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Git Worktree

CommunityPopular
davidondrej
git-worktree

Use Git worktrees to isolate parallel coding tasks. Use when setting up a task checkout, working in a shared repo, or managing existing worktrees.

Overview

Publisherdavidondrej
Repositoryskills
Skill namegit-worktree
Stars
4.1K
Forks
599
Bundled files
1
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.

  • 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 davidondrej on GitHub. Read the source before you install it.

Installation

Install the Git Worktree 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/davidondrej/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/agent-orchestration/git-worktree .claude/skills/git-worktree
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Git Worktree 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 Worktree 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 Worktree 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 Worktrees for Parallel Agents

Start here

Detect where you are before editing:

bash
[ "$(git rev-parse --path-format=absolute --git-dir)" = "$(git rev-parse --path-format=absolute --git-common-dir)" ] \
  && echo "primary checkout" || echo "worktree"
  • Primary checkout → create a task-named worktree, complete the setup below, and cd into it before editing.
  • Worktree (including one created by Cursor) → proceed with the task.

Working model

Worktrees have separate working files and branches but share Git history, stashes, config, and refs.

  • One task = one worktree = one agent session. Never share a working directory between agents.
  • Keep the primary checkout on main, only for review, merging, and pushing.
  • Nothing auto-merges. The human reviews each diff before merging or discarding the worktree.
  • Keep task branches local and short-lived. Push only main unless the user explicitly asks to push a task branch.
  • Merge one worktree at a time. If main moved, rebase the task branch before merging.

Creating and removing

bash
git worktree add ../myrepo-task-x          # new worktree + branch "myrepo-task-x"
git worktree add ../fix-y -b fix-y main    # explicit branch off main
git worktree list                          # see all worktrees
git worktree remove ../myrepo-task-x       # delete when merged/abandoned
git worktree prune                         # clean up stale registrations

A branch can be checked out in only one worktree, including main.

In Cursor, use the Agents Window or /worktree <task>. /apply-worktree applies results to the main checkout; /delete-worktree discards them. /best-of-n model1,model2 <task> runs the same task in parallel worktrees, one per model. Cursor auto-deletes older worktrees, so preserve results promptly; pushing task branches still requires explicit approval.

Complete the setup

A fresh worktree contains tracked files only. Bootstrap it before task work:

  1. Env/secret files — copy .env, .env.local, and similar files from the primary checkout. Never symlink them: edits would change the originals.
  2. Dependencies — install locally (npm ci, pnpm install, uv sync, bundle install). Never symlink node_modules from the primary checkout: bundlers such as Next.js/Turbopack reject paths outside the worktree. If it is a symlink, remove it with rm -f node_modules and install normally.
  3. Databases and services — choose shared or per-worktree state. For shared services, pin their identity to avoid duplicate instances and port conflicts. For shared Docker Compose services, pin the project name, for example with a top-level name:; otherwise each worktree's folder name creates a separate project. Copy or re-seed per-worktree state such as SQLite files.
  4. Ports — run dev/test servers and debuggers one at a time, or configure separate ports per worktree.
  5. Generated files and caches — rebuild gitignored output in the worktree (npm run build, codegen).
  6. Git hookscore.hooksPath and .git/config are shared; verify hook scripts don't assume the primary checkout's path.

Automate setup

In Cursor, .cursor/worktrees.json runs setup on creation ($ROOT_WORKTREE_PATH is the primary checkout):

json
{
  "setup-worktree": [
    "npm ci",
    "cp $ROOT_WORKTREE_PATH/.env.local .env.local"
  ]
}

Otherwise, put the checklist in scripts/setup-worktree.sh and run it first in each new worktree. Find the primary checkout from a worktree with:

bash
dirname "$(git rev-parse --path-format=absolute --git-common-dir)"

Merge and clean up

bash
# from the primary checkout, after reviewing the worktree's diff:
git merge --no-ff task-branch     # or: git merge --squash task-branch
git worktree remove ../myrepo-task-x
git branch -d task-branch

In Cursor, use /apply-worktree, then review and commit.

  • Delete merged worktrees to reclaim their files and dependencies.
  • Rebase or restart worktrees that have stalled for days.
  • Commit early and often. Deleting a worktree loses uncommitted work; commits remain in the shared repository.

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 Worktree AI skill do?

Use Git worktrees to isolate parallel coding tasks. Use when setting up a task checkout, working in a shared repo, or managing existing worktrees.

Why use Git Worktree on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davidondrej/skills/tree/main/skills/agent-orchestration/git-worktree. 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 Worktree?

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 Worktree?

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

Is the Git Worktree AI skill free?

Yes. It is published on GitHub by davidondrej 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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