Fastapi
Modular, scalable, automated development intelligence.
npx -y skills add DongDuong2001/pudo-code-system --skill fastapiAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Python FastAPI PUDO Checklist
1. PLAN (Architecture & Strategy)
- API Design: Define RESTful endpoints, path parameters, and query parameters.
- Data Validation: Plan Pydantic models for request (In) and response (Out) schemas.
- Database & ORM: Select the async DB driver and ORM (e.g., SQLAlchemy 2.0 with async engine, SQLModel).
- Authentication: Plan dependency injection for Auth (OAuth2, JWT tokens).
2. UNDERSTAND (Context & Auditing)
- Dependencies: Review the existing dependency injection (
Depends()) tree. - Sync vs Async: Audit for blocking I/O calls within
async defendpoints. Ensure CPU-bound tasks usedefor thread pools. - Middleware: Review CORS, rate limiting, and custom middleware configurations.
3. DEVELOP (Implementation)
- Schemas: Implement strict Pydantic v2 models with
Fieldvalidation constraints. - Endpoints: Create routers (
APIRouter) to group related endpoints. - Dependency Injection: Use
Depends()for database sessions, current user retrieval, and pagination parameters. - Error Handling: Implement custom Exception Handlers for consistent JSON error responses.
4. OPTIMIZE (Performance & Review)
- Concurrency: Ensure database calls are utilizing
awaitproperly without deadlocks. - Serialization: Profile Pydantic serialization speeds; consider
orjsonif JSON parsing is a bottleneck. - Documentation: Enrich OpenAPI docs with endpoint descriptions, tags, and summary response models.
- Security: Verify that sensitive models do not leak password hashes via
response_modelconstraints.