Updated 1mo ago
by ludo-technologies
python-best-practices
Python best practices Skill for AI coding agents
30 GitHub stars (30)
+6 in 16 days
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- 4 skills (4 skills found in its SKILL.md files)
- 6 forks (6 forks)
- 1mo ago last update (Last updated 1mo ago)
Install
Skills CLI
npx skills add ludo-technologies/python-best-practices
Asks which skills and agents to install. Just one: npx skills add ludo-technologies/python-best-practices --skill coding-standards — add -g for every project.
Claude Code
git clone https://github.com/ludo-technologies/python-best-practicescp -r "python-best-practices/skills/coding-standards" ~/.claude/skills/
Copies the coding-standards skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add ludo-technologies/python-best-practices
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
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coding-standards
Python coding standards and best practices covering error handling, performance optimization, async patterns, SOLID design principles, documentation, data validation, and object-oriented programming. Use when writing, reviewing, or refactoring Python code, or when the user asks about Python style, design, or best practices.
skills/coding-standards/SKILL.md on GitHub (opens in a new tab) -
data-science
NumPy and pandas best practices for data science and ML code covering vectorization, DataFrame indexing and mutation under Copy-on-Write, dtypes, schema validation with pandera, reproducible randomness, transformation style, array typing, and numeric testing. Use when writing, reviewing, or refactoring code that uses numpy, pandas, DataFrames, ndarrays, Jupyter notebooks, or data pipelines, or wh…
skills/data-science/SKILL.md on GitHub (opens in a new tab) -
testing
Python test-writing best practices covering test structure, fixtures, parametrization, and mocking with pytest. Use when writing, reviewing, or refactoring tests, adding test coverage, or working in tests directories and conftest.py.
skills/testing/SKILL.md on GitHub (opens in a new tab) -
tooling
Python development tooling configuration and best practices for ruff, mypy, pytest, pyscn, and uv. Use when setting up a Python project, configuring linters, formatters, type checkers, or test frameworks, or when editing pyproject.toml or tool config files.
skills/tooling/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.
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