fastapi-development

Build async APIs with FastAPI, including endpoints, dependency injection, validation, and testing. Use when creating REST APIs, web backends, or microservices.

25 stars

Best use case

fastapi-development is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Build async APIs with FastAPI, including endpoints, dependency injection, validation, and testing. Use when creating REST APIs, web backends, or microservices.

Teams using fastapi-development 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

$curl -o ~/.claude/skills/fastapi-development/SKILL.md --create-dirs "https://raw.githubusercontent.com/ComeOnOliver/skillshub/main/skills/aiskillstore/marketplace/bossjones/fastapi-development/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/fastapi-development/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How fastapi-development Compares

Feature / Agentfastapi-developmentStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Build async APIs with FastAPI, including endpoints, dependency injection, validation, and testing. Use when creating REST APIs, web backends, or microservices.

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 Development

## Quick start

Create a basic FastAPI application:

```python
from fastapi import FastAPI

app = FastAPI()

@app.get("/")
async def read_root():
    return {"Hello": "World"}

@app.get("/items/{item_id}")
async def read_item(item_id: int, q: str | None = None):
    return {"item_id": item_id, "q": q}
```

Run with:

```bash
uv run uvicorn main:app --reload
```

## Common patterns

### Pydantic models for validation

```python
from pydantic import BaseModel
from typing import Optional

class Item(BaseModel):
    name: str
    description: Optional[str] = None
    price: float
    tax: Optional[float] = None

@app.post("/items/")
async def create_item(item: Item):
    return item
```

### Dependency injection

```python
from typing import Annotated
from fastapi import Depends

async def common_parameters(
    q: str | None = None,
    skip: int = 0,
    limit: int = 100
):
    return {"q": q, "skip": skip, "limit": limit}

CommonsDep = Annotated[dict, Depends(common_parameters)]

@app.get("/items/")
async def read_items(commons: CommonsDep):
    return commons
```

### Database dependencies with cleanup

```python
async def get_db():
    db = connect_to_database()
    try:
        yield db
    finally:
        db.close()

@app.get("/query/")
async def query_data(db: Annotated[dict, Depends(get_db)]):
    return {"data": "query results"}
```

### Error handling

```python
from fastapi import HTTPException

@app.get("/items/{item_id}")
async def read_item(item_id: int):
    if item_id < 1:
        raise HTTPException(status_code=404, detail="Item not found")
    return {"item_id": item_id}
```

### Path and query validation

```python
from typing import Annotated
from fastapi import Path, Query

@app.get("/items/{item_id}")
async def read_item(
    item_id: Annotated[int, Path(gt=0, le=1000)],
    q: Annotated[str, Query(max_length=50)] = None
):
    return {"item_id": item_id, "q": q}
```

### Response models

```python
from pydantic import BaseModel

class ItemPublic(BaseModel):
    id: int
    name: str
    price: float

@app.get("/items/{item_id}", response_model=ItemPublic)
async def read_item(item_id: int):
    return ItemPublic(id=item_id, name="Laptop", price=999.99)
```

## Testing with TestClient

```python
from fastapi.testclient import TestClient

client = TestClient(app)

def test_read_root():
    response = client.get("/")
    assert response.status_code == 200
    assert response.json() == {"Hello": "World"}

def test_read_item():
    response = client.get("/items/42?q=test")
    assert response.status_code == 200
    assert response.json() == {"item_id": 42, "q": "test"}
```

## Requirements

```bash
uv add fastapi uvicorn
uv add "fastapi[all]"  # Includes all optional dependencies
```

## Key concepts

- **Async/await**: Use `async def` for I/O operations
- **Automatic validation**: Request/response validation with Pydantic
- **Dependency injection**: Share logic across endpoints with `Depends`
- **Type hints**: Full editor support and validation
- **Interactive docs**: Auto-generated Swagger/OpenAPI at `/docs`
- **Background tasks**: Run tasks after response using `BackgroundTasks`

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