ll-commit

Create git commits after user approval and strip AI attribution.

7|2|Updated Jan 3, 2026
One-click install
npx skills add https://github.com/BrennonTWilliams/little-loops --skill ll-commit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ll-commit
Source: https://github.com/BrennonTWilliams/little-loops/tree/main/skills/ll-commit
Command: npx skills add https://github.com/BrennonTWilliams/little-loops --skill ll-commit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the issue of cluttered git commit histories caused by automated AI-generated messages, ensuring that commits remain clean, professional, and focused on the actual code changes.

Core Features & Use Cases

  • User-Approved Commits: Ensures every commit is reviewed and approved by the user before being finalized.
  • Clean Attribution: Strips away Claude or other AI-specific attribution, maintaining a standard developer identity in the git log.
  • Use Case: When working on a feature branch, use this skill to finalize your changes with a clear, human-readable commit message that adheres to your project's standards without including AI-generated metadata.

Quick Start

Use the ll-commit skill to stage your current changes and create a new commit with a descriptive message.

Frequently Asked Questions about ll-commit

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

FAQPage Schema
How do I automate git commits without adding AI attribution to the commit history?

To automate git commits without AI attribution, this skill streamlines the creation process by stripping AI-specific metadata from the git log. It ensures your version control history remains clean, professional, and strictly human-centric.

Can I review and approve automated commit messages before they are finalized in git?

Yes, you can review automated commit messages before they are finalized in git. This skill requires explicit user approval for every commit, ensuring you maintain control and verify all code changes within an automated agent environment.

What is the best way to keep my git history clean when using an automated development agent?

The best way to keep your git history clean when using an automated development agent is to strip AI-specific attribution from commit metadata. This approach maintains a standard developer identity and prevents cluttered, automated messages in your project logs.

Does this automated git commit skill work without additional dependencies or components?

Yes, this automated git commit skill works without additional dependencies or components. It operates independently to stage your current changes and create new commits with descriptive, human-readable messages tailored to your software development workflow.

Why should I remove AI-generated metadata from my version control history?

You should remove AI-generated metadata from your version control history to ensure logs remain focused on actual code changes. Stripping Claude or other AI attribution maintains a standard developer identity and adheres to professional project maintenance standards.

How to stage changes and create a new commit with a descriptive message using an agent?

To stage changes and create a new commit using an agent, this skill automates the workflow while requiring your approval. It finalizes your feature branch updates with a clear, human-readable commit message without including AI-generated metadata.