python-code

Scaffold Python projects with virtual environments, src layouts, and testing practices.

90|4|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/aisa-group/skill-inject --skill python-code-aisa-group
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-code
Source: https://github.com/aisa-group/skill-inject/tree/main/data/skills/python-code
Command: npx skills add https://github.com/aisa-group/skill-inject --skill python-code-aisa-group

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps developers design, structure, and maintain Python projects robustly, guiding environment setup, packaging, SQLite usage, documentation of bug fixes, and clear commenting practices.

Core Features & Use Cases

  • Environment-first setup: Recommend virtual environments (venv/poetry) and appropriate Python versions, plus a minimal, repeatable project layout.
  • Project structure guidance: Advise on standard layouts (src/ layout or flat) and clear naming conventions for packages and modules.
  • SQLite usage and data safety: Promote safe data access with parameterized queries and lightweight schemas, plus notes on migrations and backups.
  • Documentation as part of change: Emphasize docstrings, changelog entries, and commit messaging to record rationale and changes.

Quick Start

Scaffold a minimal Python project with a src layout, a virtual environment, and a starter tests directory.

Frequently Asked Questions about python-code

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure a Python project with a src layout?

Using a src layout in Python projects separates importable package code into a `src/` directory, preventing accidental local imports during testing. This structure requires a `pyproject.toml` for packaging configuration and a root-level tests directory to ensure clean dependency isolation.

What's the best way to set up a virtual environment for Python development?

Setting up a virtual environment for Python uses `venv` or `poetry` to create an isolated workspace. This isolates project dependencies, allowing you to pin specific package versions and prevent conflicts with the system-wide Python installation during development.

How do I use SQLite safely in a Python application?

Using SQLite safely in Python requires parameterized queries to prevent SQL injection and maintain data integrity. You should design lightweight schemas, implement safe data access patterns, and establish regular backup routines to protect your database records.

When should I use a flat layout versus a src layout for a Python package?

A flat layout suits tiny scripts where simplicity is key, while a src layout is preferred for small libraries to ensure tests run against installed code. Choosing between flat and src layouts depends on project scale and the need for strict import isolation.

How do I document bug fixes and changes in a Python project?

Documenting bug fixes in a Python project involves writing clear docstrings for modules and functions, maintaining a changelog for version tracking, and using descriptive commit messaging. This practice records rationale and ensures all project modifications remain traceable.