Can I use this for non-conventional commit messages?

This specific skill is strictly designed to follow the Conventional Commits 1.0.0 specification to ensure repository consistency and machine readability.

How does it handle very large code changes?

For diffs exceeding 100 lines or 5 files, it utilizes parallel sub-agents to perform semantic analysis and recommends splitting the changes into multiple atomic commits.

Which languages are supported for automatic linting?

The skill includes pre-tool hooks for Node.js (npm/yarn/pnpm/bun), Python (ruff/flake8), Go, Ruby (RuboCop), and Makefiles.

Is the pre-commit linting mandatory?

If a supported linter is detected, the skill will block the commit if linting fails to ensure code quality, though it proceeds if no linter is configured.

Does this skill support breaking changes?

Yes, it automatically detects breaking changes such as removed exports or modified API signatures and appends the required '!' and 'BREAKING CHANGE' footer.

Conventional Git Commits

Name: Conventional Git Commits
Author: mgiovani

bymgiovani

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개발자 도구

Generates standardized conventional commit messages and manages git workflows with automated quality gates and parallel diff analysis.

This skill streamlines the version control process by automating the generation of Conventional Commits while ensuring high code quality through integrated pre-commit linting for Node.js, Python, Go, and Ruby. It excels at handling complex repository changes by spawning parallel sub-agents to analyze semantic shifts, detect breaking changes, and suggest logical commit splits, making it an essential tool for maintaining clean, readable, and professional repository histories in any AI-driven development workflow.

주요 기능

01Multi-language pre-commit linting for Node.js, Python, Go, Ruby, and Make

02Automated Conventional Commit generation following the v1.0.0 specification

03Automated breaking change detection and API modification warnings

042 GitHub stars

05Intelligent commit splitting logic for managing multi-concern changes

06Parallel semantic analysis for large diffs to ensure descriptive accuracy

사용 사례

01Automating the staging and committing process for complex code refactors

02Enforcing consistent commit message standards across a team's version history

03Preventing broken code from being committed through integrated linting gates

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add mgiovani/cc-arsenal git-commit

For use in Claude.ai and ChatGPT

Download Skill