artifact (e.g., "redo scene 2 with more rain"), do not delete the old entry. Mark it `(superseded YYYY-MM-DD)` and place the new entry beneath: | ||
| ```md | ||
| 2. **Rainy street walk** — neon reflections, slow dolly | ||
| - still: https://...scenes/02-rain.png (superseded 2026-05-13) | ||
| - still: https://...scenes/02-rain-v2.png (flux-2-pro, 2026-05-13) | ||
| - video: https://...videos/02-rain-v2.mp4 (kling-2, 2026-05-13) | ||
| ``` | ||
| ## Rules | ||
| 1. **First touch `Write`, subsequent touches `Read` → `Edit`** (see "File creation" above). If `Edit` fails on exact-match, `Read` again — the user may have hand-edited. | ||
| 2. **Plain English labels** — write what the user would call it. | ||
| 3. **Append-only body.** Only the `## 🎯 Now` header is rewritten. Never delete artifact entries; mark them `(superseded)` instead. | ||
| 4. **Do not log failures.** Only successful generations. | ||
| 5. **Resolve user references via the log, not chat history.** If the user says "scene 3," use the URL the log says is scene 3, even if a later tool_result mentioned a different URL. | ||
| 6. **One file per workspace.** Multiple concurrent productions go under separate `## Production: <name>` headings inside the same file. | ||
| ## Bulk Generation Entry Shape | ||
| For batch runs (50-item UGC sets, etc.), persist every `generation_id` (even for failures) — required for `get_generation_status` recovery and cross-session dedupe. | ||
| ```md | ||
| 12. ✅ Asian F 24, bedroom, hype POV | ||
| - generation_id: gen_8a2c… | ||
| - url: https://… | ||
| - model: seedance-2 · 720p · 10s · sound-on | ||
| - generated: 2026-05-14T07:42Z | ||
| 13. ❌ Latino M 31, gym | ||
| - generation_id: gen_ff19… | ||
| - error: 429 Too many generation requests | ||
| - retry_after: 2026-05-14T07:43Z | ||
| ``` | ||
| ## Always log the resolution / duration / sound choices | ||
| Production-log entries should include the resolution and (for video) duration + sound state alongside the URL, so the user can see what they paid for: | ||
| ```md | ||
| - still: https://...01-coffee.png (flux-2-pro · 1K, 2026-05-14) | ||
| - video: https://...02-rain.mp4 (kling-2 · 1080p · 5s · sound-off, 2026-05-14) | ||
| ``` | ||
| ## Production Log vs TodoWrite | ||
| Use both — different jobs: | ||
| | | `.kolbo/production.md` | `TodoWrite` | | ||
| |---|---|---| | ||
| | Purpose | Durable artifact registry | Ephemeral step plan | | ||
| | Lifetime | Persists across sessions / compaction | Per turn / per request | | ||
| | Content | URLs, ids, briefs | "Do X, then Y, then Z" | | ||
| | Example | `still: https://...01-coffee.png` | `Generate visual DNA for Maya` | | ||
| ## Real Cost Quoting | ||
| Every generation now returns `credits_used` (multiplier-adjusted total) and `credits_breakdown` (per-model attribution). **Log `credits_used` to `.kolbo/production.md`, not `base × count`.** | ||
| ```json | ||
| { "credits_used": 12, "credits_breakdown": [{ "model": "nano-banana-2", "base": 8, "final": 12, ... }], "urls": [...] } | ||
| ``` | ||
| When the user asks "how much did I spend?" → call `get_session_usage` for the real, multiplier-adjusted session total + per-tool + per-model breakdowns (same numbers as the desktop bottom-bar counter). |
| # Research-First Creative — Scrape Before Generating | ||
| Load this file when the brief involves a real brand, product URL, audience, or market — especially for ads, marketing creative, or anything tied to identity / brand palette / on-image text. | ||
| ## Why | ||
| When the user gives you a **product URL, brand reference, or "make X for Y audience" brief**, don't jump straight to prompts. Spend one turn researching first — the cost of a single research turn is far less than 10 mis-aimed generations. | ||
| ## When to do research-first | ||
| - Any URL appears in the brief (product page, landing page, brand site) | ||
| - The brief names a brand, product, or company you don't already have context on | ||
| - The brief targets a specific audience / language / market with conventions you should respect (Hebrew/Israeli, Japanese, Gen-Z TikTok, B2B SaaS, luxury, etc.) | ||
| - The brief explicitly says "research" / "תחקור" / "look up" / "find examples" / "check best practices" | ||
| ## How to research (parallel calls in one response) | ||
| Fire these IN PARALLEL — they're independent reads: | ||
| 1. **`WebSearch`** for prompt-engineering patterns specific to the chosen model. **The model name in the search query MUST be the literal model the user named** — never substitute a generic / default / "popular" model. If the user said "nano banana 2", search for `"nano banana 2" prompt …`, NOT `"flux" prompt …` or `"midjourney" prompt …`. The same HARD RULE that applies to *calling* the named model applies to *researching* it. Examples (replace `<model>` with the user's exact wording): | ||
| - `"<model>" prompt engineering ad image text rendering` | ||
| - `"<model>" hex color font specification advertising prompt` | ||
| - `"<model>" hebrew text RTL rendering` (or any user-named language) | ||
| 2. **`WebSearch`** for the audience / market design conventions: | ||
| - `<audience> advertising design trends <year>` | ||
| - `<language> typography <use case> RTL/LTR best practices` | ||
| 3. **`WebFetch`** the product URL with a precise extraction prompt (see below). | ||
| 4. (Optional) `WebSearch` for competitor / reference visuals to set bar. | ||
| ## Extracting the product page (WebFetch prompt template) | ||
| Don't ask WebFetch a vague "what is this page" — ask for structured extraction: | ||
| ``` | ||
| Extract from this page, in compact bullets: | ||
| 1. Product name + one-line value proposition. | ||
| 2. 3–5 concrete capabilities/benefits (user-facing language). | ||
| 3. All product hero / screenshot image URLs visible in the page. | ||
| 4. Brand color hex codes — pull from inline `style=`, `<style>` tags, or | ||
| linked CSS, ignoring generic UI defaults (#fff/#000). Identify which | ||
| color plays which role (primary CTA, headline text, background, accent). | ||
| 5. Brand voice signals (tone, target user, formality). | ||
| 6. Any explicit fonts named in CSS or visible. | ||
| ``` | ||
| ## Re-host every external image via `upload_media` | ||
| The bulk-API rule applies: external URLs in `reference_images` / `source_images` / `image_url` cause **400 Bad Request**. Pipeline: | ||
| 1. `Bash: curl -fsSL "<external-url>" -o /tmp/<name>.<ext>` (or use WebFetch where it returns the binary) | ||
| 2. `mcp__kolbo__upload_media` with the local file → returns Kolbo CDN URL | ||
| 3. Use the returned CDN URL in any subsequent generation call | ||
| 4. Log both URLs in the production log (so the user can trace provenance) | ||
| ## Synthesizing the research | ||
| In the production log create: | ||
| ```md | ||
| ### Research notes | ||
| - Prompt patterns for <model>: … | ||
| - Audience conventions: … | ||
| ### Product brief | ||
| - Name: … | ||
| - Value prop: … | ||
| - Capabilities: …, …, … | ||
| ### Brand palette | ||
| - primary: #... | ||
| - accent: #... | ||
| - text: #... | ||
| - bg: #... | ||
| ### Re-hosted assets | ||
| - hero_1: <kolbo CDN url> (from <original url>) | ||
| ``` | ||
| ## Persist as a Reusable Brand Kit | ||
| After research, **persist the brand-identity bits into a reusable file** at `.kolbo/brand-kits/<slug>.md` so future generations in any session can read it instead of re-scraping. This is the durable, cross-session record (the production log is per-production; brand kits are per-brand). | ||
| **Slug rule:** lowercase, single token, derived from the domain (`drinkolipop` from `drinkolipop.com`, `acme_skincare` from `acme-skincare.io`). Strip TLD and hyphens. | ||
| **Brand kit file schema** (use `Write` for first creation; `Read → Edit` for updates): | ||
| ```md | ||
| <!-- .kolbo/brand-kits/<slug>.md — agent-managed brand identity registry. | ||
| Reusable across all generations for this brand. Read first before scraping. --> | ||
| # Brand Kit: <Brand Name> | ||
| url: https://... | ||
| fetched: 2026-05-23 | ||
| last_refreshed: 2026-05-23 | ||
| ## Identity | ||
| brand_name: ... | ||
| tagline: ... | ||
| business_overview: <1-2 sentences> | ||
| industry: <fashion | beauty | food | beverage | electronics | saas | ...> | ||
| ## Visuals | ||
| logo_url: <kolbo CDN url, re-hosted via upload_media> | ||
| primary_color: #... | ||
| accent_color: #... | ||
| text_color: #... | ||
| bg_color: #... | ||
| fonts: | ||
| headline: <font name> | ||
| body: <font name> | ||
| mono: <font name, optional> | ||
| ## Voice & Audience | ||
| tone: <playful | refined | technical | bold | warm | ...> | ||
| target_user: <one-line persona> | ||
| formality: <casual | professional | luxury> | ||
| ## Hero Assets (re-hosted via upload_media) | ||
| - hero_1: <kolbo CDN url> (from <original url>) | ||
| - hero_2: <kolbo CDN url> (from <original url>) | ||
| - product_1: <kolbo CDN url> (from <original url>) | ||
| ## Notes | ||
| - Any brand-specific gotchas, design rules, do-not-show items | ||
| ``` | ||
| ### When to READ a brand kit | ||
| Before any generation tied to a known brand — **always** Read first: | ||
| - User mentions a brand by name ("make a Pinterest pin for OliPop") | ||
| - User pastes a brand URL again ("make ads for drinkolipop.com") | ||
| - User says "use the same brand as last time" / "match our brand" | ||
| - Any DTC ad / product photoshoot / marketplace card request where the brand is implicit | ||
| If `.kolbo/brand-kits/<slug>.md` exists, **skip the research-first workflow entirely** for the brand-extraction parts (palette, logo, fonts, voice). Still do `WebSearch` for fresh prompt-engineering patterns or audience trends if needed. | ||
| If it doesn't exist and there's a URL, run the full research workflow above and **end by persisting the brand kit**. | ||
| ### When to UPDATE a brand kit | ||
| - User explicitly says "the brand updated their colors / logo / fonts" | ||
| - Brand kit is >90 days old AND the user is starting a major campaign (refresh recommended, not mandatory) | ||
| - Generation results look "off-brand" and palette is suspect — refresh to verify | ||
| Update by `Read → Edit`. Bump `last_refreshed`. Keep older asset URLs in place (they still work) and append new ones. | ||
| ### Brand-kit reuse downstream | ||
| The other workflow files consume the brand kit: | ||
| - `workflows/dtc-ads.md` — pulls palette + fonts + logo into every ad prompt | ||
| - `workflows/product-photoshoot.md` — bakes hex codes into prompts; uses logo as `reference_images[0]` | ||
| - `workflows/marketplace-cards.md` — palette + fonts critical for A+ module consistency | ||
| - `workflows/marketing-studio.md` — voice/tone shapes UGC presenter dialogue; palette shapes any branded overlays | ||
| Always cite the brand-kit slug in the production log so reviewers can trace which kit drove a given generation. | ||
| ## Building prompts informed by the research | ||
| When generating ad / marketing creative based on this research: | ||
| - **Exact hex codes for every color** — `#FF4D2E` not "orange". Match brand palette. | ||
| - **On-image text in literal double quotes** — `"שלום עולם"` not `Hebrew greeting`. Specify language and direction (RTL/LTR) when non-English. | ||
| - **Per text element**: position, font weight, point size, color hex, alignment. | ||
| - **Forbid uninvited additions** — explicitly tell the model: NO captions, NO subtitles, NO watermarks, NO extra text beyond what's specified. Same rule as UGC defaults. | ||
| - **Use research findings to shape composition** — e.g. if research said "Israeli social ads favor bold contrast and minimal copy", reflect that. | ||
| - Always **approve the concept + sample prompts with the user** before firing the full batch when the batch is ≥4 ads or the user said "approve first". | ||
| ## Skipping research is OK when… | ||
| - User gave no URL, no brand, no audience-specific signal — pure creative ("make a sunset") | ||
| - User said "skip research" / "just generate" / "I have the prompt ready" | ||
| - The brief is for a single quick draft |
| # Transcription & Video/Audio Analysis | ||
| Load this file when the user wants to transcribe audio/video, get SRT subtitles, or analyze video/audio content. For image analysis, use native vision (no tool needed) — see "Image analysis" at bottom. | ||
| ## Decision Tree | ||
| You have three routes. The right one depends on the file profile — pick before calling any tool. | ||
| ``` | ||
| Image (jpg/png/webp)? → Read directly (native vision, up to 10 per pass) | ||
| File >100MB OR >15 min OR dialogue-dense? → HYBRID (transcribe + ffmpeg frames + Read + your synthesis) | ||
| User wants the transcript/SRT as deliverable? → transcribe_audio, return the URLs | ||
| Precise answer about one specific frame? → ffmpeg that frame → Read | ||
| Otherwise (short/medium video, mixed content) → upload_media → chat_send_message (Gemini native) | ||
| ``` | ||
| ## Why `upload_media` → chat is **not** always the default | ||
| Gemini-via-chat processes frames + motion + audio in one pass and is the simplest route when it works. But it has three known failure surfaces — recognize them and pivot to the hybrid path: | ||
| 1. **>100MB upload cap.** Hard limit; the upload won't succeed. No option but to split with ffmpeg or go hybrid. | ||
| 2. **Long-form decay** (rough threshold: 15–20 min). Even when it fits, attention degrades — shallow or hallucinated answers on the back half of the file. | ||
| 3. **Transcription-dense laziness.** Lectures, interviews, podcasts, anything where speech is the substance: chat models summarize aggressively, paraphrase quotes wrong, or silently skip stretches. Always transcribe these first to get the actual words, then add visuals only if they matter. | ||
| ## The hybrid path (workaround for all three failures) | ||
| ``` | ||
| 1. transcribe_audio({ source }) → text, srt_url, word_by_word_srt_url, duration | ||
| 2. Read the transcript text from the tool output directly | ||
| 3. Pick 3–8 timestamps from the SRT where visuals actually matter | ||
| 4. ffmpeg -ss <ts> -i <file> -frames:v 1 <frame.jpg> (one extract per timestamp) | ||
| 5. Read each frame with native vision (up to ~10 frames per analysis pass) | ||
| 6. Synthesize from transcript + frames + the user's question | ||
| ``` | ||
| This is usually **cheaper** than chat for long files — transcription is per-minute, ffmpeg + Read are free — and produces stronger answers on dialogue-heavy material because you have the complete text, not a model's summary of it. | ||
| For media >30 min (past the transcription cap), split with ffmpeg into ~25-min chunks, transcribe each, concatenate. | ||
| ## Transcribe-as-deliverable vs transcribe-as-input | ||
| | Request pattern | Action | | ||
| |---|---| | ||
| | "Transcribe this" / "give me an SRT" / "I need word-by-word timing" / "make subtitles" | Run `transcribe_audio`, return the URL(s). The transcript IS the deliverable. | | ||
| | "What did they say about X?" / "Summarize this meeting" / "Find the part where they mention Y" | Run `transcribe_audio` to *get* the text → **you** read/summarize/search. Transcript is a means, not the answer. | | ||
| ## `transcribe_audio` — tool details | ||
| - `source`: URL or absolute local path. | ||
| - **Audio**: mp3, wav, m4a, flac, aac. **Video** (audio track extracted): mp4, mov, webm, mkv, avi, m4v. | ||
| - **30-minute hard cap.** Longer → split with ffmpeg first. | ||
| - Returns: | ||
| - `text` — full transcript, plain. | ||
| - `srt_url` — grouped SRT (~12 words per line, up to 2 lines per subtitle). Use this for normal subtitle delivery. | ||
| - `word_by_word_srt_url` — one word per cue with millisecond-precise start/end (ElevenLabs Scribe v2). Use **only** when downstream is animation (Remotion captions, after-effects karaoke, precise speech-aligned cuts). Noise for normal subtitle workflows. | ||
| - `txt_url` — plain text file. | ||
| - `duration` — seconds. | ||
| - Cost: per-minute (`model.credit × duration_minutes`). Run `check_credits` before transcribing very long files. | ||
| - Read-only / discovery — does NOT trigger the `.kolbo/production.md` log nudge. If the user wants the transcript saved as a durable artifact, `Write` it to a workspace file, not the production log. | ||
| ## `upload_media` → `chat_send_message` — tool details | ||
| - `upload_media({ source: "/absolute/local/path/file.mp4" })` → returns `{ url, thumbnail_url, ... }`. **Use `url`** (the CDN URL); ignore `thumbnail_url` (preview JPG only). | ||
| - `chat_send_message({ message, media_urls: [url] })`: | ||
| - `media_urls` is **mandatory** — the model only sees the file if you pass the CDN URL here. Always an array. | ||
| - **Omit `model`** — Smart Select auto-routes to Gemini when media is detected. | ||
| - Sessions do NOT remember media between messages. On retry: reuse the same CDN URL (no re-upload), but always pass `media_urls` again. | ||
| - Batch / many short videos cost-sensitively: `list_models` for the cheapest Gemini, pass it explicitly. | ||
| ## Image analysis — never via chat | ||
| You have native vision. **Always `Read` images directly** (you handle up to 10 per pass). Do not `upload_media` + chat for images unless the user explicitly names a specific Kolbo chat model. Don't extract frames from images either — they're already viewable. | ||
| **NEVER ask the user which path to use — diagnose from the file profile and pick.** | ||
| ## ⚠️ Batching Media in Chat Messages (CRITICAL) | ||
| **Send ALL media in ONE `chat_send_message` call.** `media_urls` accepts up to **10 URLs**. Each separate chat call counts toward rate limits — splitting trips "Too many generation requests." | ||
| ``` | ||
| # Step 1: parallel uploads (one response) | ||
| upload_media({ source: "video1.mp4" }) → url1 | ||
| ... (up to 10) | ||
| # Step 2: ONE chat call with all URLs | ||
| chat_send_message({ message: "Analyze all 5 videos...", media_urls: [url1, url2, ...] }) | ||
| ``` | ||
| On 429: wait 60s, retry the same chat call — reuse the CDN URLs, do not re-upload. | ||
| **Never:** pass a local path in `media_urls` (CDN URLs only); use a transcription `.txt` URL as a video URL; construct a CDN URL yourself; split media across multiple chat calls. | ||
| ## Analyzing the source before a chained generation — when it's worth it | ||
| Before feeding a media asset into another generation tool (`generate_image_edit`, `edit_image`, `generate_video_from_image`, `generate_first_last_frame`, `generate_video_from_video`, `edit_video`, `generate_elements`, `generate_lipsync`), think about whether you actually *know* what's in the source. If you don't, analyze it first so the next prompt can reference concrete details instead of generic adjectives. | ||
| **Analyze first when:** | ||
| - The source is **old** — more than a few turns back, or pulled via `list_media` / `get_media` from earlier in the project. Context has drifted; you likely don't remember the specifics. | ||
| - The source was **user-provided without a description** — they pasted a URL or uploaded a file but didn't say what it shows. | ||
| - The previous prompt was **vague** ("make something pretty", "a cool shot") — the output details matter and you don't know them. | ||
| - The chain step needs to **preserve specific details** the original prompt didn't pin down (exact pose, color of a prop, lighting direction, audio room tone, etc.). | ||
| - Source is a **video or audio** going into elements / video-from-video / lipsync — motion direction, pacing, voice characteristics, and ambient bed drive the next prompt and can't be guessed from a URL. | ||
| **Skip analysis when:** | ||
| - You **just generated** the asset in the same conversation with a precise prompt — that prompt *is* the spec. Re-analyzing wastes credits. | ||
| - The edit is **mechanical** — "remove background", "brighten 10%", "loop to 5 seconds", "crop to 1:1". The source content doesn't matter. | ||
| - The user already **described what's in it** in this turn. | ||
| Default to skipping unless one of the "analyze first" cases applies — an analysis-per-step habit on long chains burns credits and latency without adding signal. | ||
| **How to analyze (pick by media type):** | ||
| | Source media | How | | ||
| |---|---| | ||
| | Image (URL or local) | Your native vision — view it directly. No `chat_send_message` round-trip needed. | | ||
| | Video / Audio | `chat_send_message({ message: "Describe...", media_urls: [url] })`. Batch up to 10 URLs in **one** call (see batching rule above). Omit `model` so Smart Select routes to Gemini vision. | | ||
| **What the analysis should extract** (use whatever is relevant for the next step's prompt): | ||
| - **Subject** — pose, expression, framing (head-and-shoulders / full body / wide). | ||
| - **Wardrobe & props** — exact colors, materials, distinguishing items. | ||
| - **Scene & environment** — location, time of day, weather, background depth. | ||
| - **Lighting & color palette** — dominant temperature, key/fill direction, contrast, color grade. | ||
| - **Camera** — angle, focal length feel (wide / portrait), depth-of-field. | ||
| - **Motion** (videos only) — direction, speed, camera move (push-in, pan, locked), what changes between first and last frame. | ||
| - **Audio** (videos/audio only) — voice characteristics, ambient bed, speech pace, music tempo/mood. | ||
| - **Anything that already looks wrong** — artifacts, blurred faces, wrong fingers, blown highlights, audio glitches — note these so the next prompt either fixes them (edit) or doesn't preserve them (elements/video). | ||
| **Then write the next prompt with concrete references**, not generic adjectives. Example for an image-to-video chain: | ||
| Bad — generic, no analysis: | ||
| ``` | ||
| prompt: "Animate this image with a slow push-in" | ||
| image_url: <generated still> | ||
| ``` | ||
| Good — analyzed first, prompt names the specifics: | ||
| ``` | ||
| prompt: "Slow 4-second dolly-in toward @maya's face from the medium shot; | ||
| the warm golden-hour rim light on her left shoulder stays | ||
| consistent; the wind moves the leaves behind her gently to the | ||
| right. Camera locked, no shake. Subject does not turn — she keeps | ||
| the half-smile and direct eye contact from the still." | ||
| image_url: <generated still> | ||
| visual_dna_ids: ["vdna_8f2c"] // maya | ||
| ``` | ||
| The point is **not** to dump an essay into the prompt — it's to make sure every concrete detail the next model needs to preserve (or change) is named, so the chain doesn't lose continuity across steps. | ||
| **Production-log tie-in:** when you analyze a generated still/clip, write a one-line description into `.kolbo/production.md` next to the URL — that way the next chained step can read the log instead of re-analyzing. | ||
| ## Image Analysis Detail (when the user uploads images) | ||
| When the user shares an image and asks about it: | ||
| - **Analyze thoroughly**: describe composition, subjects, colors, lighting, style, text/signage, setting, mood, visible objects, and any embedded information (charts, diagrams, screenshots). | ||
| - **Reference specific regions** when helpful: "top-left corner", "in the foreground", "the figure on the right". | ||
| - **Extract text verbatim** when asked (OCR-style requests are fine). | ||
| - **Cannot identify real people.** Describe hair, clothing, pose, expression, and apparent role — but never name a specific individual, even a well-known public figure. If the user insists, decline and offer to describe instead. | ||
| - **Copyrighted content**: summarize and reference, don't reproduce verbatim large chunks. | ||
| - If the user wants an **edit** based on the analysis, hand off to `generate_image_edit` (visual edit) or `generate_video_from_image` (motion). |
| # Troubleshooting | ||
| Load this file when the user hits an auth error, MCP tools aren't responding, or they're being rate-limited. | ||
| ## "API key is invalid or expired" | ||
| This usually means the CLI is sending a key to the wrong API endpoint. | ||
| **Common cause — whitelabel overlap:** if the user previously used regular `kolbo` and then switched to a whitelabel/partner CLI (e.g. `sapir`), the old API key may still be cached against the main Kolbo API. Running `kolbo` instead of the branded command (`sapir`) overwrites the MCP config with the wrong endpoint. | ||
| **Fix:** tell the user to re-authenticate with their branded CLI command: | ||
| ``` | ||
| sapir auth login | ||
| ``` | ||
| (Replace `sapir` with their actual CLI command.) | ||
| Then **restart the editor/session** so the MCP picks up the new key and endpoint. | ||
| **Important:** whitelabel users must always use their branded CLI command (e.g. `sapir`), not `kolbo`, to keep the MCP pointed at the correct API. | ||
| ## MCP tools not responding or not found | ||
| If Kolbo tools timeout or aren't listed, the MCP server may not be wired. Tell the user to run: | ||
| ``` | ||
| <their-cli-command> auth login | ||
| ``` | ||
| This re-wires the MCP configuration automatically. Then restart the session. | ||
| ## "Rate limited" (429 errors) | ||
| Wait 60s for the window to reset, retry only the failed calls. For batch image work prefer `generate_creative_director` over multiple `generate_image` calls. Full rate-limit details + retry sequence: see SKILL.md "Rate Limiting & Batch Generation". | ||
| ## Failure envelope from `get_generation_status` | ||
| When a generation fails, `get_generation_status` returns a structured `failure` field alongside `error`: | ||
| ```json | ||
| { | ||
| "state": "failed", | ||
| "error": "The input or output was flagged as sensitive…", | ||
| "failure": { | ||
| "message": "The input or output was flagged as sensitive…", | ||
| "category": "content_policy", | ||
| "code": "CONTENT_FLAGGED_SENSITIVE", | ||
| "retryable": false, | ||
| "severity": "error", | ||
| "provider": "kie-nano-banana" | ||
| } | ||
| } | ||
| ``` | ||
| Branch on `failure.category` / `failure.retryable`: | ||
| - `category === "content_policy"` (or `code === "CONTENT_FLAGGED_SENSITIVE"`) → **do not retry the same prompt**. Tell the user the model refused, suggest a less explicit phrasing or a Visual DNA fallback. Log to `.kolbo/production.md` Failures section with the exact reason. | ||
| - `category === "auth"` or `code === "[KOLBO_AUTH_EXPIRED]"` → surface the reconnect flow, don't auto-retry. | ||
| - `retryable === true` (transient: network, rate limit, provider 5xx) → retry once with the same payload after a short pause. If it fails again, surface to user. | ||
| - `retryable === false` and unknown category → surface the raw `message` to the user, don't retry. | ||
| ## Kolbo Code Documentation | ||
| Full public documentation for Kolbo Code (the CLI you are running inside) lives at **[docs.kolbo.ai/docs/kolbo-code](https://docs.kolbo.ai/docs/kolbo-code)**. If the user asks about installation, authentication, voice input, supported languages, commands, or how to uninstall, point them to the matching page below rather than guessing: | ||
| | Topic | Path | | ||
| |-------|------| | ||
| | Overview & quick links | `/docs/kolbo-code` | | ||
| | Installation (npm / bun / brew / scoop / choco) | `/docs/kolbo-code/installation` | | ||
| | Sign in with Kolbo (device-code OAuth) | `/docs/kolbo-code/authentication` | | ||
| | Push-to-talk voice input (hold `space`) | `/docs/kolbo-code/voice-input` | | ||
| | 12 supported UI languages + RTL | `/docs/kolbo-code/languages` | | ||
| | Full CLI command reference | `/docs/kolbo-code/commands` | | ||
| | Uninstall + cleanup | `/docs/kolbo-code/uninstall` | | ||
| The MDX sources are in the `kolbo-docs` repo under `content/docs/kolbo-code/`. When the user's question has a concrete answer in one of those pages, cite the path and summarize — do not invent new instructions. |
| # Visual DNA — Character / Style Consistency | ||
| Load this file when the user wants character or style consistency across multiple images/videos, OR when any generation call passes `visual_dna_ids`, OR when the user references a stored DNA by name. | ||
| ## What Visual DNA Is | ||
| Visual DNA profiles capture the visual "identity" of a character, style, product, or scene from reference media. Pass `visual_dna_ids` to any compatible generation tool — the server expands the DNA's reference images and auto-routes to the model's edit variant when appropriate. | ||
| ## Workflow | ||
| 1. **Create** a profile with `create_visual_dna` — provide reference images (max 4 — if the user gives more, pick the 4 most representative or ask which to keep; never pass 5+), optionally video and audio. | ||
| 2. **Types**: `character` (default), `style`, `product`, `scene`, `environment`. | ||
| 3. **Use** the profile by passing its `id` in `visual_dna_ids` in: `generate_image`, `generate_creative_director`, `generate_elements`, `generate_video_from_image`, `generate_video_from_video`, `generate_first_last_frame`. | ||
| 4. **List/inspect** profiles with `list_visual_dnas` / `get_visual_dna`. | ||
| **Server-side auto-routing:** passing `visual_dna_ids` is enough — the server expands the DNA's reference images and auto-routes the selected text-to-image model to its image-editing variant (e.g. `nano-banana-2` → `nano-banana-2-image-editing`). You do NOT need to also pass `reference_images` when using DNA. If the chosen model has no edit variant at all, the server falls back to using the DNA's images as style references on the t2i model. DNA payloads are never silently dropped. | ||
| ## ⚠️ Pre-flight: Verify the Visual DNA Exists Before Using It (MANDATORY) | ||
| NEVER reference a Visual DNA by name, role, or assumed identity without first confirming it exists in the user's library. This is a frequent failure mode: the user mentions a character ("אסתר", "Maya", "the model from before"), the agent assumes a matching Visual DNA exists, calls `generate_image` / `generate_elements` with a guessed or fabricated `visual_dna_ids` value, and the generation fails or produces the wrong identity. | ||
| **Before** any generation call that uses `visual_dna_ids`: | ||
| 1. Call `list_visual_dnas` to get the actual available DNAs (id + name). | ||
| 2. Match the user's reference (by name, type, or your `.kolbo/production.md` log) to a real DNA in that list. | ||
| 3. If there is **no match**, STOP and ask the user one of: | ||
| - "I don't see a Visual DNA named <X> in your library. Do you want me to create one now (I'll need reference image(s)), use an existing DNA (<list>), or proceed without DNA using direct reference images?" | ||
| 4. Only proceed once you have a real `vdna_*` id confirmed by either the list or a fresh `create_visual_dna` call you just made. | ||
| Do NOT: | ||
| - Invent a Visual DNA id or assume one exists from context. | ||
| - Use the same DNA id for a different character because "it sounded close." | ||
| - Carry a DNA id from `.kolbo/production.md` into a new generation without re-confirming it still exists (`list_visual_dnas` is cheap — call it). | ||
| When the user says "use the model אסתר" but you've only created a DNA for "זוהר", you MUST ask before generating — never silently substitute or guess. | ||
| ## ⚠️ Don't re-fetch / re-list your own outputs (CRITICAL) | ||
| After a generation tool returns its URLs, those URLs are **already** in the canvas (the desktop app's gallery panel) and in `.kolbo/production.md`. Do **NOT** call `list_media`, `get_media`, `get_media_stats`, `list_visual_dnas`, or `chat_send_message` with `media_urls` on those URLs just to "verify" or "fetch thumbnails of the results": | ||
| - It burns credits and time for zero new information. | ||
| - Every such tool call streams partial output into the session, which forces the desktop canvas to re-evaluate (visible flicker on the gallery tiles). | ||
| - The thumbnails returned by `list_media` / `get_media` are the SAME asset you just generated. | ||
| **Only call list/get media tools when:** | ||
| - The user explicitly asks ("what do I have in my library?", "show me my old DNAs"). | ||
| - You need details about something generated in an **earlier session** that you don't have a record of. | ||
| - You're chasing a specific user reference like "the rainy clip from yesterday" that isn't in the current chat's `.kolbo/production.md`. | ||
| For media you generated this session, you already know the prompt, model, and result URL — write that into `.kolbo/production.md` and reference it from context. | ||
| ## ⚠️ Presenting list results — show thumbnails (MANDATORY) | ||
| When you display the result of `list_visual_dnas`, `list_media`, `list_moodboards`, or any other tool that returns items with image/thumbnail URLs, render each item's thumbnail as a markdown image so the user can actually see what they have. The chat view auto-renders both `` markdown and bare image URLs, plus auto-injects a player below links to videos/audio. | ||
| Do NOT dump a text-only bullet list of ids + names when a thumbnail field is available in the response. | ||
| **Visual DNA listing format:** | ||
| ``` | ||
| Visual DNAs (6): | ||
| 1. **Maya** — `vdna_abc` (character) | ||
|  | ||
| 2. **Tokyo Neon** — `vdna_xyz` (style) | ||
|  | ||
| ``` | ||
| **Media listing format:** | ||
| ``` | ||
| 1. **rain-loop.mp4** — `med_abc` (video, 5s, 1080p) | ||
| https://cdn.kolbo.ai/.../rain-loop.mp4 | ||
| 2. **coffee-01.png** — `med_def` (image, 1024x1024) | ||
|  | ||
| ``` | ||
| Fields to read for the image source (use the first one present on the item): `thumbnail`, `thumbnail_url`, `preview_url`, `url`, `image`. For videos and audio, use the file `url` directly. | ||
| ## ⚠️ @name Syntax — ALWAYS use it when passing visual_dna_ids (MANDATORY) | ||
| Whenever a generation call passes `visual_dna_ids` (even just one), the prompt MUST refer to each Visual DNA by `@<exact-name>` — the literal `name` field as it was set in `create_visual_dna` and as it appears in `list_visual_dnas`. This is how the engine binds the DNA to a role in the scene. Without `@name`, the engine guesses, drops the DNA, or blends multiple DNAs together. | ||
| **Use the actual stored name, programmatically.** When you call `list_visual_dnas` (or `create_visual_dna`), read the `name` field off the response and use that exact string after the `@`. Do NOT: | ||
| - Translate the name into another language ("אסתר" / "esther" / "אסתי" — pick whichever string is in `name` and use ONLY that one). | ||
| - Invent a friendlier alias ("the model", "המודל", "her"). | ||
| - Write the character's name in plain text without the `@` prefix. | ||
| - Drop the `@name` when only one DNA is passed — the engine still needs the binding so it knows the DNA is the *subject* and not a passive style. | ||
| **Wrong** (DNA `name` is `esther_model`, user wrote prompt in Hebrew): | ||
| ``` | ||
| prompt: "אסתר לובשת שרשרת זהב, פורטרט חצי גוף" | ||
| visual_dna_ids: ["vdna_abc"] | ||
| ``` | ||
| The engine sees plain text "אסתר" and has no idea it should bind to the DNA. | ||
| **Right:** | ||
| ``` | ||
| prompt: "@esther_model לובשת שרשרת זהב, פורטרט חצי גוף" | ||
| visual_dna_ids: ["vdna_abc"] // esther_model | ||
| ``` | ||
| **Multi-DNA example:** | ||
| ``` | ||
| prompt: "@dana standing in @shop, picking up a product" | ||
| visual_dna_ids: ["vdna_abc", // dana | ||
| "vdna_xyz"] // shop | ||
| ``` | ||
| **How `@name` actually binds:** kolbo-api parses the prompt for `@<name>` mentions, queries the DB for a Visual DNA whose `name` matches (case-insensitive), and **replaces the `@name` token with that DNA's stored `systemPrompt`**. If no `@name` is in the prompt, the systemPrompt never gets injected — the `visual_dna_ids` slot is effectively wasted. | ||
| The match is **literal and case-insensitive**, so: | ||
| - The `@name` must equal the stored `name` field (e.g. if `name: "esther_model"` → write `@esther_model`, not `@Esther`, not `@אסתר`, not `@the model`). | ||
| - Any-language characters are supported — if the DNA was created with `name: "אסתר"` you write `@אסתר`. Use the EXACT stored string. | ||
| - Mentions terminate at punctuation (`.,!?`), double-spaces, another `@`, or end of string. So `@maya, wearing...` matches `maya`. | ||
| This composes with `@image1` / `@image2` positional tags for plain reference/source images — see "Reference Tagging" below. | ||
| ### ⚠️ Naming rule for `create_visual_dna` — NO SPACES (MANDATORY) | ||
| The `name` you set MUST be a **single token, lowercase, no spaces, ASCII-safe** — `esther_model`, `dana`, `tokyo_neon`, `brand_red`. Never `Sarah Johnson`, never `the red dress`. | ||
| Reason: the prompt parser stops the `@<token>` match at the first space (and at `.,!?` punctuation). So `@Sarah Johnson` matches *only* `Sarah` — if no DNA named `Sarah` exists, the mention is silently dropped and the DNA never binds. A single-token name is the only way to guarantee inline `@name` works in any sentence, in any language, without forcing the user to write awkward punctuation around it. | ||
| Use underscores for multi-word concepts (`old_town`, not `Old Town`). When the user proposes a name with spaces, accept the intent but collapse it into a single token before storing (`"Sarah Johnson"` → `sarah_johnson`) and tell them once how you'll refer to it. Source of truth: [kolbo-docs / Visual DNA & @ References](https://docs.kolbo.ai/kolbo-code/visual-dna). | ||
| ## Reference Tagging — `@image1` / `@video1` / `@Audio1` | ||
| When a generation call passes ANY references (`reference_images`, `source_images`, `reference_videos`, `source_videos`, `reference_audio`, `elements`, OR `visual_dna_ids`), name them inside the prompt so the model knows **which asset plays which role**. Without tags, the engine guesses and the wrong reference bleeds into the wrong slot. | ||
| **Tag namespaces, used together:** | ||
| | Tag | Refers to | Order rule | | ||
| |---|---|---| | ||
| | `@image1`, `@image2`, … | Plain images in `reference_images` / `source_images` | Position in the array — `@image1` = `images[0]` | | ||
| | `@video1`, `@video2`, … | Videos in `reference_videos` / `source_videos` / video `elements` slots | Position in the array | | ||
| | `@Audio1`, `@Audio2`, … | Audio in `reference_audio` / `audio` slots (lipsync source, music style ref, voice clone, etc.) | Position in the array | | ||
| | `@<dna-name>` | A Visual DNA — use the literal `name` field | Name-based, never positional | | ||
| **Reserved**: `@Image\d+`, `@Video\d+`, `@Audio\d+` are reserved by the Kinovi Omni Reference parser — they are NOT looked up as Visual DNAs. Never name a Visual DNA `Image1` / `Video2` / etc. (kolbo-api rejects this on creation). | ||
| **How to write a tagged prompt:** | ||
| ``` | ||
| Place @maya at the coffee-shop counter from @image1, wearing the leather jacket from @image2. | ||
| Keep the warm window light from @image1; ignore the people in the background of @image2. | ||
| ``` | ||
| ``` | ||
| Animate @maya walking through @video1's snowy street, matching the camera move of @video1; ignore the people in @video1. | ||
| ``` | ||
| ``` | ||
| Lipsync @video1's speaker to the dialogue track @Audio1, keeping the original ambient room tone of @video1. | ||
| ``` | ||
| **Rules:** | ||
| 1. **Order is contract.** `@imageN` / `@videoN` / `@AudioN` are bound to position N in the array you pass. Reordering silently changes what each tag points to — don't reorder mid-conversation; if you need to add a new ref, append it rather than inserting. | ||
| 2. **For edits, the source is `@image1` (or `@video1`).** In `generate_image_edit`, the first entry of `source_images` is the canonical base. | ||
| 3. **Visual DNA tags are name-based, not positional.** `@maya` always means the DNA you registered as `name: "maya"`, regardless of where its id sits in `visual_dna_ids`. | ||
| 4. **Tag every reference you actually pass.** If you pass a reference but never mention it in the prompt, the engine often treats it as decorative — either drop it or name it explicitly. | ||
| 5. **Tags carry across the production log.** When you log a generation to `.kolbo/production.md`, write the prompt with the tags intact and record the `@name → URL` / `@name → vdna_id` binding alongside. | ||
| 6. **Tag even single-reference calls when a DNA, video, or audio is involved.** Single plain image with no DNA can use prose ("this image"), but as soon as the call also carries a DNA, a video ref, or an audio ref, tag every asset so the engine knows the subject vs. the modifier role. | ||
| **Failure modes the tags fix:** | ||
| | Without tags | With tags | | ||
| |---|---| | ||
| | "Combine these two images" → engine averages them | "Put the subject from @image1 into the scene of @image2" | | ||
| | "Same character, new outfit" with 2 refs → wrong face | "Keep @maya's face from the Visual DNA; apply the outfit from @image1" | | ||
| | "Edit this" with 3 source images → engine edits whichever is first | "In @image1, replace the sky with the sky from @image2" | | ||
| | "Lipsync this video to this audio" with 2 audio tracks → wrong track picked | "Lipsync @video1 to @Audio1; ignore @Audio2 (that's the music bed)" | | ||
| | "Match this video's style" with 2 video refs → blended motion | "Use @video1's camera move; use @video2's color grade" | | ||
| | "Music like this" with a reference track → engine ignores it | "Compose in the style of @Audio1, but slower and without vocals" | | ||
| ## Mixing References, Visual DNAs, and Moodboards | ||
| You can combine all three reference types in a single call — they're additive, not exclusive. The system blends them; the model uses whichever it can interpret best for the prompt. | ||
| | Tool | `source_images` | `reference_images` | `visual_dna_ids` | `moodboard_id` | | ||
| |---|:-:|:-:|:-:|:-:| | ||
| | `generate_image` | — | ✅ | ✅ | ✅ | | ||
| | `generate_image_edit` | ✅ required | — (source_images plays this role) | ✅ | ✅ | | ||
| | `generate_creative_director` | — | ✅ (applied to every scene) | ✅ (locks character across scenes) | ✅ / `moodboard_ids` | | ||
| | `generate_elements` (video) | — | ✅ (also `reference_videos`, `audio_url`) | ✅ | — | | ||
| **Practical combinations:** | ||
| - *"Make her in a Tokyo street, matching this mood board, with the same face as Visual DNA Maya"* → `generate_image` with `visual_dna_ids=[maya], moodboard_id=tokyo_neon`. No `reference_images` needed. | ||
| - *"Same character, but place her like in this composition"* → `generate_image` with `visual_dna_ids=[maya], reference_images=[layout.png]`. The DNA owns the *face*; the reference owns the *pose/composition*. | ||
| - *"Edit this photo to give her the leather-jacket look from Visual DNA Maya"* → `generate_image_edit` with `source_images=[photo.png], visual_dna_ids=[maya]`. Source is what's edited; the DNA injects the wardrobe identity. | ||
| - *"4 angles of this character, brand-styled"* → `generate_creative_director` with `scene_count=4, visual_dna_ids=[maya], moodboard_id=brand_x`. DNA keeps the face; moodboard sets the look. | ||
| - *"Generate 6 product hero shots; here are 3 reference comp images and our brand moodboard"* → `generate_creative_director` with `scene_count=6, reference_images=[comp1, comp2, comp3], moodboard_id=brand_x`. No DNA needed if it's a product not a face. | ||
| **Rule of thumb:** | ||
| - Need an **identity** (face, character, specific product) to stay constant → `visual_dna_ids`. | ||
| - Need a **composition / pose / mood reference** → `reference_images`. | ||
| - Need an **overall style / palette / brand look** → `moodboard_id`. | ||
| - Need all three at once → pass all three. They compose. | ||
| ## Visual DNA Limits | ||
| Read `max_visual_dna` from `list_models` for the exact cap, AND `supports_visual_dna` for the on/off boolean. A model can support DNA without an explicit cap, or have a non-null cap but silently ignore DNA on certain paths (e.g. `generate_video`). Typical ranges: image models (non-Kling) up to **8**, Kling image models **3**, Elements video models **3–5**, everything else up to **3**. | ||
| ## ⚠️ Visual DNA Creation — Always Generate Reference Images First (MANDATORY) | ||
| **Before calling `create_visual_dna` for a character**, always generate 2 reference images first and include them alongside any user-provided images. These give the Visual DNA engine multi-angle coverage and dramatically improve consistency. | ||
| **Step 1 — Generate both images in parallel (one `generate_image` call each, fire simultaneously):** | ||
| 1. **4-angle character sheet** — prompt: `"[character description], character reference sheet showing front view, back view, left side view, right side view, four panels arranged in a 2x2 grid, neutral solid background, full body, photorealistic"`, aspect ratio `16:9` | ||
| 2. **Close-up portrait** — prompt: `"[character description], close-up portrait, face and shoulders, neutral solid background, soft studio lighting, photorealistic"`, aspect ratio `1:1` | ||
| **Step 2 — Call `create_visual_dna`** with: | ||
| - `images`: the 4-angle sheet URL first, then the close-up URL — **plus** the user's reference photo(s) only if they provided one (i.e. a real person or existing character they want to match). If they gave no reference image, the 2 generated images alone are sufficient. | ||
| - `type`: `"character"` | ||
| - `name`: single-token lowercase descriptive name (see naming rule above) | ||
| **Why:** A single reference photo only shows one angle. The close-up gives the engine facial detail; the 4-angle sheet gives it body geometry and pose range. Together they produce far more consistent generations. | ||
| **Skip this only if** the user explicitly says "just use my image as-is" or provides 3+ reference images already covering multiple angles. | ||
| ## When to Use | ||
| - User wants the same character across multiple **images** or a campaign → `generate_image` / `generate_creative_director` with `visual_dna_ids` | ||
| - User wants to animate a character in video using **elements models** (Seedance 2, Kling O3 Reference, Grok Imagine, Veo 3.1, etc.) → `generate_elements` with `visual_dna_ids` | ||
| - User wants a consistent brand style across a campaign → `generate_creative_director` with `visual_dna_ids` | ||
| - User references "keep the same look", "same character", or "use that character" | ||
| - User provides reference photos of a person/product to maintain consistency | ||
| - User asks to put a character in a specific environment or scene → create both a character Visual DNA and an environment Visual DNA, use `@name` syntax to place them | ||
| ## ⚠️ When NOT to Use Visual DNA | ||
| - **Animating an image** → `generate_video_from_image`; the source image IS the reference, don't add `visual_dna_ids`. | ||
| - **Video DNA support is limited to `generate_elements`** (Seedance 2, Kling O3 Reference, Grok Imagine). `generate_video`, `generate_video_from_image`, and `generate_first_last_frame` all ignore `visual_dna_ids` — for character-consistent video, route through `generate_elements`. |
| 0.4.0 |
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| { | ||
| "name": "@kolbo/kolbo-code-linux-arm64", | ||
| "version": "2.2.5", | ||
| "version": "2.3.0", | ||
| "os": [ | ||
@@ -5,0 +5,0 @@ "linux" |
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