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.
Install
With your agent
Install OMGSkills skill "jeffallan/claude-skills:fastapi-expert" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/Jeffallan/claude-skills /tmp/claude-skills && ln -s /tmp/claude-skills/skills/fastapi-expert ~/.claude/skills/fastapi-expert
From README
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 Analyze requirements — Identify endpoints, data models, auth needs Design schemas — Create Pydantic V2 models for validation Implement — Write async endpoints with proper dependency injection Secure — Add authentication, authorization, rate limiting 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.
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