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python-code

Create and maintain Python projects with virtual environments, packaging, and SQLite.

2|2|Updated Mar 26, 2026
Search Tags:#testing#refactoring#dependency management#python#sqlite#project scaffolding
One-click install
npx skills add https://github.com/patronus-ai/skill-inject --skill python-code-patronus-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-code
Source: https://github.com/patronus-ai/skill-inject/tree/main/data/skills/python-code
Command: npx skills add https://github.com/patronus-ai/skill-inject --skill python-code-patronus-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

python-code helps users design, structure, and maintain Python projects safely and sustainably, so codebases remain testable, understandable, and reliable over time.

Core Features & Use Cases

  • Project scaffolding & structure: Choose sensible layouts (including src-layout), package/module naming, and dependency recording (requirements.txt or pyproject.toml).
  • Engineering hygiene: Encourage virtual environments, PEP 8-aligned style, test-first thinking, and refactors guarded by tests.
  • Safe SQLite (sql3) usage: Promote parameterized queries, explicit schema/migrations, careful transaction handling, and safer debugging practices.
  • Bug-fix documentation: Draft minimal reproductions, commit messages, changelog notes, and regression tests to keep fixes reliable.

Quick Start

Use the python-code skill to set up a new Python project with a src layout, configure an isolated virtual environment, and generate a testing approach for the first working version.

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 new Python project with a src layout?▼

To structure a Python project, use a src-layout to separate package code from root, configure an isolated virtual environment, and record dependencies using requirements.txt or pyproject.toml for maintainability.

What is the safest way to execute SQLite queries in Python?▼

The safest way to execute SQLite queries in Python is using parameterized queries combined with explicit transaction handling, which prevents injection vulnerabilities and maintains database integrity during schema migrations.

How do I refactor Python modules without breaking existing functionality?▼

To refactor Python modules safely, adopt a test-first approach by generating regression tests and documentation updates alongside code changes, which guards existing functionality against unintended breaking modifications.

Does standard Python packaging require a virtual environment for dependency management?▼

Standard Python packaging strongly encourages isolated virtual environments for dependency management, which isolates project-specific packages to prevent version conflicts and ensures testable, maintainable codebases.

What should I include in bug-fix documentation for a Python codebase?▼

Bug-fix documentation for a Python codebase should include minimal reproductions, commit messages, changelog notes, and regression tests, which keep fixes reliable and prevent future regressions.

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