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Analyze existing web development codebase and generate documentation for AI-assisted development. Use when adding harness to existing projects (1→N).
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Generate customized .claude/ harness framework with Fusion Architecture (GAN-inspired + Domain Specialists). TRIGGER when user wants to set up AI-assisted development structure, create a new project harness, add structure to existing projects, or mentions 'harness', 'scaffold', 'framework setup'. Supports all domains through template + dynamic generation.
Negotiates 'done' criteria between Generator, Evaluator, and architect-lead before implementation begins. Converts subjective goals into testable, gradable criteria with clear domain responsibilities.
Guided database migration workflow — from schema design to rollback documentation.
Production incident response workflow — triage, root cause analysis, and resolution.
Track, categorize, and prioritize technical debt across the codebase.
Save current progress with structured handoff artifact. Enables context reset for long-running tasks and session recovery.
| 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 |
Analyze existing codebase and generate AI-ready documentation.
/onboard-codebase
Detect:
Generate:
Create:
docs/architecture/overview.md - System architecturedocs/api/endpoints.md - API documentationdocs/database/schema.md - Database schemasCLAUDE.md - Project context for AIPopulate agent knowledge:
✅ 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
Base implementation: @references/base/progress/skills/onboard-codebase/SKILL.md