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commit-work

gitversion controlcommitsconventional commitscode qualitystagingworkflowdeveloper tools
2.0k📄 MIT🕒 2026-03-05Source ↗

Install this skill

npx skills add softaworks/agent-toolkit

Works across Claude Code, Cursor, Codex, Copilot & Antigravity

The commit-work skill enforces disciplined version control by treating commits as meaningful units of history rather than mere save points. Instead of dumping all changes at once, the agent parses the working tree to isolate logical groupings, ensuring every commit adheres to Conventional Commits standards. It rigorously verifies the state of the repository before finalization, performing differential checks against the index to prevent the inclusion of debugging artifacts, secrets, or unintentional formatting noise. By enforcing a strict workflow that requires human-readable justifications for every hunk, it keeps repository history clean and navigable. This approach transforms a messy working directory into a sequence of atomic, reviewable updates, which minimizes merge conflicts and accelerates peer review for maintainers.

When to Use This Skill

  • Separating feature implementation from dependency updates in a single session
  • Refactoring code while ensuring tests remain in a separate, valid commit
  • Cleaning up a cluttered working tree after a long prototyping phase
  • Preparing an atomic set of commits for a complex pull request

How to Invoke This Skill

Example prompts that trigger this skill in Claude Code, Cursor, or Antigravity:

  • Commit my recent changes to the repository
  • Prepare these file modifications for a clean commit
  • Help me split my current work into logical conventional commits
  • Review and commit my current progress following standard conventions
  • Finalize the changes in my staging area with proper messages

Pro Tips

  • 💡Always use `git diff --cached` to review exactly what will be committed, ensuring no unintended changes or sensitive information slips into your repository.
  • 💡Leverage patch staging (`git add -p`) extensively when changes are mixed within files. This allows for creating highly atomic commits that are much easier to revert or cherry-pick.
  • 💡Beyond just adhering to Conventional Commits, consider adding a brief 'why' in your commit body. Explaining the reasoning behind a change significantly enhances future understanding and debugging.

What this skill does

  • Performs granular staging using patch-based selection
  • Validates commit messages against Conventional Commits formatting
  • Identifies and isolates unrelated modifications into distinct logical commits
  • Runs automated verification checks prior to finalizing commit operations
  • Detects potential security risks or unintended debug logs in staged changes

When not to use it

  • When working in a throwaway exploration branch where history cleanliness is irrelevant
  • When an immediate emergency hotfix requires skipping verification steps

Example workflow

  1. Execute git status and diff to audit modified files
  2. Apply git add -p to separate distinct logical changes
  3. Review changes using git diff --cached to confirm content
  4. Compose a Conventional Commit message detailing the intent
  5. Run relevant linting or unit tests to verify the commit state
  6. Finalize the commit and repeat for remaining unstaged hunks

Prerequisites

  • Git repository initialized locally
  • Repository guidelines for scopes and types defined

Pitfalls & limitations

  • !Over-splitting commits can lead to unnecessarily verbose git logs
  • !Ignoring test failures during the verification step can break build pipelines
  • !Misinterpreting complex hunk overlaps may result in partial code logic

FAQ

Why is Conventional Commits required?
It creates a structured, machine-readable history that simplifies changelog generation and versioning.
How does the agent handle mixed changes in one file?
It uses patch staging, allowing you to selectively add specific hunks of code while leaving unrelated modifications unstaged.
What happens if I cannot describe a commit in one sentence?
The agent treats this as a signal that the commit is too broad and should be split into multiple smaller, focused changes.
Do I need to verify changes every time?
Yes, verifying the cached diff and running tests prevents accidental commits of secrets or broken code.

How it compares

Unlike a standard 'git commit -am' which ignores structure, this skill mandates intentional staging and schema validation to ensure long-term maintainability.

Source & trust

2.0k stars📄 MIT🕒 Updated 2026-03-05
📄 Full skill instructions — original source: softaworks/agent-toolkit
# Commit work

## Goal
Make commits that are easy to review and safe to ship:
- only intended changes are included
- commits are logically scoped (split when needed)
- commit messages describe what changed and why

## Inputs to ask for (if missing)
- Single commit or multiple commits? (If unsure: default to multiple small commits when there are unrelated changes.)
- Commit style: Conventional Commits are required.
- Any rules: max subject length, required scopes.

## Workflow (checklist)
1) Inspect the working tree before staging
- git status
- git diff (unstaged)
- If many changes: git diff --stat
2) Decide commit boundaries (split if needed)
- Split by: feature vs refactor, backend vs frontend, formatting vs logic, tests vs prod code, dependency bumps vs behavior changes.
- If changes are mixed in one file, plan to use patch staging.
3) Stage only what belongs in the next commit
- Prefer patch staging for mixed changes: git add -p
- To unstage a hunk/file: git restore --staged -p or git restore --staged <path>
4) Review what will actually be committed
- git diff --cached
- Sanity checks:
- no secrets or tokens
- no accidental debug logging
- no unrelated formatting churn
5) Describe the staged change in 1-2 sentences (before writing the message)
- "What changed?" + "Why?"
- If you cannot describe it cleanly, the commit is probably too big or mixed; go back to step 2.
6) Write the commit message
- Use Conventional Commits (required):
- type(scope): short summary
- blank line
- body (what/why, not implementation diary)
- footer (BREAKING CHANGE) if needed
- Prefer an editor for multi-line messages: git commit -v
- Use references/commit-message-template.md if helpful.
7) Run the smallest relevant verification
- Run the repo's fastest meaningful check (unit tests, lint, or build) before moving on.
8) Repeat for the next commit until the working tree is clean

## Deliverable
Provide:
- the final commit message(s)
- a short summary per commit (what/why)
- the commands used to stage/review (at minimum: git diff --cached, plus any tests run)

How to Use This Skill Unit

Option A: Project-Specific (Recommended)

  1. Click "Download" above
  2. In your project, create the directory: .agent/skills/commit-work/
  3. Save the file as SKILL.md
  4. The agent will automatically discover the skill based on its description.

Option B: Global Installation (All Agents)

Save the file to these locations to make it available across all projects:

  • Claude Code: ~/.claude/skills/softaworks/agent-toolkit/commit-work/SKILL.md
  • Cursor: ~/.cursor/skills/softaworks/agent-toolkit/commit-work/SKILL.md
  • Antigravity: ~/.gemini/antigravity/skills/softaworks/agent-toolkit/commit-work/SKILL.md

🚀 Install with CLI:
npx skills add softaworks/agent-toolkit

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Complete Guide

How to use this Skill in Claude Code & Cursor

For Claude Code (CLI)

To use this skill in Claude Code, copy the rule content into your project's custom instructions or follow our Add-Skill CLI guide. This ensures Claude follows your standards during every code generation.

For Cursor & Windsurf

For Cursor or Windsurf, individual skills are best used in the "Rules for AI" section. This specific unit helps the agent avoid git & version control issues, leading to cleaner, more efficient code.

Why the skill format matters: the standardized Agent Skills format lets your AI agent load detailed instructions only when they are relevant, keeping your prompt clean while improving results.

Source & attribution

This skill is categorized under Git & Version Control and is published by Softaworks, maintained in softaworks/agent-toolkit.

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