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bahayonghang
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git-commit

Analyze staged changes and draft Conventional Commits with safety scans.

16|1|Updated Jan 2, 2026
Search Tags:#automation#git#audit#version-control#conventional-commits#agent-workflow
One-click install
npx skills add https://github.com/bahayonghang/my-ai-cli-toolkit --skill git-commit-bahayonghang
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: git-commit
Source: https://github.com/bahayonghang/my-ai-cli-toolkit/tree/main/skills/git-github-collaboration/git-commit
Command: npx skills add https://github.com/bahayonghang/my-ai-cli-toolkit --skill git-commit-bahayonghang

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill solves the challenge of maintaining a clean, consistent, and audit-ready Git history when working with AI agents, preventing messy commits and ensuring compliance with repository conventions.

Core Features & Use Cases

  • Atomic Commit Orchestration: Automatically plans and executes commits based on staged or working-tree changes, ensuring atomic boundaries.
  • Agent-Aware Metadata: Injects structured trailers like Agent-Task, Agent-Model, and audit-ready provenance markers, while enforcing Why-line requirements for critical changes.
  • Safety & Compliance: Performs pre-commit safety scans for secrets and large files, respects repository-specific commitlint rules, and handles complex scenarios like reformatting hooks or checkpoint-based workflows.

Quick Start

Use the git-commit skill to analyze my staged changes and draft a conventional commit message following the repository's established history.

Frequently Asked Questions about git-commit

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

FAQPage Schema
How do I automate Conventional Commits for agent-based workflows?▼

You can automate Conventional Commits by analyzing staged or working-tree changes against repository-specific conventions, enforcing Why-line requirements, and injecting agent-aware metadata like Agent-Task and Agent-Model trailers for audit trails.

What is atomic commit orchestration in version control?▼

Atomic commit orchestration plans and executes commits based on staged or working-tree changes, ensuring atomic boundaries to maintain a clean, audit-ready Git history when working with AI agents.

How do I prevent AI agents from committing secrets or large binary artifacts?▼

To prevent committing secrets or large files, pre-commit safety scans are performed automatically to detect and block restricted artifacts before the version control history is updated.

Does the git-commit automation work with custom commitlint rules?▼

Yes, the automation respects repository-specific commitlint rules and handles complex scenarios such as reformatting hooks or checkpoint-based workflows to ensure compliance with established conventions.

Do I need python3 to orchestrate atomic Conventional Commits?▼

Yes, python3 is required as a dependency to run the scripts that orchestrate atomic change management and apply structured commit messages with agent-aware provenance markers.

What's the best way to enforce structured commit messages with audit trails?▼

The best way to enforce structured messages is by orchestrating atomic Conventional Commits that inject structured trailers like Agent-Task and audit-ready provenance markers while satisfying compliance constraints.

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