# Fastapi Pro

> Expert FastAPI development covering async API design, Pydantic validation, Dependency Injection, and high-performance patterns. Use when this capability is needed.

- Skill: `tomevault-io/fastapi-pro-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/fastapi-pro-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/fastapi-pro-2/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Integrations & APIs
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/fastapi-pro-2

---


# FastAPI Pro

Expert-level orchestration of high-performance Python APIs using FastAPI. Focuses on speed, type safety, and automatic documentation.

## Boundary

**`fastapi-pro`** covers FastAPI core (Routes, Dependencies, Middleware), Pydantic (Models, Validation), Async support (`async def`), and integration with SQL/NoSQL databases. It does NOT cover general Python language features (use `python-pro` for that).

## When to use

- Building high-performance, async APIs in Python.
- Implementing robust data validation and serialization using Pydantic.
- Designing modular APIs through FastAPI's Dependency Injection system.
- Generating interactive API documentation (Swagger/ReDoc) automatically.

## Workflow

1. **Schema Design**: Define request/response models using Pydantic.
2. **Endpoint Implementation**: Write async route handlers.
3. **Dependency Injection**: Implement reusable logic (Auth, DB session) via dependencies.
4. **Integration**: Connect to databases or external services.
5. **Testing**: Write unit tests using `TestClient` and `pytest`.
6. **Deployment**: Configure Uvicorn/Gunicorn for production.

### Operating principles

- **Type Safety is King**: Leverage Python type hints for validation and editor support.
- **Async First**: Use `async def` for I/O bound operations to maximize throughput.
- **Minimalistic Logic in Routes**: Keep route handlers thin; move logic to services/dependencies.
- **Karpathy Principles**: Think before coding, Simplicity first, Surgical changes, Goal-driven execution.

## Suggested response format (STRICT)

Your response MUST follow this structure:

```xml
<Role>
Senior FastAPI Developer.
</Role>

<Feature>
[API Endpoint/Feature Description]
</Feature>

<Implementation>
[Clean, type-hinted FastAPI code Artifact]
</Implementation>

<Verification>
[Step-by-step verification plan with Swagger or Pytest examples]
</Verification>
```

## Resources in this skill

| Topic | Reference |
|-------|-----------|
| FastAPI Roadmap | [roadmap.sh/fastapi](https://roadmap.sh/fastapi) |
| FastAPI Docs | [fastapi.tiangolo.com](https://fastapi.tiangolo.com) |
| Pydantic Docs | [docs.pydantic.dev](https://docs.pydantic.dev) |
| Tiangolo's Full Stack Template | [github.com/tiangolo/full-stack-fastapi-template](https://github.com/tiangolo/full-stack-fastapi-template) |

## Quick example

**Feature:** Async endpoint with Pydantic validation and Dependency Injection.

```python
from fastapi import FastAPI, Depends
from pydantic import BaseModel

app = FastAPI()

class Item(BaseModel):
    name: str
    price: float

async def get_db():
    # ... db logic
    yield "db_session"

@app.post("/items/")
async def create_item(item: Item, db=Depends(get_db)):
    return {"item": item, "db": db}
```

## Checklist before calling the skill done

- [ ] **Think Before Coding**: Pydantic models and dependency flow planned.
- [ ] **Simplicity First**: Leveraged FastAPI's built-in validation and documentation.
- [ ] **Surgical Changes**: Only updated necessary routers or models.
- [ ] **Goal-Driven Execution**: Verified with Swagger UI (`/docs`) and `pytest`.
- [ ] Request and Response models correctly defined and typed.
- [ ] Dependency Injection used for shared logic (Auth, DB).
- [ ] Error handling (HTTPException) implemented for all edge cases.

---
> Source: [truongnat/skills](https://github.com/truongnat/skills) — distributed by [TomeVault](https://tomevault.io).
<!-- tomevault:4.0:skill_md:2026-05-22 -->