How does this skill improve my commit history?

It enforces the Conventional Commits standard and atomic change patterns, ensuring every commit is a single, logical, and testable unit that is easy to audit.

Which merge strategy does the Git Mastery skill recommend?

It uses a decision tree: Rebase for short-lived atomic commits, Squash for experimental/messy history, and Merge for preserving context in multi-author PRs.

Does it support branch protection and PR workflows?

Absolutely. It defines rules for short-lived branches, mandatory CI passes, and CODEOWNERS integration to ensure code quality before merging to main.

Can this skill help optimize large repositories?

Yes, it provides specific configurations for core.commitGraph, partial clones (blob:none), and Git LFS to maintain performance in massive codebases.

Git Mastery

Name: Git Mastery
Author: phrazzld

byphrazzld

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개발자 도구

Enforces professional Git workflows and commit standards to ensure clean, maintainable, and distributed-friendly repository histories.

소개

Git Mastery is a specialized skill for Claude Code designed to automate the enforcement of high-quality version control practices. It provides rigorous guidance on atomic and conventional commits, branch naming conventions, and algorithmic merge strategies to maintain a linear and readable project history. This skill is essential for teams looking to eliminate messy 'WIP' commits, optimize large repository performance through partial clones, and streamline the pull request process with automated quality gates and distributed-first development patterns.

주요 기능

Enforcement of Conventional Commits (feat, fix, refactor) for automated changelogs.
Anti-pattern detection to prevent mixed commits and long-lived branch stagnation.
2 GitHub stars
Algorithmic merge strategy selection based on branch age and author count.
Logic for atomic changes to ensure every commit is independently buildable and testable.
Performance optimization for large repositories using commit-graphs and sparse-checkouts.

사용 사례

Resolving complex merge conflicts using distributed, async-friendly resolution patterns.
Setting up high-velocity CI/CD pipelines with automated PR quality gates.
Standardizing commit history and branch naming across distributed engineering teams.

소개

주요 기능

Enforcement of Conventional Commits (feat, fix, refactor) for automated changelogs.
Anti-pattern detection to prevent mixed commits and long-lived branch stagnation.
2 GitHub stars
Algorithmic merge strategy selection based on branch age and author count.
Logic for atomic changes to ensure every commit is independently buildable and testable.
Performance optimization for large repositories using commit-graphs and sparse-checkouts.

사용 사례

Resolving complex merge conflicts using distributed, async-friendly resolution patterns.
Setting up high-velocity CI/CD pipelines with automated PR quality gates.
Standardizing commit history and branch naming across distributed engineering teams.