onboard-codebase

name	onboard-codebase
description	Analyze existing web development codebase and generate documentation for AI-assisted development. Use when adding harness to existing projects (1→N).
user-invocable	true
argument-hint
allowed-tools	Read, Glob, Grep, Write, Bash, WebSearch

/onboard-codebase - Analyze Existing Project

Analyze existing codebase and generate AI-ready documentation.

Usage

/onboard-codebase

When to Use

• Adding harness to existing project
• After major refactoring
• When onboarding new team members
• Before starting significant changes

Analysis Process

1. Project Detection

Detect:

• Frontend: React/Vue, component structure, state management
• Backend: FastAPI/Flask, API structure, middleware
• Database: PostgreSQL schemas, migrations, Redis usage
• Deployment: Docker, CI/CD pipelines

2. Architecture Mapping

Generate:

• Component hierarchy diagram
• API endpoint catalog
• Database relationship map
• Service boundaries (for microservices)

3. Documentation Generation

Create:

• docs/architecture/overview.md - System architecture
• docs/api/endpoints.md - API documentation
• docs/database/schema.md - Database schemas
• CLAUDE.md - Project context for AI

4. Agent Context

Populate agent knowledge:

• Frontend patterns used
• Backend conventions
• Testing setup
• Deployment procedures

Output

✅ Codebase onboarded

Generated:
  - docs/architecture/overview.md
  - docs/api/endpoints.md
  - docs/database/schema.md
  - CLAUDE.md (updated)

Detected:
  - Frontend: React with TypeScript
  - Backend: FastAPI
  - Database: PostgreSQL + Redis
  - Deployment: Docker + GitHub Actions

Next: Run /start to begin AI-assisted development

Reference

Base implementation: @references/base/progress/skills/onboard-codebase/SKILL.md