Menu
Analyze existing web development codebase and generate documentation for AI-assisted development. Use when adding harness to existing projects (1→N).
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
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