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python-fastapi-todo-app
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.
Resumen
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.
Leer documentación completa
Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.
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 todosPOST /todos— create a new todoPUT /todos/{id}— update a todoDELETE /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
.envwithAPI_HOST=0.0.0.0andAPI_PORT=8000
Metadatos del archivo
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"
Ver texto original
---
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`
Revisar el código fuente
Precio y costes de ejecución
- Obtener el skill
- Precio sin confirmar
- Ejecutarlo
- Requisitos sin confirmar. Consulta los costes del agente, API y servicios en la fuente.
- Licencia
- MIT
- Precio sin confirmar
- No hemos confirmado el precio. Los enlaces existentes al código y a la instalación siguen disponibles.
Obtener gratis no significa ejecutar gratis. El precio no es una evaluación de seguridad. Enviar información de precio →
La fuente requiere revisión
La fuente cambió o no pudo sincronizarse. Revísala antes de instalar.
Revisar antes de instalar: Evitar instalación automática
Licencia: MIT
- 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
- GitHub adoption: 57 GitHub stars
- Stars/forks activity: 57 stars, 8 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.
Empieza con una tarea pequeña
- 1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
- 2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
- 3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.
Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.
Fuente y notas de uso
Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.
- Repositorio fuente
- andersonamaral2/Claude-Code-to-Deep-Agents-Skills-Converter
- Licencia
- MIT
- Versión
- Unknown
- Último push de GitHub
- 22 sept 2026
- Registro actualizado
- 2 oct 2026
- Ruta de instrucciones
- examples/codex-output/SKILL.md @ 9f454d91ea79
Versión declarada en el registro; consulta las versiones de la fuente.
Calidad
64/100
Prometedor
Confianza
60/100
Solo sandbox
Auditoría
75/100
Requiere revisión
- 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
- GitHub adoption: 57 GitHub stars
- Stars/forks activity: 57 stars, 8 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Verified installs
- —
- Resultados
- —
Copiar no es instalar. Los recuentos requieren un informe de instalación correcta, no garantizan calidad general.
Acceso para agentes
La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.
Más detalles
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