python-fastapi-todo-app: Coding Workflows for AI Agents | OpenAgentSkill

Overview

Creates a simple Todo REST API with FastAPI, SQLite, and basic CRUD operations. Use when the user asks to create a todo app, task manager API, or a simple Python REST API with create/read/update/delete endpoints.

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Skill: Python FastAPI Todo App

Creates a simple Todo API with FastAPI, SQLite, and basic CRUD operations.

When to use

When the user asks to create a todo app, task manager API, or simple REST API with Python.

Steps

First, make sure Python 3.11+ is installed. On macOS use brew install python@3.11, on Linux use apt-get install python3.11.

Create the project directory and initialize a virtual environment:

mkdir -p todo-api/app
cd todo-api
python3 -m venv venv
source venv/bin/activate

Install the dependencies:

pip install fastapi uvicorn sqlalchemy

Create the file app/database.py:

from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

DATABASE_URL = "sqlite:///./todos.db"

engine = create_engine(DATABASE_URL, connect_args={"check_same_thread": False})
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declarative_base()

Create the file app/models.py:

from sqlalchemy import Column, Integer, String, Boolean
from .database import Base

class Todo(Base):
    __tablename__ = "todos"

    id = Column(Integer, primary_key=True, index=True)
    title = Column(String, index=True)
    description = Column(String, default="")
    completed = Column(Boolean, default=False)

Create app/main.py with the FastAPI app, including these endpoints:

GET /todos — list all todos
POST /todos — create a new todo
PUT /todos/{id} — update a todo
DELETE /todos/{id} — delete a todo

The app should read $API_HOST and $API_PORT from the environment for the server bind address.

Add the project conventions to AGENTS.md at the root (Codex reads AGENTS.md for persistent project context).

Test the API:

curl http://localhost:8000/todos

curl -X POST http://localhost:8000/todos -H "Content-Type: application/json" -d '{"title": "Buy milk", "completed": false}'

For each endpoint, run a quick smoke test to make sure it returns 200.

Notes

Keep it simple, no auth needed
Use SQLite so there's no external database dependency
Add a .env with API_HOST=0.0.0.0 and API_PORT=8000

View source ↗

File metadata

name: python-fastapi-todo-app
description: "Creates a simple Todo REST API with FastAPI, SQLite, and basic CRUD operations. Use when the user asks to create a todo app, task manager API, or a simple Python REST API with create/read/update/delete endpoints."
metadata:
  converted-from: claude-code
  converter-version: "2.2"
  codex-compat: ">=0.98.0"

View original text

---
name: python-fastapi-todo-app
description: "Creates a simple Todo REST API with FastAPI, SQLite, and basic CRUD operations. Use when the user asks to create a todo app, task manager API, or a simple Python REST API with create/read/update/delete endpoints."
metadata:
  converted-from: claude-code
  converter-version: "2.2"
  codex-compat: ">=0.98.0"
---

# Skill: Python FastAPI Todo App

> Creates a simple Todo API with FastAPI, SQLite, and basic CRUD operations.

## When to use

When the user asks to create a todo app, task manager API, or simple REST API with Python.

## Steps

First, make sure Python 3.11+ is installed. On macOS use `brew install python@3.11`, on Linux use `apt-get install python3.11`.

Create the project directory and initialize a virtual environment:

```bash
mkdir -p todo-api/app
cd todo-api
python3 -m venv venv
source venv/bin/activate
```

Install the dependencies:

```bash
pip install fastapi uvicorn sqlalchemy
```

Create the file `app/database.py`:

```python
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

DATABASE_URL = "sqlite:///./todos.db"

engine = create_engine(DATABASE_URL, connect_args={"check_same_thread": False})
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declarative_base()
```

Create the file `app/models.py`:

```python
from sqlalchemy import Column, Integer, String, Boolean
from .database import Base

class Todo(Base):
    __tablename__ = "todos"

    id = Column(Integer, primary_key=True, index=True)
    title = Column(String, index=True)
    description = Column(String, default="")
    completed = Column(Boolean, default=False)
```

Create `app/main.py` with the FastAPI app, including these endpoints:

- `GET /todos` — list all todos
- `POST /todos` — create a new todo
- `PUT /todos/{id}` — update a todo
- `DELETE /todos/{id}` — delete a todo

The app should read `$API_HOST` and `$API_PORT` from the environment for the server bind address.

Add the project conventions to `AGENTS.md` at the root (Codex reads `AGENTS.md` for persistent project context).

Test the API:

```bash
curl http://localhost:8000/todos
```

```bash
curl -X POST http://localhost:8000/todos -H "Content-Type: application/json" -d '{"title": "Buy milk", "completed": false}'
```

For each endpoint, run a quick smoke test to make sure it returns 200.

## Notes

- Keep it simple, no auth needed
- Use SQLite so there's no external database dependency
- Add a `.env` with `API_HOST=0.0.0.0` and `API_PORT=8000`

Review the source

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Review before install: Avoid automatic install

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution

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Source & trust

IndexedAI Reviewed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

License: MIT
Version: 1.0.0
Last GitHub push: Sep 8, 2026
Registry updated: Sep 8, 2026
Instruction path: examples/codex-output/SKILL.md @ 3d892a96dfe1

Version reported in registry metadata; check source releases before relying on it.

Quality

64/100

Promising

Trust

60/100

Sandbox only

Audit

75/100

Needs review

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More details

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Source: andersonamaral2/Claude-Code-to-Deep-Agents-Skills-Converter
Indexed by: OpenAgentSkill community index

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