commit

Generate conventional commit messages from staged code changes with pre-commit checks.

1|Updated Jan 26, 2026

Search Tags:#code quality #automation #git #commit #conventional commits #pre-commit

Ready to run

npx skills add https://github.com/manastalukdar/claude-devstudio --skill commit-manastalukdar

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: commit
Source: https://github.com/manastalukdar/claude-devstudio/tree/main/skills/commit
Command: npx skills add https://github.com/manastalukdar/claude-devstudio --skill commit-manastalukdar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the creation of meaningful conventional commits by analyzing code changes and integrating pre-commit quality checks, ensuring consistency and reducing manual effort.

Core Features & Use Cases

Automated Commit Message Generation: Analyzes staged changes to suggest conventional commit types (feat, fix, chore, etc.) and scopes.
Pre-Commit Quality Assurance: Verifies that builds, tests, and linters pass before committing.
Token Optimization: Employs strategies like early exits and grep-based analysis to minimize token usage.
Use Case: After making several code changes, you can run this skill to automatically generate a well-formatted commit message like feat(auth): implement user login endpoint and ensure your tests pass before the commit is finalized.

Quick Start

Run the commit skill to analyze your staged changes and generate a conventional commit message.

Frequently Asked Questions about commit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate conventional commit messages automatically from staged changes?▼

Automated conventional commit generation works by analyzing your staged Git changes to detect types and scopes, producing a well-formatted message like `feat(auth): implement endpoint` without manual effort.

Can I run pre-commit checks for builds, tests, and linters before finalizing a commit?▼

Yes, pre-commit quality assurance is supported. The skill verifies that your builds, tests, and linters pass by running automated checks before the commit message is finalized and the Git commit is executed.

What is the best way to automate type and scope detection for conventional commits?▼

Automating type and scope detection is best handled by analyzing staged code diffs with bash commands and grep patterns, which identifies the appropriate conventional commit category like `feat` or `fix` based on the actual changes.

Does this automated commit tool work without external dependencies?▼

Yes, the skill operates without external dependencies. It relies on internal scripts using standard bash commands and grep patterns to analyze changes and perform pre-commit checks, requiring no additional software installations.

How does token optimization work when analyzing code changes for commit messages?▼

Token optimization during code analysis is achieved by employing strategies like early exits and grep-based pattern matching to minimize token usage, ensuring efficient processing of staged changes before generating the commit message.

Why should I use automated conventional commits instead of writing manual commit messages?▼

Automated conventional commits ensure consistency and reduce manual effort by analyzing code changes to suggest accurate types and scopes, while simultaneously verifying that build, test, and lint checks pass before committing.