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Git Master

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code-yeongyu
git-master

Handles git work: atomic commits, rebase, squash, blame, bisect, reflog, and history questions. Use whenever a task needs a commit or a git-history investigation; skip for ordinary code edits.

Overview

Publishercode-yeongyu
Repositoryoh-my-openagent
Skill namegit-master
Stars
69.1K
Forks
5.7K
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

    Published by code-yeongyu on GitHub. Read the source before you install it.

Installation

Install the Git Master 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.
  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/code-yeongyu/oh-my-openagent.git /tmp/oh-my-openagent
mkdir -p .claude/skills
cp -r /tmp/oh-my-openagent/packages/shared-skills/skills/git-master .claude/skills/git-master
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Git Master 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 Master 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 Master 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.

Git Master

Use this skill when the user asks you to operate on Git history or answer a Git-history question. Be exact, conservative, and evidence-led. Read the repository state before you infer anything.

Mode Gate

Classify the request first:

  • COMMIT: stage and commit local changes.
  • REBASE: rebase, squash, fixup, autosquash, reorder, split, or otherwise rewrite branch history.
  • HISTORY: answer when, where, who, why, or which commit changed something.
  • STATUS: inspect branch, diff, or working-tree state without changing it.

Do not commit, rebase, push, force-push, reset, stash-pop, or delete anything unless the user explicitly asked for that operation. If the request is only investigative, report findings and stop.

Ground Truth

Gather independent facts in parallel when the tools allow it:

bash
git status --short
git diff --stat
git diff --staged --stat
git branch --show-current
git log -30 --oneline
git log -30 --pretty=format:%s
git rev-parse --abbrev-ref @{upstream}
git merge-base HEAD origin/main
git merge-base HEAD origin/master

Missing upstream or missing main/master is normal. Fall back to the best available branch or report the missing fact. Never treat a failed lookup as proof.

PR Body Evidence Attachments

When a PR body needs screenshots or terminal PNGs, use the repo reference at docs/reference/github-attachment-upload.md. The allowed hosting path is GitHub user attachments from the authenticated web attachment flow; never commit temporary images, never use GitHub Releases for PR evidence, and never use external image hosts. Do not log browser cookies, CSRF tokens, S3 form fields, or upload headers.

Commit Mode

Commit only the user's requested changes. Preserve unrelated dirty work.

  1. Detect message style from recent history. Use the dominant local pattern, language, and casing. Do not default to Conventional Commits unless the repo uses them.
  2. Inspect the full diff, not only filenames. Separate unrelated user edits from the requested commit.
  3. Build atomic groups by behavior, module, and revertability. Keep implementation and its direct tests together.
  4. Prefer multiple commits for unrelated concerns. A single commit is acceptable only when the changed files form one indivisible behavior or the user explicitly asks for one commit.
  5. Stage by path or hunk so each commit contains only its atomic group.
  6. Before each commit, verify git diff --staged --stat and enough staged diff to prove the group is right.
  7. Commit with the detected style. After each commit, verify git log -1 --oneline.

Grouping rules:

  • Split different features, modules, generated artifacts, config, docs, and test-only changes unless they are inseparable.
  • Keep generated files with the source change that produced them when omitting them would leave the repo inconsistent.
  • Never hide failing or unrelated changes inside a broad commit.

Final report: list commit hashes, messages, and any remaining uncommitted files.

Rebase Mode

History rewriting is a shared-impact operation.

  • Never rebase or rewrite main, master, dev, release branches, or a protected branch unless the user explicitly named that exact operation.
  • If commits may already be pushed, ask before force-pushing. Use --force-with-lease, never plain --force.
  • If the worktree is dirty, preserve it intentionally before rebasing. Do not stash-pop over conflicts without checking what changed.
  • For fixups, prefer git commit --fixup=<hash> followed by GIT_SEQUENCE_EDITOR=: git rebase -i --autosquash <base>.
  • For conflicts, read the conflicting files and resolve by intent. Do not choose ours/theirs blindly.
  • If a rebase goes wrong, use git rebase --abort first. Use reflog only after explaining the recovery path.

After rewriting, run the relevant tests or at least the project's cheapest smoke check, then show the new branch log from base to HEAD.

History Mode

Choose the Git tool by the question:

  • git log -S "text": when the count of an exact string changed.
  • git log -G "regex": when diffs touched lines matching a pattern.
  • git blame -L start,end -- file: who last changed specific lines.
  • git log --follow -- file: history across renames for one file.
  • git show <hash>: inspect the commit that appears relevant.
  • git bisect: find the first bad commit when there is a deterministic pass/fail command and known good/bad bounds.
  • git reflog: recover or explain recent local history movement.

Always cite the exact command evidence in the answer: commit hash, subject, file path, and line or diff context when relevant. If the evidence is ambiguous, say what remains unproven.

Safety Checks

Before any write to Git history:

  • Current branch is known.
  • Dirty work is accounted for.
  • Upstream/pushed status is known or explicitly unknown.
  • The operation matches the user's request.
  • Recovery path is known (rebase --abort, reflog hash, or untouched worktree).

Before finishing:

  • Run the most relevant verification available for the changed behavior or history operation.
  • Report commands that passed and any command you could not run.
  • Leave the worktree state explicit.

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 Git Master AI skill do?

Handles git work: atomic commits, rebase, squash, blame, bisect, reflog, and history questions. Use whenever a task needs a commit or a git-history investigation; skip for ordinary code edits.

Why use Git Master on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/code-yeongyu/oh-my-openagent/tree/dev/packages/shared-skills/skills/git-master. 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 Git Master?

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 Master?

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

Is the Git Master AI skill free?

It is published on GitHub by code-yeongyu. Check the repository for licensing terms. 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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