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Git Workflow

CommunityPopular
jezweb
git-workflow

Guided git workflows: prepare PRs, clean up branches, resolve merge conflicts, handle monorepo tags, squash-and-merge patterns. Use when asked to prepare a PR, clean branches, resolve conflicts, or tag a release.

Overview

Publisherjezweb
Repositoryclaude-skills
Skill namegit-workflow
Stars
1K
Forks
102
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 jezweb on GitHub. Read the source before you install it.

Installation

Install the Git Workflow 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/jezweb/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/plugins/dev-tools/skills/git-workflow .claude/skills/git-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Git Workflow 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 Workflow 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 Workflow 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 Workflow

Guided workflows for common git operations that benefit from structured steps.

PR Preparation

When preparing a pull request:

  1. Gather context

    • git log main..HEAD --oneline — list all commits on the branch
    • git diff main...HEAD --stat — see all changed files
    • git status — check for uncommitted work
  2. Draft PR content

    • Title: under 70 chars, describes the change (not the branch name)
    • Body: summarise the "why", list key changes, add test plan
    • Use the commit history to write the summary — don't rely on memory
  3. Push and create

    bash
    git push -u origin HEAD
    gh pr create --title "..." --body "$(cat <<'EOF'
    ## Summary
    - ...
    
    ## Test plan
    - [ ] ...
    
    🤖 Generated with [Claude Code](https://claude.com/claude-code)
    EOF
    )"
  4. Verifygh pr view --web to open in browser

Branch Cleanup

Clean up merged branches safely:

  1. Switch to main and pull latest

    bash
    git checkout main && git pull
  2. List merged branches (excludes main/master/develop)

    bash
    git branch --merged main | grep -vE '^\*|main|master|develop'
  3. Delete local merged branches

    bash
    git branch --merged main | grep -vE '^\*|main|master|develop' | xargs -r git branch -d
  4. Prune remote tracking refs

    bash
    git fetch --prune
  5. List remote branches with no local tracking (optional)

    bash
    git branch -r --merged origin/main | grep -vE 'main|master|develop|HEAD'

Merge Conflict Resolution

When a PR has conflicts:

  1. Assess the conflict scope

    bash
    git fetch origin
    git merge origin/main --no-commit --no-ff
    git diff --name-only --diff-filter=U  # List conflicted files
  2. For each conflicted file, read the file and resolve:

    • Keep both changes if they're in different areas
    • If architecturally incompatible, prefer the main branch's approach and re-apply the PR's intent on top
  3. If rebase is cleaner (few commits, no shared history):

    bash
    git rebase origin/main
    # Resolve conflicts per commit, then:
    git rebase --continue
  4. If rebase is messy (many conflicts, architectural divergence):

    • Abort: git rebase --abort or git merge --abort
    • Extract useful code: git show origin/branch:path/to/file > /tmp/extracted.txt
    • Apply changes manually to main
    • Close original PR with explanation
  5. Verify — run tests, check the diff looks right

Monorepo Release Tags

In monorepos, scope tags to the package:

bash
# ❌ Ambiguous in monorepos
git tag v2.1.0

# ✅ Scoped to package
git tag contextbricks-v2.1.0
git push origin contextbricks-v2.1.0

Pattern: {package-name}-v{semver}

.gitignore-First Init

When creating a new repo, always create .gitignore BEFORE the first git add:

bash
cat > .gitignore << 'EOF'
node_modules/
.wrangler/
dist/
.dev.vars
*.log
.DS_Store
.env
.env.local
EOF

git init && git add . && git commit -m "Initial commit"

If node_modules is already tracked:

bash
git rm -r --cached node_modules/
git commit -m "Remove node_modules from tracking"

Private Repo License Audit

Before publishing or sharing a private repo:

bash
gh repo view --json visibility -q '.visibility'

If PRIVATE, ensure:

  • LICENSE contains proprietary notice (not MIT/Apache)
  • package.json has "license": "UNLICENSED" and "private": true
  • No CONTRIBUTING.md or "contributions welcome" in README

Frequently asked questions

What does the Git Workflow AI skill do?

Guided git workflows: prepare PRs, clean up branches, resolve merge conflicts, handle monorepo tags, squash-and-merge patterns. Use when asked to prepare a PR, clean branches, resolve conflicts, or tag a release.

Why use Git Workflow on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jezweb/claude-skills/tree/main/plugins/dev-tools/skills/git-workflow. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Git Workflow?

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 Workflow?

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

Is the Git Workflow AI skill free?

Yes. It is published on GitHub by jezweb 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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