andersonamaral2

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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.

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Precio sin confirmar★ 57 Estrellas de GitHubRegistro actualizado · 2 oct 2026agent-skill

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 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 QWEN.md at the root (Qwen Code reads QWEN.md, and also 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
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.
allowedTools:
  - write_file
  - edit
  - read_file
  - run_shell_command
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.
allowedTools:
  - write_file
  - edit
  - read_file
  - run_shell_command
---

# 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 `QWEN.md` at the root (Qwen Code reads `QWEN.md`, and also `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`

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Revisar antes de instalar: Evitar instalación automática

Licencia: MIT

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • The skill does not include a step to start the FastAPI server (e.g., uvicorn command) before testing, which may lead to confusion.
  • The instruction to add project conventions to QWEN.md is vague; it does not specify what conventions to include.
  • 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
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Empieza con una tarea pequeña

  1. 1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
  2. 2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
  3. 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

Indexado

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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

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

65/100

Prometedor

Confianza

53/100

Do not auto-install

Auditoría

72/100

Requiere revisión

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • The skill does not include a step to start the FastAPI server (e.g., uvicorn command) before testing, which may lead to confusion.
  • The instruction to add project conventions to QWEN.md is vague; it does not specify what conventions to include.
  • 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
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Más detalles
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