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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.

Quelle prüfen Auf GitHub ansehen

Preis unbestätigt★ 57 GitHub-StarsVerzeichnis aktualisiert · 2. Okt. 2026agent-skill

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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

Quelle ansehen ↗

Dateimetadaten

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"

Originaltext anzeigen

---
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`

Quelle prüfen

Preis und Betriebskosten

Skill beziehen: Preis unbestätigt
Ausführen: Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
Lizenz: MIT
Preis unbestätigt: Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.

Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →

Quelle erneut prüfen

Die Quelle wurde geändert oder konnte nicht synchronisiert werden. Vor der Installation prüfen.

Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: 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

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Mit einer kleinen Aufgabe beginnen

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Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

Quelle und Nutzungshinweise

Erfasst

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository: andersonamaral2/Claude-Code-to-Deep-Agents-Skills-Converter
Lizenz: MIT
Version: Unknown
Letzter GitHub-Push: 22. Sept. 2026
Verzeichnis aktualisiert: 2. Okt. 2026
Anleitungspfad: examples/codex-output/SKILL.md @ 9f454d91ea79

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

64/100

Vielversprechend

Vertrauen

60/100

Nur Sandbox

Audit

75/100

Prüfung nötig

Vollständiges Audit öffnen Eval-Bericht ansehen

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: —
Ergebnisse: —

Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.

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Weitere Details

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Ersteller: andersonamaral2
Quelle: andersonamaral2/Claude-Code-to-Deep-Agents-Skills-Converter
Indexiert von: OpenAgentSkill Community-Index

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