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Commit Messages

Community
TheDecipherist
commit-messages

Generate clear, conventional commit messages from git diffs. Use when writing commit messages, reviewing staged changes, or preparing releases.

Overview

PublisherTheDecipherist
Repositoryclaude-code-mastery
Skill namecommit-messages
Stars
551
Forks
48
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Commit Messages 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/TheDecipherist/claude-code-mastery/tree/main/skills/commit-messages
  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/TheDecipherist/claude-code-mastery.git /tmp/claude-code-mastery
mkdir -p .claude/skills
cp -r /tmp/claude-code-mastery/skills/commit-messages .claude/skills/commit-messages
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Commit Messages 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 Messages 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 Messages 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.

Commit Message Skill

Generate consistent, informative commit messages following the Conventional Commits specification.

When to Use This Skill

  • User asks to "commit", "write a commit message", or "prepare commit"
  • User has staged changes and mentions commits
  • Before any git commit command

Process

  1. Analyze changes: Run git diff --staged to see what's being committed
  2. Identify the type: Determine the primary change category
  3. Find the scope: Identify the main area affected
  4. Write the message: Follow the format below

Commit Message Format

<type>(<scope>): <description>

[optional body]

[optional footer(s)]

Types

TypeDescriptionExample
featNew featurefeat(auth): add OAuth2 login
fixBug fixfix(api): handle null response
docsDocumentation onlydocs(readme): add setup instructions
styleFormatting, no code changestyle: fix indentation
refactorCode change, no new feature/fixrefactor(db): extract query builder
perfPerformance improvementperf(search): add result caching
testAdding/fixing teststest(auth): add login unit tests
buildBuild system changesbuild: update webpack config
ciCI configurationci: add GitHub Actions workflow
choreMaintenance taskschore(deps): update dependencies
revertRevert previous commitrevert: feat(auth): add OAuth2

Scope

The scope should be a noun describing the section of the codebase:

  • auth, api, db, ui, config
  • Feature names: search, checkout, dashboard
  • Or omit if change is broad

Subject Line Rules

  • Use imperative mood: "add" not "added" or "adds"
  • Don't capitalize first letter after colon
  • No period at the end
  • Max 72 characters total

Body (when needed)

  • Separate from subject with blank line
  • Explain what and why, not how
  • Wrap at 72 characters
  • Use bullet points for multiple changes

Footer (when needed)

  • BREAKING CHANGE: for breaking changes
  • Fixes #123 to close issues
  • Refs #456 to reference without closing

Examples

Simple feature

feat(search): add fuzzy matching support

Implement Levenshtein distance algorithm for typo tolerance
in search queries. Configurable via FUZZY_THRESHOLD env var.

Bug fix with issue reference

fix(cart): prevent duplicate items on rapid clicks

Add debounce to add-to-cart button and check for existing
items before insertion.

Fixes #234

Breaking change

feat(api)!: change response format to JSON:API

BREAKING CHANGE: API responses now follow JSON:API spec.
All clients need to update their parsers.

- Wrap data in `data` object
- Move metadata to `meta` object  
- Add `links` for pagination

Multiple related changes

refactor(auth): consolidate authentication logic

- Extract JWT handling to dedicated service
- Move session management from controller to middleware
- Add refresh token rotation

This prepares for the upcoming OAuth2 integration.

Output

When generating a commit message:

  1. Show the staged changes summary
  2. Propose the commit message
  3. Explain the type/scope choice if non-obvious
  4. Ask if the user wants to proceed or modify

Frequently asked questions

What does the Commit Messages AI skill do?

Generate clear, conventional commit messages from git diffs. Use when writing commit messages, reviewing staged changes, or preparing releases.

Why use Commit Messages on TypingMind?

Because you install it once and use it with any model. Commit Messages 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 Messages in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TheDecipherist/claude-code-mastery/tree/main/skills/commit-messages. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Commit Messages?

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 Messages?

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

Is the Commit Messages AI skill free?

Yes. It is published on GitHub by TheDecipherist 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.

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