Git Commit Smart

Community

majiayu000

git-commit-smart

Generates meaningful, conventional commit messages automatically. Use when committing code changes. Analyzes diff to create descriptive commits following best practices.

Overview

Publisher	majiayu000
Repository	`spellbook`
Skill name	`git-commit-smart`
Stars	280
Forks	26
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 majiayu000 on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/majiayu000/spellbook.git /tmp/spellbook
mkdir -p .claude/skills
cp -r /tmp/spellbook/skills/git-commit-smart .claude/skills/git-commit-smart

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Git Commit Smart 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 Git Commit Smart 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 Git Commit Smart 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 Git Commit

Inspired by claude-code-plugins-plus

Purpose

Automatically generate meaningful commit messages by analyzing staged changes, following conventional commit format.

Commit Message Format


<type>(<scope>): <subject>

<body>

<footer>

Types

Type	Description
`feat`	New feature
`fix`	Bug fix
`docs`	Documentation only
`style`	Formatting, no code change
`refactor`	Code change, no new feature or fix
`perf`	Performance improvement
`test`	Adding/updating tests
`chore`	Maintenance tasks
`ci`	CI/CD changes
`build`	Build system changes

Scope

Optional, indicates the section of codebase:

auth, api, ui, db, config, etc.

Subject

Imperative mood ("add" not "added")
No period at end
Max 50 characters
Lowercase

Body

Explain WHAT and WHY, not HOW
Wrap at 72 characters
Separate from subject with blank line

Footer

Breaking changes: BREAKING CHANGE: description
Issue references: Closes #123, Fixes #456

Workflow

1. Analyze Changes

bash
# View staged changes
git diff --staged

# View changed files
git diff --staged --name-only

# View stats
git diff --staged --stat

2. Determine Type

Based on changes:

New files with features → feat
Modified files fixing issues → fix
Only .md files → docs
Only test files → test
package.json, configs → chore or build

3. Identify Scope

Look at file paths:

src/auth/* → scope: auth
src/api/* → scope: api
tests/* → scope: test
Multiple areas → omit scope or use broader term

4. Write Subject

Summarize the change:


feat(auth): add OAuth2 login support
fix(api): handle null response in user endpoint
docs: update README with installation steps
refactor(db): extract query builder to separate module

5. Write Body (if needed)

For complex changes:


feat(auth): add OAuth2 login support

Implement OAuth2 authentication flow with support for
Google and GitHub providers. This allows users to sign
in without creating a separate account.

- Add OAuth2 client configuration
- Implement callback handlers
- Store OAuth tokens securely
- Add provider selection UI

Examples

Simple Feature


feat(ui): add dark mode toggle

Bug Fix with Issue Reference


fix(api): prevent duplicate user creation

Check for existing email before inserting new user record.
Race condition could cause duplicate entries when requests
arrived simultaneously.

Fixes #234

Breaking Change


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

BREAKING CHANGE: All API responses now follow JSON:API
specification. Clients must update their parsers.

Migration guide: docs/migration-v2.md

Multiple Files, Single Purpose


refactor: extract validation logic to shared module

Move duplicate validation code from controllers to
a shared validation module. Reduces code duplication
and ensures consistent validation across endpoints.

Anti-Patterns to Avoid


❌ "fix stuff"
❌ "update code"
❌ "WIP"
❌ "changes"
❌ "fixed bug"
❌ "misc updates"
❌ Commits with 50+ files and vague message

Best Practices

Atomic commits - One logical change per commit
Meaningful messages - Future you will thank present you
Reference issues - Link to tickets/issues when relevant
Review before commit - git diff --staged always
Don't commit secrets - Check for API keys, passwords

Quick Reference

bash
# Stage specific files
git add <file>

# Stage all changes
git add -A

# Interactive staging
git add -p

# Commit with message
git commit -m "type(scope): subject"

# Commit with body
git commit -m "type(scope): subject" -m "body paragraph"

# Amend last commit
git commit --amend

Frequently asked questions

What does the Git Commit Smart AI skill do?

Generates meaningful, conventional commit messages automatically. Use when committing code changes. Analyzes diff to create descriptive commits following best practices.

Why use Git Commit Smart on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/majiayu000/spellbook/tree/main/skills/git-commit-smart. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Git Commit Smart?

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 Git Commit Smart?

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

Is the Git Commit Smart AI skill free?

Yes. It is published on GitHub by majiayu000 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Smart Git Commit

Purpose

Commit Message Format

Types

Scope

Subject

Body

Footer

Workflow

1. Analyze Changes

2. Determine Type

3. Identify Scope

4. Write Subject

5. Write Body (if needed)

Examples

Simple Feature

Bug Fix with Issue Reference

Breaking Change

Multiple Files, Single Purpose

Anti-Patterns to Avoid

Best Practices

Quick Reference

Frequently asked questions

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