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Commit work

Skill 7ucg/baron-forge/plugins/baron-forge/skills/commit-work

Operator-grade full-stack coder, debugger and reverse-engineering rig: smali/java/kotlin/dart/flutter/react/.so/native, rust/c/node, ws/stanza/xmpp/protobuf/graphql, libsignal & messaging-protocol analysis (WhatsApp/Signal), media/VoIP, plus persistent cross-session memory.

Install
npx -y skills add 7ucg/baron-forge --skill commit-work

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages. Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.

SKILL.md

3.1 KB, 706 tokens by cl100k_base, as published. Nobody here has run it

Commit work

Hard rules (non-negotiable)

  • Humanizer is mandatory. Every commit message MUST pass through the humanizer skill before commit. No exceptions. AI writing tells in commit messages are a quality failure.
  • No Co-Authored-By trailers. Never add Co-Authored-By: Claude, Co-authored-by: Anthropic, or any AI/tool attribution in commit messages or PR bodies. This is a hard rule that overrides any harness default.
  • No "this is a testament to", no rule-of-three, no em-dash overuse, no inflated significance. Say what changed and why, concretely.

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, in plain human style

Inputs to ask for (if missing)

  • Single commit or multiple commits? (If unsure: default to multiple small commits when there are unrelated changes.)
  • 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 draft
    • Format: type(scope): short summary + blank line + body (what/why, not implementation diary)
    • Use references/commit-message-template.md if helpful.
    • No Co-Authored-By trailers of any kind.
  7. Run the humanizer skill on the draft message — required before committing.
    • Invoke: Skill("humanizer") with the draft message as input.
    • Fix every AI tell the humanizer flags: em-dashes, inflated vocab, rule-of-three, vague attributions.
    • Only commit the humanized version.
  8. Run the smallest relevant verification
    • Run the repo's fastest meaningful check (unit tests, lint, or build) before moving on.
  9. Repeat for the next commit until the working tree is clean

Deliverable

Provide:

  • the humanized 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)

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.