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c0x12c/ai-toolkit100 installs

python-api-endpoint-creator

Creates FastAPI endpoints with layered architecture (Router → Service → Repository). Use when creating new API endpoints, CRUD operations, or scaffolding a new domain module in a FastAPI project.

How do I install this agent skill?

npx skills add https://github.com/c0x12c/ai-toolkit --skill python-api-endpoint-creator
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill provides templates and guidelines for creating FastAPI endpoints using a layered architecture. It includes security-conscious guidance to prevent common developer errors such as unintentional data exposure. No malicious patterns were detected.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

Python API Endpoint Creator

Creates complete FastAPI endpoints following strict layered architecture patterns.

When to Use

  • Creating a new REST API endpoint from scratch
  • Adding CRUD operations for a new domain entity
  • Setting up the full stack: Router → Service → Repository → Tests
  • Scaffolding a new domain module

Process

  1. Pydantic Schemas — Create/Update/Response in schemas.py
  2. SQLAlchemy Model — with SoftDeleteMixin in models.py
  3. Repository — async CRUD with soft delete in repository.py
  4. Service — business logic, HTTPException for errors in service.py
  5. Dependencies — get_db, get_service in dependencies.py
  6. Router — thin endpoints, Depends() for everything in router.py
  7. Tests — httpx AsyncClient tests in tests/

See code-patterns.md for complete templates for each file.

Architecture

Router (APIRouter)  →  Service  →  Repository  →  Database
      ↓                  ↓            ↓
  Depends()        Business logic  SQLAlchemy
  Pydantic schemas HTTPException   AsyncSession
  Status codes     Validation      Soft delete

Hard Rules

  • POST for all mutations — GET for reads, POST for create/update/delete
  • Query params for IDs — ?id=xxx, never path params /{id}
  • Routers are thin — just delegation, no business logic
  • Services raise HTTPException — for expected errors (404, 409, 422)
  • Repositories handle soft delete — filter deleted_at.is_(None) in all queries
  • async def for all endpoints — unless CPU-bound

Gotchas

  • Forgetting response_model makes your API leak internal fields. Always set response_model=YourSchema on endpoints. Without it, FastAPI serializes the raw return value, which may include hashed_password, deleted_at, or other internal fields from your SQLAlchemy model.

  • Depends() creates a new instance per request — not a singleton. If your service holds state, it will be lost between requests. Services should be stateless. If you need shared state, use app state or a cache.

  • await db.commit() in the dependency, not in the repository. The get_db dependency handles commit/rollback. If you also commit inside the repository, you get double-commit bugs or premature commits before all operations complete.

  • 422 errors from Pydantic are opaque by default. Override the RequestValidationError handler to return field-level errors. The default just says "validation error" with no useful detail for the frontend.

  • Missing status_code=201 on create endpoints. FastAPI defaults to 200. Explicitly set status_code=status.HTTP_201_CREATED on POST create routes and status_code=status.HTTP_204_NO_CONTENT on delete routes.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/c0x12c/ai-toolkit/python-api-endpoint-creator">View python-api-endpoint-creator on skillZs</a>