@jetrabbits/agentic

Agent Intelligence Configuration (agentic)

18 areas · 10 Software specs · 8 DevOps specs · 7 SDLC agents + 2 specialists · 105+ skills · 73+ workflows

A unified catalog of agentic specializations and the agentic CLI. Install orchestrator-ready rules, skills, workflows, and prompts into any project — and run a full SDLC agent team out of the box.

• Website
• Coverage scorecard
• CLI usage guide
• Releases (prebuilt binaries)
• NPM package

Coverage snapshot

Coverage report for the current catalog across areas, specs, skills, and workflows.

Why agent-guides is different

Most agent prompt libraries give you a smarter single agent. agent-guides gives you a coordinated team:

@product-owner → @team-lead → @developer → @qa → @devops-engineer

Each role has hard boundaries, explicit handoff criteria, and measurable success metrics. The Product Owner orchestrates the full SDLC; no other agent library ships this out of the box.

Works with Claude Code, opencode, Cursor, Codex, kilocode, antigravity and Gemini.

What this is

agent-guides is a structured knowledge base for AI coding agents. Instead of writing long system prompts, you install focused, composable guidance files that agents load on demand based on the task at hand.

Each area (e.g., devops/kubernetes) provides:

File type	Purpose	When loaded
AGENTS.md	Navigation index, load order, constraints	First — always
rules/*.md	Hard constraints the agent must follow	Always, for the active spec
skills/*/SKILL.md	Technical capabilities and patterns	On demand, matching "When to load"
workflows/*.md	Orchestrated step-by-step processes	On /command trigger
prompts/*.md	Human copy-paste templates (EN + RU)	Reference / paste

Repository structure

agent-guides/
├── areas/
│   ├── software/              # Application development
│   │   ├── general/           # Shared baseline — all software specs inherit from here
│   │   ├── backend/           # REST/GraphQL APIs, services, database access
│   │   ├── frontend/          # Components, accessibility, performance, CSS
│   │   ├── full-stack/        # End-to-end product features
│   │   ├── data-engineering/  # dbt, warehouses, pipelines, streaming
│   │   ├── mlops/             # Training, evaluation, serving, monitoring
│   │   ├── mobile/            # iOS, Android, React Native, Flutter
│   │   ├── platform/          # K8s manifests, IaC, CI/CD, secrets
│   │   ├── qa/                # Test strategy, coverage, flakiness, performance
│   │   └── security/          # Threat modeling, SAST/DAST, auth, compliance
│   └── devops/                # Platform and operations
│       ├── kubernetes/        # Cluster bootstrap, workload ops, RBAC, upgrades
│       ├── ci-cd/             # GitHub Actions, GitLab CI, quality gates, supply chain
│       ├── infrastructure/    # Terraform, Ansible, IaC standards, drift detection
│       ├── observability/     # Prometheus, Loki, Tempo, Grafana, SLOs
│       ├── sre/               # SLOs, error budgets, incidents, chaos engineering
│       ├── networking/        # Ingress, TLS, service mesh, DNS, VPC
│       ├── devsecops/         # Shift-left, SBOM, OPA/Kyverno, container hardening
│       └── database-ops/      # PostgreSQL, Redis, migrations, backup/restore
├── extensions/
│   ├── opencode/              # OpenCode agent definitions, commands, skills
│   │   └── agents/            # SDLC agents + post-task specialists for .opencode/agents/
│   ├── claude/                # Claude Code configs
│   │   └── agents/            # SDLC agents + post-task specialists for .claude/agents/
│   ├── antigravity/           # Antigravity platform configs
│   ├── codex/                 # Codex custom agents and override configs
│   │   └── agents/            # SDLC agents + post-task specialists for .codex/agents/
│   └── gemini/                # Gemini-specific configs
│   │   └── agents/            # SDLC agents + post-task specialists for .gemini/agents/
├── areas/template/            # Authoring templates — start here for new content
├── docs/                      # Setup and usage guides
├── AGENTS.md                  # Root agent guidance (loaded into every project)
└── src/                       # Rust CLI installer (self-contained binary)

Quick start

Requirements

agentic is a single self-contained binary — no runtime dependencies. The knowledge base (areas, extensions) is embedded into the binary.

• required: nothing (the binary works standalone)
• optional: python3 + pip (only for the MemPalace integration), agent binaries such as codex, opencode, claude, gemini (for doctor smoke checks and actual agent work)

Install

Via npm (thin launcher that fetches the platform binary on first run):

npx @jetrabbits/agentic@latest

Or bootstrap the latest release binary (linux x86_64/aarch64, macOS Intel/ARM):

curl -fsSL https://raw.githubusercontent.com/sawrus/agent-guides/main/install | bash

Or download a binary for your platform from GitHub Releases and run:

./agentic self-install --force

Build from source (Rust toolchain required):

make release-build && make install

Run

agentic

Upgrade

agentic upgrade
agentic upgrade --project-dir /path/to/project
agentic upgrade --force --dry-run
agentic upgrade --force

upgrade downloads the newest release binary from GitHub Releases and atomically replaces the installed one, then synchronizes project instructions using the new executable. Recognizable legacy artifacts are adopted; non-overlapping local edits are merged. Conflicts are replaced after backup, and fully user-owned instructions are preserved. --force rebuilds Agentic artifacts without prompts, using manifest settings or default + software.general when settings are unavailable. Unrelated project files and global configuration are preserved. Backups live in .agentic-backups/ and may contain credentials; exclude them from source control. See smart upgrade behavior for details.

Full instructions

• CLI usage guide
• Installed CLI lifecycle

See agentic in action

Interactive walkthrough of the agentic CLI flow: choose a target project, pick agent platforms, and install the guidance bundle.

SDLC Agent team

The same 7-agent SDLC team works across Claude Code, OpenCode, Codex, and any tool that supports agent or subagent files. Agentic also ships post-task review specialists for instruction quality and docs/memory hygiene, automatic for hooked workflows and optional elsewhere.

Agent	Role	Invoke when
product-owner	Scope, acceptance criteria, SDLC orchestration	Start of any feature; final acceptance
pm	Planning, milestones, risk register	Scope is defined, execution needs tracking
team-lead	Architecture, code review, quality gates	Planning and pre-release sign-off
developer	Implementation, tests, delivery	Implementation plan is approved
qa	Verification, defect classification, go/no-go	Developer hands off an increment
designer	UX flows, accessibility, design-system review	Planning and implementation review
devops-engineer	CI/CD, IaC, platform reliability	Anything touching infra, pipelines, or deploy

Each agent has a vibe (one-line personality), Identity, Communication Style, Success Metrics, and explicit Boundaries — so roles never overlap and handoffs are always documented.

Post-task specialists run outside the mandatory SDLC role matrix. The six delivery workflows listed in the Review Pipeline invoke both automatically after successful top-level delivery:

Agent	Role	Invoke when
instruction_reviewer	Post-task instruction effectiveness review	Successful delivery workflow with a review hook
memory_curator	Post-task docs and memory hygiene recommendations	Successful delivery workflow with a review hook

See Review Pipeline for the guidance-mode pipeline and .reviews/<task-id>/ output convention. The installed REVIEW_PIPELINE.md is loaded only at review time. Reports are compact, evidence-backed, and advisory; no instructions, docs, or memory are changed automatically.

Platform	Agent path	Format	Guide
Claude Code	project/.claude/agents/*.md	Markdown with YAML frontmatter	Claude Code subagents
OpenCode	project/.opencode/agents/*.md	Markdown with frontmatter	OpenCode agents · repo setup note
Codex	project/.codex/agents/*.toml	TOML custom agents	Codex subagents
Gemini	project/.gemini/agents/*.toml	Markdown with YAML frontmatter	Gemini subagents

What gets installed where

agentic installs shared guidance into .agent/ and selected IDE files into directories like .claude/, .opencode/, and .codex/. Generated runtime guidance goes to AGENTS.md; OpenCode also gets .opencode/AGENTS.md.

project/.agent/
├── rules/       ← constraints active for every task in this project
├── skills/      ← capabilities loaded on demand
├── workflows/   ← processes triggered by slash commands
└── prompts/     ← human-paste templates

Agent IDE options (interactive install)

MCP

• opencode-docs (safe): adds OpenCode documentation through a local MCP server.
• playwright (sensitive): adds browser automation through Playwright MCP.
• kubernetes (dangerous): adds Kubernetes cluster access through Kubernetes MCP.
• youtube-transcript (safe): adds YouTube transcript lookup through a local MCP server.
• docker-mcp (dangerous): adds Docker MCP Gateway as the generated docker MCP server.
• context7 (safe): adds a remote MCP server for up-to-date framework, library, SDK, and API documentation.
• mempalace (sensitive): adds a local memory MCP server for project context discovery and reuse.
• anydb (dangerous): adds database access through AnyDB MCP.

OpenCode Plugins

• Telegram Notifications: sends Telegram notifications when an OpenCode session becomes idle, including the final response or an attachment for long output. Stored internally as telegram-notification.
• Agent Model Mapping: maps .opencode/agents/*.md roles to main and fallback OpenCode models during interactive agentic install/agentic tui. Stored internally as agent-model-mapper; OpenCode startup never prompts or writes project files.

OpenCode Model Profiles

• OpenAI Model Profile: applies the bundled OpenAI model mapping from extensions/opencode/profiles/openai/.
• GitHub Copilot Model Profile: applies the bundled GitHub Copilot model mapping from extensions/opencode/profiles/githubcopilot/.
• User profiles: place opencode.json files under $HOME/.config/agentic/opencode/profiles/<profile-id>/. For example, $HOME/.config/agentic/opencode/profiles/DT/opencode.json appears in the optional OpenCode plugin menu as DT profile, and $HOME/.config/agentic/opencode/profiles/GH/opencode.json appears as GH profile.
• none: applies no model profile and does not copy the baseline extensions/opencode/opencode.json just for profile selection. OpenCode MCPs, Telegram notifications, and model mapping may still create or update .opencode/opencode.json when those options are selected.

Contributing

See CONTRIBUTING.md for authoring standards, templates, and the pull request process.

Quick checklist before opening a PR:

• Used the appropriate template from areas/template/.
• No {{PLACEHOLDER}} values remain.
• Spec map in AGENTS.md updated.
• Constraints in rules use imperative language.
• Prompt examples include both EN and RU blocks.

License

See LICENSE if present, or contact the maintainers.