Does this skill follow the Conventional Commits standard?

Absolutely. It generates messages following the 'emoji type: description' format, ensuring your git log is both human-readable and machine-parseable.

How does it handle multiple changes in one go?

The skill performs a diff analysis to see if multiple features or fixes are present. If the changes are too broad, it will recommend splitting them into atomic commits to follow best practices.

Which programming languages are supported by this skill?

The skill includes specialized validation and detection logic for Java (Maven/Gradle), Python (Ruff/Black/Pytest), React/Node.js (ESLint/Prettier), and various documentation formats.

Can I bypass the pre-commit checks?

Yes, the skill supports flags like --no-verify to skip all checks or --skip-tests to bypass only the testing phase while still running linters.

Professional Git Commit Workflow

Name: Professional Git Commit Workflow
Author: talent-factory

bytalent-factory

Productivity & Workflow

Automates standardized Git commits with multi-language validation, staging analysis, and emoji-based conventional commit messages.

About

This skill streamlines the development lifecycle by automating the entire Git commit process within Claude Code. It intelligently detects project environments—including Java, Python, React, and Documentation—to run relevant pre-commit checks like linting, testing, and builds. By analyzing diffs and staging areas, it recommends atomic commits and generates semantic, emoji-enhanced commit messages that follow industry best practices. It is an essential utility for developers who want to maintain a clean, professional repository history while ensuring code quality before every push.

Key Features

0 GitHub stars
Emoji-based Conventional Commit generation for standardized repository history.
Automatic project detection for Java, Python, React, and Markdown environments.
Intelligent diff analysis to identify and suggest splitting non-atomic changes.
Integrated pre-commit validation using tools like Ruff, ESLint, Maven, and Pytest.
Automated staging management with support for force-push and skip-validation flags.

Use Cases

Simplifying the workflow of creating descriptive, atomic commits during complex feature development.
Preventing broken builds or linting errors from being committed to the codebase.
Enforcing consistent commit message standards across polyglot engineering teams.

About

Key Features

0 GitHub stars
Emoji-based Conventional Commit generation for standardized repository history.
Automatic project detection for Java, Python, React, and Markdown environments.
Intelligent diff analysis to identify and suggest splitting non-atomic changes.
Integrated pre-commit validation using tools like Ruff, ESLint, Maven, and Pytest.
Automated staging management with support for force-push and skip-validation flags.

Use Cases

Simplifying the workflow of creating descriptive, atomic commits during complex feature development.
Preventing broken builds or linting errors from being committed to the codebase.
Enforcing consistent commit message standards across polyglot engineering teams.