commit

Generate Conventional Commits messages by analyzing code diffs.

10|6|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/genlayerlabs/skills --skill commit-genlayerlabs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: commit
Source: https://github.com/genlayerlabs/skills/tree/main/.claude/skills/commit
Command: npx skills add https://github.com/genlayerlabs/skills --skill commit-genlayerlabs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of standardized, semantic Git commits, ensuring consistency and clarity in your project's history.

Core Features & Use Cases

  • Conventional Commits: Generates commits adhering to the Conventional Commits specification.
  • Intelligent Staging: Guides users on staging relevant files and avoids committing secrets.
  • Rule Enforcement: Enforces project-specific rules like no AI attribution, ticket references, or emojis.
  • Use Case: When you've made several changes and need to commit them, this skill analyzes the diff, suggests an appropriate commit type (feat, fix, etc.) and scope, and crafts a concise message, all while ensuring it meets project standards.

Quick Start

Use the commit skill to create a git commit with an intelligently generated 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 git diffs?

Conventional commit messages are generated by analyzing git diffs to suggest an appropriate commit type, scope, and concise description. This process enforces project-specific rules like title length, ticket references, and the absence of AI attribution or emojis.

Can I enforce project-specific rules like ticket references and no emojis in git commits?

Yes, project-specific rules for git commits are enforced during message generation. This includes enforcing title length, specificity, requiring ticket references, and strictly prohibiting AI attribution and emojis in the final commit history.

What is the best way to stage files for a git commit without including secrets?

Intelligent staging guides you by analyzing your changes and recommending relevant files to stage. This process includes safety checks designed to prevent the accidental commitment of secrets and helps avoid common git pitfalls.

How does conventional commit analysis handle title length and specificity?

Conventional commit analysis enforces title length and specificity by evaluating the generated message against project standards. It ensures the commit type, scope, and concise description meet defined rules before finalizing the git commit.

Does this git commit workflow require any external dependencies?

No external dependencies are required to use this git commit workflow. The skill operates independently using its internal scripts and references to analyze code diffs and generate standardized commit messages.

Why should I use automated conventional commits instead of writing git messages manually?

Automated conventional commits solve the problem of inconsistent project history by standardizing semantic messages. It analyzes code diffs to intelligently suggest commit types and scopes while enforcing project-specific rules effortlessly.