Claude-skill-registry fastapi-rest-api-skill

A skill for building RESTful APIs with FastAPI. Use this skill to create a new FastAPI project with a standard project structure, including routers, models, schemas, and services. This skill provides a boilerplate project, CRUD endpoint templates, Pydantic validation examples, and guidance on dependency injection, background tasks, file uploads, and pagination. It leverages async/await for efficient I/O operations. Trigger this skill when a user wants to build a RESTful API using FastAPI, needs a starter project, or wants to learn best practices for FastAPI development.

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/fastapi-rest-api-skill" ~/.claude/skills/majiayu000-claude-skill-registry-fastapi-rest-api-skill && rm -rf "$T"
manifest: skills/data/fastapi-rest-api-skill/SKILL.md
source content

FastAPI RESTful API Builder Skill

This skill helps you build robust and scalable RESTful APIs using FastAPI. It provides a boilerplate project and documentation on best practices.

Quickstart

To create a new FastAPI project, copy the boilerplate project from the

assets/fastapi-boilerplate
directory.

cp -r assets/fastapi-boilerplate /path/to/your/new/project

This boilerplate includes:

  • A recommended project structure with
    app/routers
    ,
    app/models
    ,
    app/schemas
    , and
    app/services
    .
  • A working example of a CRUD API for an
    items
    resource.
  • SQLAlchemy integration with a SQLite database.
  • Pydantic models for request and response validation.

Core Concepts and Patterns

This skill promotes a set of best practices for FastAPI development. For detailed explanations and code examples, refer to the following documents in the

references/
directory.

Asynchronous Operations

FastAPI is built on

asyncio
and supports asynchronous code using
async
and
await
. This is crucial for I/O-bound operations like database queries or external API calls, as it allows your server to handle multiple requests concurrently without blocking.

When defining your path operations, you can use

async def
:

@app.get("/")
async def read_root():
    # Asynchronous database call
    results = await db.fetch_all("SELECT * FROM items")
    return results

Ensure that any I/O-bound libraries you use have async support (e.g.,

databases
,
httpx
).