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Python Formatter Advisor

  • 151 installs
  • 2 repo stars
  • Updated January 25, 2026
  • jorgealves/agent_skills

Recommend Python formatting tools and rules—Black, Ruff, isort, line length, and import style—so teams standardize style before merge, CI, and release.

About

Advises on Python formatting and lint tooling choices, including Black, Ruff, and isort conventions, so teams enforce consistent style through review and CI before shipping Python codebases.

  • Formatter and linter selection
  • Black, Ruff, and isort guidance
  • Line length and import rules
  • CI-friendly style policies
  • Team consistency recommendations

Python Formatter Advisor by the numbers

  • 151 all-time installs (skills.sh)
  • +8 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #80 of 290 Python skills by installs in the Skillselion catalog
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/jorgealves/agent_skills --skill python-formatter-advisor

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Listed on Skillselion
Installs151
repo stars2
Last updatedJanuary 25, 2026
Repositoryjorgealves/agent_skills

What it does

Recommend Python formatting tools and rules—Black, Ruff, isort, line length, and import style—so teams standardize style before merge, CI, and release.

Files

SKILL.mdMarkdownGitHub ↗

Python Code Formatter Advisor

Purpose and Intent

Enforce Pythonic standards using Black, Isort, and Flake8. Use to ensure consistency across large Python codebases and team environments.

When to Use

  • Project Setup: When initializing a new Python project.
  • Continuous Integration: As part of automated build and test pipelines.
  • Legacy Refactoring: When updating older Python codebases to modern standards.

When NOT to Use

  • Non-Python Projects: This tool is specialized for the Python ecosystem.

Error Conditions and Edge Cases

  • Missing Requirements: If the project lacks a requirements.txt or pyproject.toml.
  • Incompatible Versions: If the project uses a Python version not supported by the tools.

Security and Data-Handling Considerations

  • All analysis is performed locally.
  • No source code or credentials are ever transmitted externally.

Related skills

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