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@bonnard/cli

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@bonnard/cli - npm Package Compare versions

Comparing version
0.3.8
to
0.3.9
+21
-3
dist/templates/claude/skills/bonnard-get-started/SKILL.md

@@ -10,5 +10,9 @@ ---

This skill guides you through building and deploying a semantic layer.
The user has already run `bon init`. Walk through each phase in order,
confirming progress before moving on.
The user has already run `bon init`.
**IMPORTANT — pacing:** Complete ONE phase at a time. Before starting a phase,
briefly explain what it does and why. After completing it, show the user what
happened and ask if they're ready to move on. Do NOT run through all phases
in one go.
## Phase 1: Connect a Data Source

@@ -56,2 +60,5 @@

**CHECKPOINT:** Show the user the tables and columns you found. Ask which
table they'd like to model first before proceeding.
## Phase 3: Create Your First Cube

@@ -127,4 +134,11 @@

## Phase 4: Create a View
## Phase 4: Design Views for Your Audience
Before creating view files, ask the user:
- **Who will query this data?** (e.g., sales managers, product analysts, executives, AI agents)
- **What questions do they typically ask?** (e.g., "what's revenue by store this month?", "which products are trending?")
Use the answers to decide view names, which measures/dimensions to include,
and how to write descriptions. Each persona or use case may warrant its own view.
Views expose a curated subset of measures and dimensions for specific

@@ -182,2 +196,6 @@ audiences. **Name views by what they answer** (e.g., `sales_performance`),

**CHECKPOINT:** Before deploying, summarize what will be deployed — list the
cubes, views, datasources, and any joins. Ask the user to confirm before
running `bon deploy`.
Log in (if not already) and deploy:

@@ -184,0 +202,0 @@

+1
-1
{
"name": "@bonnard/cli",
"version": "0.3.8",
"version": "0.3.9",
"type": "module",

@@ -5,0 +5,0 @@ "bin": {

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