fastapi
FastAPI framework best practices including Pydantic schemas, dependency injection, and async patterns.
Best use case
fastapi is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
FastAPI framework best practices including Pydantic schemas, dependency injection, and async patterns.
Teams using fastapi should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/fastapi/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How fastapi Compares
| Feature / Agent | fastapi | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
FastAPI framework best practices including Pydantic schemas, dependency injection, and async patterns.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# FastAPI Best Practices ## Project Structure - app/main.py - Application entry - app/routers/ - Route handlers - app/models/ - SQLAlchemy models - app/schemas/ - Pydantic schemas - app/services/ - Business logic - app/dependencies.py - Dependency injection ## Pydantic Schemas - Use separate schemas for input/output - Use Field() for validation - Use model_validator for complex validation - Use Config for schema settings ## Dependency Injection - Use Depends() for dependencies - Create reusable dependencies - Use yield for cleanup logic - Cache expensive dependencies ## Async - Use async def for I/O operations - Use httpx for async HTTP - Use databases/SQLAlchemy async - Avoid blocking in async context ## Performance - Use response_model for serialization - Enable response caching - Use background tasks - Stream large responses - Use connection pooling
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Build Your FastAPI Skill
Create your FastAPI skill in one prompt, then learn to improve it throughout the chapter
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