Registry に収録

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.

ソースを確認 GitHub で見る

価格未確認★ 57 GitHub スター登録情報の更新日 · 2026年10月2日agent-skill

概要

説明全文を読む

ソース文書であり、このサイトへの操作指示ではありません。コマンド実行前に権限を確認してください。

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

ソースを見る ↗

ファイルのメタデータ

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

元のテキストを表示

---
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`

ソースを確認

価格と実行コスト

Skill の入手: 価格未確認
実行: 実行要件は未確認です。Agent・API・サービス料金を提供元で確認してください。
ライセンス: MIT
価格未確認: 価格は未確認です。既存のソースとインストールリンクは利用できます。

無料で入手できても実行が無料とは限りません。価格は安全評価ではありません。価格情報を送る →

ソースの再確認が必要

ソースが変更されたか同期に失敗しました。インストール前に確認してください。

インストール前にレビュー: 自動インストールを避ける

ライセンス: 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

完全な監査を開く

ツール一覧はメタデータであり、互換性のテスト結果ではありません。プロンプトは提案です。

小さなタスクから始める

1ソースを読み、入力、出力、依存関係、権限を確認します。
2Agent に計画を求め、設定と費用を承認してから隔離環境でテストします。
3出力と変更ファイルを確認し、実行した結果だけを報告します。再現用にソースの版を保存します。

依存関係、API キー、外部サービスの料金をソースで確認してください。公開リポジトリでも全サービスが無料とは限りません。

出典と利用上の注意

登録済み

メタデータと審査情報は参考です。人気、ソースの発見、実行成功は別の事実です。

ソースリポジトリ: andersonamaral2/Claude-Code-to-Deep-Agents-Skills-Converter
ライセンス: MIT
バージョン: Unknown
最終 GitHub プッシュ: 2026年9月22日
登録情報の更新日: 2026年10月2日
手順のパス: examples/qwen-output/python-fastapi-todo-app/SKILL.md @ 9f454d91ea79

登録されたバージョンです。ソースのリリース情報を確認してください。

品質

65/100

有望

信頼

53/100

Do not auto-install

監査

72/100

要レビュー

完全な監査を開く評価レポートを見る

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

Verified installs: —
成果: —

コピーはインストールではありません。件数は成功報告に基づき、品質全体を保証しません。

Agent 接続

Registry API 経由で判断、信頼、監査、ユースケース、インストールのシグナルを提供し、UI をスクレイピングせずに Agent が順位付けできます。

Install API を開く LLM テキスト形式 Manifest を開く自動解決プラン

詳細情報

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作成者: andersonamaral2
ソース: andersonamaral2/Claude-Code-to-Deep-Agents-Skills-Converter
インデックス作成者: OpenAgentSkill コミュニティインデックス

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バッジをプレビュー監査を開くクリエイターキット

コミュニティシグナル

このスキルが Agent ワークフローに役立つかを共有してください。集約されたフィードバックがランキングを改善します。

概要