Commit logo

Commit

Community
yonatangross
commit

Creates commits with Conventional Commits format (feat/fix/docs/refactor/test/chore), scope detection, co-author attribution, and pre-commit hook compliance. Validates staged changes and prevents secrets or generated-only files from being committed. Use for requests to commit, stage and commit, save progress, or write a commit message. Do not invoke it for incidental git commits during other work; those stay a bare CLI call.

Overview

Publisheryonatangross
Repositoryorchestkit
Skill namecommit
Stars
298
Forks
35
Bundled files
16
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 16 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by yonatangross on GitHub. Read the source before you install it.

Installation

Install the Commit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/commit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/yonatangross/orchestkit.git /tmp/orchestkit
mkdir -p .claude/skills
cp -r /tmp/orchestkit/plugins/ork/skills/commit .claude/skills/commit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Commit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Commit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Commit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Smart Commit

Host-neutral workflow. Invoke by skill name (commit). Claude Code slash routing, YAML hook loaders, and .claude/chain live in references/claude-code.md.

Simple, validated commit creation. Run checks locally, no agents needed for standard commits.

Note: If disableSkillShellExecution is enabled (CC 2.1.91), the git repository check won't run. This skill requires a git repository.

Quick Start

bash
commit
commit fix typo in auth module

Argument Resolution

python
COMMIT_MSG = "$ARGUMENTS"  # Optional commit message, e.g., "fix typo in auth module"
# If provided, use as commit message. If empty, generate from staged changes.
# $ARGUMENTS[0] is the first token (CC 2.1.59 indexed access)

STEP 0: Choose Commit Mode (AskUserQuestion — M118 #1465)

Default is "new commit", but voice-flow needs explicit choice when amend / push / stash is wanted:

python
# Skip when a flag in the invocation makes the mode unambiguous:
#   commit --amend  → skip, mode=amend
#   commit --push   → skip, mode=new+push
#   commit --stash  → skip, mode=stash-first
#   ORK_COMMIT_DEFAULT_MODE=new (or amend|push|stash) → skip, use env value
#
# Otherwise, ask:
AskUserQuestion(questions=[{
  "question": "How should this commit land?",
  "header": "Commit mode",
  "options": [
    {"label": "New commit (default)", "description": "Create a new commit, leave HEAD intact"},
    {"label": "Amend HEAD", "description": "Fold staged changes into the last commit (LOCAL ONLY — refuses if HEAD is published)"},
    {"label": "New commit + push", "description": "Commit then `git push` (refuses on protected branches)"},
    {"label": "Stash first", "description": "Stash unrelated working-tree changes, then commit only what was already staged"}
  ]
}])

Mode-specific guards:

  • Amend HEAD — verify HEAD is not on origin (git rev-list HEAD..origin/<branch> empty); if it is published, refuse and recommend "New commit" instead.
  • New commit + push — re-check the protected-branch rule from Phase 1 before pushing; if HEAD's branch is main/master/dev, abort.
  • Stash first — git stash push -k -m "ork:commit autostash" (keep-index), commit, then git stash pop after push success.

Workflow

Phase 0: Confirm there is a repository to act on

Before any guard, run git rev-parse --is-inside-work-tree. If it fails, or if the Bash tool is not available in this session, say so in one sentence and produce the commit message text only. Skip Phases 1 to 3 entirely.

Never print a branch guard, a validation status, or any other repository fact you did not observe. Measured with claude plugin eval on 2026-09-12: in a sandbox with no repository and no Bash, this skill rendered a "pre-commit guard" box claiming the branch was main and protected. Nothing had been checked. A message-only answer that says "I could not verify branch or lint state" is correct; an invented guard is a defect.

Phase 1: Pre-Commit Safety Check

bash
# CRITICAL: Verify we're not on dev/main
BRANCH=$(git branch --show-current)
if [[ "$BRANCH" == "dev" || "$BRANCH" == "main" || "$BRANCH" == "master" ]]; then
  echo "STOP! Cannot commit directly to $BRANCH"
  echo "Create a feature branch: git checkout -b issue/<number>-<description>"
  exit 1
fi

Phase 2: Run Validation Locally

Run every check that CI runs:

bash
# Backend (Python)
poetry run ruff format --check app/
poetry run ruff check app/
poetry run mypy app/

# Frontend (Node.js)
npm run format:check
npm run lint
npm run typecheck

Fix any failures before proceeding.

Phase 3: Review Changes

bash
git status
git diff --staged   # What will be committed
git diff            # Unstaged changes

Phase 3b: Agent Attribution (automatic)

Before committing, check for the branch activity ledger at .claude/agents/activity/{branch}.jsonl. If it exists and has entries since the last commit, include them in the commit message:

  1. Read .claude/agents/activity/{branch}.jsonl (one JSON object per line)
  2. Filter entries where ts is after the last commit timestamp (git log -1 --format=%cI)
  3. Skip agents with duration_ms < 5000 (advisory-only agents go in PR, not commits)
  4. Add an "Agents Involved:" section between the commit body and the Co-Authored-By trailer
  5. Add per-agent Co-Authored-By trailers: Co-Authored-By: ork:{agent} <noreply@orchestkit.dev>

If the ledger doesn't exist or is empty, skip this step — commit normally.

Phase 4: Stage and Commit

CC 2.1.113 idiom: Multi-line Bash with leading # intent: comments now shows the full command in the transcript — prefix complex scripts with a one-line intent comment so future readers (and /recap scans) can grep the transcript for what happened without re-reading the diff.

bash
# intent: stage the hook change + its test + built artifacts
# Stage files
git add <files>
# Or all: git add .

# Commit with conventional format (with agent attribution if ledger exists)
git commit -m "<type>(#<issue>): <brief description>

- [Change 1]
- [Change 2]

Agents Involved:
  backend-system-architect — API design + data models (2m14s)
  security-auditor — Dependency audit (0m42s)

Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: ork:backend-system-architect <noreply@orchestkit.dev>
Co-Authored-By: ork:security-auditor <noreply@orchestkit.dev>"

# Verify
git log -1 --stat

CC 2.1.183 — attribution.sessionUrl: In web and Remote Control sessions, CC appends a claude.ai session link to commit/PR attribution. Set attribution.sessionUrl: false (/config attribution.sessionUrl=false) to omit it — useful for public repos where the session link should not leak. The Co-Authored-By trailers above are unaffected.

Handoff File

After successful commit, write handoff:

python
Write(".claude/chain/committed.json", JSON.stringify({
  "phase": "commit", "sha": "<commit-sha>",
  "message": "<commit-message>", "branch": "<branch>",
  "files": [<staged-files>]
}))

Commit Types

TypeUse For
featNew feature
fixBug fix
refactorCode improvement
docsDocumentation
testTests only
choreBuild/deps/CI

Quick Rules

  1. Run validation locally - Don't spawn agents to run lint/test
  2. NO file creation - Don't create MD files or documentation
  3. One logical change per commit - Keep commits focused
  4. Reference issues - Use #123 format in commit message
  5. Subject line < 72 chars - Keep it concise

Quick Commit

For trivial changes (typos, single-line fixes):

bash
git add . && git commit -m "fix(#123): Fix typo in error message

Co-Authored-By: Claude <noreply@anthropic.com>"

Verification Gate

Before committing, apply the 5-step gate: Read("../../shared/rules/verification-gate.md"). Run tests fresh. Read the output. Only commit if tests pass. "Should be fine" is not evidence.

Quality Bar

Done means all of these hold:

  • Commit landed on a feature branch, never dev/main/master (Phase 1 guard held)
  • Subject uses a conventional type (feat/fix/docs/refactor/test/chore) matching the diff content, <=72 chars
  • Issue reference (#N) present in the message whenever HEAD is on an issue branch
  • Local validation for the touched stack (lint/type/test) ran and passed before the commit
  • Co-Authored-By: Claude trailer present; per-agent trailers added only when the activity ledger has post-last-commit entries
  • git log -1 --stat shows exactly the intended files, no secrets and no generated-only-noise commit

Related Skills

  • ork:create-pr: Create pull requests from commits
  • ork:review-pr: Review changes before committing
  • ork:fix-issue: Fix issues and commit the fixes
  • ork:issue-progress-tracking: Auto-updates GitHub issues with commit progress

Rules

Each category has individual rule files in rules/ loaded on-demand:

CategoryRuleImpactKey Pattern
Atomic Commitsrules/atomic-commit.mdCRITICALOne logical change per commit, atomicity test
Branch Protectionrules/branch-protection.mdCRITICALProtected branches, required PR workflow
Commit Splittingrules/commit-splitting.mdHIGHgit add -p, interactive staging, separation strategies
Conventional Formatrules/conventional-format.mdHIGHtype(scope): description, breaking changes
History Hygienerules/history-hygiene.mdHIGHSquash WIP, fixup commits, clean history
Issue Referencerules/issue-reference-required.mdHIGHReference issue #N in commits on issue branches
Merge Strategyrules/merge-strategy.mdHIGHRebase-first, conflict resolution, force-with-lease
Stacked PRsrules/stacked-pr-workflow.mdHIGHStack planning, PR creation, dependency tracking
Stacked PRsrules/stacked-pr-rebase.mdHIGHRebase management, force-with-lease, retargeting

Total: 9 rules across 8 categories

References

Load on demand with Read("references/<file>"):

FileContent
references/conventional-commits.mdConventional commits specification
references/recovery.mdRecovery procedures

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Commit AI skill do?

Creates commits with Conventional Commits format (feat/fix/docs/refactor/test/chore), scope detection, co-author attribution, and pre-commit hook compliance. Validates staged changes and prevents secrets or generated-only files from being committed. Use for requests to commit, stage and commit, save progress, or write a commit message. Do not invoke it for incidental git commits during other work; those stay a bare CLI call.

Why use Commit on TypingMind?

Because you install it once and use it with any model. Commit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Commit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/commit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Commit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Commit?

As many as you like. As long as a model supports skills, you can use Commit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Commit AI skill free?

Yes. It is published on GitHub by yonatangross under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇