python-development-python-scaffold
Helps your agent create the initial structure for production-ready Python projects. It uses modern tools to organize code and add type hints.
What it does
This agent creates the basic structure for a Python project. It organizes the necessary files and folders to start developing, whether for building a website, a command-line tool, or a library.
When to use it
- ✓When starting a new Python project.
- ✓When you need an organized structure for your code.
- ✓To ensure your project follows development best practices.
Example of what to ask your AI
“Create a FastAPI project for a web API.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The agent analyzes the project type you want (API, website, library, etc.) and generates the corresponding folder and file structure. It also configures essential development tools.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill python-development-python-scaffoldOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/python-development-python-scaffold/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Python Project Scaffolding
You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hints, testing setup, and configuration following current best practices.
Use this skill when
- Working on python project scaffolding tasks or workflows
- Needing guidance, best practices, or checklists for python project scaffolding
Do not use this skill when
- The task is unrelated to python project scaffolding
- You need a different domain or tool outside this scope
Context
The user needs automated Python project scaffolding that creates consistent, type-safe applications with proper structure, dependency management, testing, and tooling. Focus on modern Python patterns and scalable architecture.
Requirements
$ARGUMENTS
Instructions
1. Analyze Project Type
Determine the project type from user requirements:
- FastAPI: REST APIs, microservices, async applications
- Django: Full-stack web applications, admin panels, ORM-heavy projects
- Library: Reusable packages, utilities, tools
- CLI: Command-line tools, automation scripts
- Generic: Standard Python applications
2. Initialize Project with uv
# Create new project with uv
uv init <project-name>
cd <project-name>
# Initialize git repository
git init
echo ".venv/" >> .gitignore
echo "*.pyc" >> .gitignore
echo "__pycache__/" >> .gitignore
echo ".pytest_cache/" >> .gitignore
echo ".ruff_cache/" >> .gitignore
# Create virtual environment
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
3. Generate FastAPI Project Structure
fastapi-project/
├── pyproject.toml
├── README.md
├── .gitignore
├── .env.example
├── src/
│ └── project_name/
│ ├── __init__.py
│ ├── main.py
│ ├── config.py
│ ├── api/
│ │ ├── __init__.py
│ │ ├── deps.py
│ │ ├── v1/
│ │ │ ├── __init__.py
│ │ │ ├── endpoints/
│ │ │ │ ├── __init__.py
│ │ │ │ ├── users.py
│ │ │ │ └── health.py
│ │ │ └── router.py
│ ├── core/
│ │ ├── __init__.py
│ │ ├── security.py
│ │ └── database.py
│ ├── models/
│ │ ├── __init__.py
│ │ └── user.py
│ ├── schemas/
│ │ ├── __init__.py
│ │ └── user.py
│ └── services/
│ ├── __init__.py
│ └── user_service.py
└── tests/
├── __init__.py
├── conftest.py
└── api/
├── __init__.py
└── test_users.py
pyproject.toml:
[project]
name = "project-name"
version = "0.1.0"
description = "FastAPI project description"
requires-python = ">=3.11"
dependencies = [
"fastapi>=0.110.0",
"uvicorn[standard]>=0.27.0",
"pydantic>=2.6.0",
"pydantic-settings>=2.1.0",
"sqlalchemy>=2.0.0",
"alembic>=1.13.0",
]
[project.optional-dependencies]
dev = [
"pytest>=8.0.0",
"pytest-asyncio>=0.23.0",
"httpx>=0.26.0",
"ruff>=0.2.0",
]
[tool.ruff]
line-length = 100
target-version = "py311"
[tool.ruff.lint]
select = ["E", "F", "I", "N", "W", "UP"]
[tool.pytest.ini_options]
testpaths = ["tests"]
asyncio_mode = "auto"
src/project_name/main.py:
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from .api.v1.router import api_router
from .config import settings
app = FastAPI(
title=settings.PROJECT_NAME,
version=settings.VERSION,
openapi_url=f"{settings.API_V1_PREFIX}/openapi.json",
)
app.add_middleware(
CORSMiddleware,
allow_origins=settings.ALLOWED_ORIGINS,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
app.include_router(api_router, prefix=settings.API_V1_PREFIX)
@app.get("/health")
async def health_check() -> dict[str, str]:
return {"status": "healthy"}
4. Generate Django Project Structure
# Install Django with uv
uv add django django-environ django-debug-toolbar
# Create Django project
django-admin startproject config .
python manage.py startapp core
pyproject.toml for Django:
[project]
name = "django-project"
version = "0.1.0"
requires-python = ">=3.11"
dependencies = [
"django>=5.0.0",
"django-environ>=0.11.0",
"psycopg[binary]>=3.1.0",
"gunicorn>=21.2.0",
]
[project.optional-dependencies]
dev = [
"django-debug-toolbar>=4.3.0",
…
FAQ
What types of projects can it create?
It can create projects for web APIs with FastAPI, full-stack web applications with Django, reusable libraries, command-line tools (CLI), and generic Python projects.
What are 'type hints'?
They are annotations in the code that indicate the expected data type (like text or numbers), helping to prevent errors and making the code easier to understand.
What is 'scaffolding'?
It's the process of automatically generating the basic structure of a project, saving time and ensuring conventions are followed.
Details
Original description by the author
You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint
Popularity
- GitHub stars
- 48k
- Ranking position
- #3931
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
More skills from this repository
00-andruia-consultant
Helps your agent start or improve AI projects. It analyzes code, suggests tools, and creates action plans in Spanish.
sickn33/agentic-awesome-skills
007
Lets your agent perform security audits and threat modeling. It's useful for protecting projects against attacks and vulnerabilities.
sickn33/agentic-awesome-skills
10-andruia-skill-smith
Helps your agent create or improve AI tools. It defines how tools work, writes documentation, and validates the structure.
sickn33/agentic-awesome-skills
20-andruia-niche-intelligence
Lets your agent create a summary about a specific industry. It's useful for understanding the context, rules, usage patterns, and risks of a project, using reliable sources.
sickn33/agentic-awesome-skills
Similar skills
api-connector-builder
Has your agent build new API connections following the existing pattern. Use when you need to add one more integration without creating a new way of doing things.
affaan-m/ECC
api-design
Helps your agent design REST APIs following best practices. It's useful for defining how APIs communicate, how errors are shown, and how to organize data.
affaan-m/ECC
backend-patterns
Helps your agent with server-side architecture patterns and database optimization. It's useful for building or reviewing code that runs on the server.
affaan-m/ECC