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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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Price unconfirmed★ 57 GitHub starsRegistry updated · Oct 2, 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 (Cursor reads AGENTS.md and .cursor/rules/ 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"

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"
---

# 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 (Cursor reads `AGENTS.md` and `.cursor/rules/` 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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Source needs review

The tracked source changed or could not be synchronized. Review the current source before installing.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
The SKILL.md does not provide the actual code for app/main.py, only a list of endpoints. This leaves a critical part of the implementation unspecified.
The skill does not include a command to run the FastAPI server (e.g., uvicorn), only curl tests, which may confuse agents on how to start the app.
The instruction to 'Add the project conventions to AGENTS.md' is vague; it does not specify what conventions should be added or provide an example.
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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Source & usage notes

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Source repository: andersonamaral2/Claude-Code-to-Deep-Agents-Skills-Converter
License: MIT
Version: Unknown
Last GitHub push: Sep 22, 2026
Registry updated: Oct 2, 2026
Instruction path: examples/cursor-output/python-fastapi-todo-app/SKILL.md @ 9f454d91ea79

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

Quality

64/100

Promising

Trust

51/100

Do not auto-install

Audit

71/100

Needs review

Open full audit View eval report

Dependency or permission surface needs review
Permission surface may require sandboxing
The SKILL.md does not provide the actual code for app/main.py, only a list of endpoints. This leaves a critical part of the implementation unspecified.
The skill does not include a command to run the FastAPI server (e.g., uvicorn), only curl tests, which may confuse agents on how to start the app.
The instruction to 'Add the project conventions to AGENTS.md' is vague; it does not specify what conventions should be added or provide an example.
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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python-fastapi-todo-app

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Price unconfirmed★ 57 GitHub starsRegistry updated · Oct 2, 2026agent-skill

Overview

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Source documentation, not instructions for this website. Review permissions before running any commands.

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 (Cursor reads AGENTS.md and .cursor/rules/ 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"

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"
---

# 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 (Cursor reads `AGENTS.md` and `.cursor/rules/` 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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Source needs review

The tracked source changed or could not be synchronized. Review the current source before installing.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
The SKILL.md does not provide the actual code for app/main.py, only a list of endpoints. This leaves a critical part of the implementation unspecified.
The skill does not include a command to run the FastAPI server (e.g., uvicorn), only curl tests, which may confuse agents on how to start the app.
The instruction to 'Add the project conventions to AGENTS.md' is vague; it does not specify what conventions should be added or provide an example.
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

Open full audit

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Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & usage notes

Indexed

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

Source repository: andersonamaral2/Claude-Code-to-Deep-Agents-Skills-Converter
License: MIT
Version: Unknown
Last GitHub push: Sep 22, 2026
Registry updated: Oct 2, 2026
Instruction path: examples/cursor-output/python-fastapi-todo-app/SKILL.md @ 9f454d91ea79

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

Quality

64/100

Promising

Trust

51/100

Do not auto-install

Audit

71/100

Needs review

Open full audit View eval report

Dependency or permission surface needs review
Permission surface may require sandboxing
The SKILL.md does not provide the actual code for app/main.py, only a list of endpoints. This leaves a critical part of the implementation unspecified.
The skill does not include a command to run the FastAPI server (e.g., uvicorn), only curl tests, which may confuse agents on how to start the app.
The instruction to 'Add the project conventions to AGENTS.md' is vague; it does not specify what conventions should be added or provide an example.
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: —
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Indexed by: OpenAgentSkill community index

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Skill: Python FastAPI Todo App

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Skill: Python FastAPI Todo App

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