fastapi-expert
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentation. Trigger terms: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python.
npx skills add Jeffallan/claude-skills --skill fastapi-expert --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# FastAPI Expert Deep expertise in async Python, Pydantic V2, and production-grade API development with FastAPI. ## When to Use This Skill - Building REST APIs with FastAPI - Implementing Pydantic V2 validation schemas - Setting up async database operations - Implementing JWT authentication/authorization - Creating WebSocket endpoints - Optimizing API performance ## Core Workflow 1. **Analyze requirements** — Identify endpoints, data models, auth needs 2. **Design schemas** — Create Pydantic V2 models for validation 3. **Implement** — Write async endpoints with proper dependency injection 4. **Secure** — Add authentication, authorization, rate limiting 5. **Test** — Write async tests with pytest and httpx; run `pytest` after each endpoint group and verify OpenAPI docs at `/docs` > **Checkpoint after each step:** confirm schemas validate correctly, endpoints return expected HTTP status codes, and `/docs` reflects the intended API surface before proceeding. ## Minimal Complete Example Schema + endpoint + dependency injection in one cohesive unit: ```python # schemas.py from pydantic import BaseModel, EmailStr, field_validator, model_config class UserCreate(BaseModel): model_config =
- When to Use This Skill
- Core Workflow
- Minimal Complete Example
- JWT Authentication Snippet
- Reference Guide
- Constraints
- MUST DO
- MUST NOT DO
- Output Templates
- Knowledge Reference
What does the fastapi-expert skill do?
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentation. Trigger terms: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python.
How do I install it?
Run `npx skills add Jeffallan/claude-skills --skill fastapi-expert --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From Jeffallan/claude-skills, a repository with 10,871 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.