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Git Worktrees

Community
xenitV1
git-worktrees

Create isolated git workspaces for feature development. Smart directory selection, safety verification, and cross-platform support (Windows/Unix).

Overview

PublisherxenitV1
Repositoryclaude-code-maestro
Skill namegit-worktrees
Stars
231
Forks
34
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 xenitV1 on GitHub. Read the source before you install it.

Installation

Install the Git Worktrees 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/xenitV1/claude-code-maestro.git /tmp/claude-code-maestro
mkdir -p .claude/skills
cp -r /tmp/claude-code-maestro/skills/git-worktrees .claude/skills/git-worktrees
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Git Worktrees 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 Worktrees 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 Worktrees 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.

<domain_overview>

🌳 GIT WORKTREES: ISOLATED WORKSPACES

Philosophy: Isolation prevents contamination. Work on features without affecting the main workspace. Systematic directory selection + safety verification = reliable isolation. ISOLATION INTEGRITY MANDATE (CRITICAL): Never create worktrees in directories that are not explicitly ignored by Git. AI-generated workflows often fail by polluting the primary repository with tracked worktree data. You MUST verify that the destination directory is within .gitignore before execution. Furthermore, you MUST ensure a 'Clean Baseline' by running tests before starting any feature work in a new worktree to avoid cross-contamination of artifacts. </domain_overview>


<directory_selection>

🎯 OVERVIEW

Git worktrees create isolated workspaces sharing the same repository, allowing work on multiple branches simultaneously without switching. Benefits:

  • Work on feature branch without stashing changes
  • Test in isolation without affecting main workspace
  • Run long processes without blocking other work
  • Easy cleanup when feature is complete

📋 WHEN TO USE

Use before:

  • Starting new feature development
  • Implementing plans from @planning-mastery
  • Making experimental changes
  • Working on multiple features in parallel Skip for:
  • Quick bug fixes on current branch
  • Documentation updates
  • Configuration changes

📁 DIRECTORY SELECTION PROCESS

Follow this priority order:

1. Check Existing Directories

Unix/macOS:

bash
ls -d .worktrees 2>/dev/null     # Preferred (hidden)
ls -d worktrees 2>/dev/null      # Alternative

Windows (PowerShell):

powershell
if (Test-Path ".worktrees") { ".worktrees" }
elseif (Test-Path "worktrees") { "worktrees" }

If found: Use that directory. If both exist, .worktrees wins.

2. Check CLAUDE.md

bash
grep -i "worktree.*director" CLAUDE.md 2>/dev/null

If preference specified: Use it without asking.

3. Ask User

If no directory exists and no CLAUDE.md preference:

No worktree directory found. Where should I create worktrees?
1. .worktrees/ (project-local, hidden)
2. %USERPROFILE%\.config\maestro\worktrees\<project>\ (global location)
Which would you prefer?

</directory_selection> <safety_verification>

🔒 SAFETY VERIFICATION

For Project-Local Directories

MUST verify directory is ignored before creating worktree: Unix/macOS:

bash
git check-ignore -q .worktrees 2>/dev/null || git check-ignore -q worktrees 2>/dev/null

Windows (PowerShell):

powershell
git check-ignore -q .worktrees 2>$null
if ($LASTEXITCODE -ne 0) {
    git check-ignore -q worktrees 2>$null
}

If NOT ignored:

  1. Add appropriate line to .gitignore
  2. Commit the change
  3. Proceed with worktree creation Why critical: Prevents accidentally committing worktree contents to repository.

For Global Directory

No .gitignore verification needed - outside project entirely. </safety_verification> <creation_and_setup>

🔨 CREATION STEPS

1. Detect Project Name

Unix/macOS:

bash
project=$(basename "$(git rev-parse --show-toplevel)")

Windows (PowerShell):

powershell
$project = Split-Path -Leaf (git rev-parse --show-toplevel)

2. Create Worktree

Unix/macOS:

bash
# Project-local
path=".worktrees/$BRANCH_NAME"
git worktree add "$path" -b "$BRANCH_NAME"
cd "$path"
# Or global
path="$HOME/.config/maestro/worktrees/$project/$BRANCH_NAME"
mkdir -p "$(dirname "$path")"
git worktree add "$path" -b "$BRANCH_NAME"
cd "$path"

Windows (PowerShell):

powershell
# Project-local
$path = ".worktrees\$BRANCH_NAME"
git worktree add $path -b $BRANCH_NAME
Set-Location $path
# Or global
$path = "$env:USERPROFILE\.config\maestro\worktrees\$project\$BRANCH_NAME"
New-Item -ItemType Directory -Force -Path (Split-Path $path)
git worktree add $path -b $BRANCH_NAME
Set-Location $path

3. Run Project Setup

Auto-detect and run appropriate setup: Cross-platform:

bash
# Node.js
if [ -f package.json ]; then npm install; fi
# Python
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
if [ -f pyproject.toml ]; then poetry install; fi
# Rust
if [ -f Cargo.toml ]; then cargo build; fi
# Go
if [ -f go.mod ]; then go mod download; fi

Windows (PowerShell):

powershell
# Node.js
if (Test-Path "package.json") { npm install }

# Python
if (Test-Path "requirements.txt") { pip install -r requirements.txt }
if (Test-Path "pyproject.toml") { poetry install }

# Rust
if (Test-Path "Cargo.toml") { cargo build }

# Go
if (Test-Path "go.mod") { go mod download }

4. Verify Clean Baseline

Run tests to ensure worktree starts clean:

bash
# Use project-appropriate command
npm test
pytest
cargo test
go test ./...

If tests fail: Report failures, ask whether to proceed or investigate. If tests pass: Report ready.

5. Report Location

Worktree ready at <full-path>
Tests passing (<N> tests, 0 failures)
Ready to implement <feature-name>

</creation_and_setup> <audit_and_reference>

📊 QUICK REFERENCE

SituationAction
.worktrees/ existsUse it (verify ignored)
worktrees/ existsUse it (verify ignored)
Both existUse .worktrees/
Neither existsCheck CLAUDE.md → Ask user
Directory not ignoredAdd to .gitignore + commit
Tests fail during baselineReport failures + ask
No package.json/Cargo.tomlSkip dependency install

🧹 CLEANUP

When feature work is complete: List worktrees:

bash
git worktree list

Remove worktree:

bash
git worktree remove .worktrees/feature-name
# or force if uncommitted changes
git worktree remove --force .worktrees/feature-name

Prune stale entries:

bash
git worktree prune

🚫 COMMON MISTAKES

Skipping ignore verification

  • Problem: Worktree contents get tracked, pollute git status
    • Fix: Always use git check-ignore before creating project-local worktree

Assuming directory location

  • Problem: Creates inconsistency, violates project conventions
    • Fix: Follow priority: existing > CLAUDE.md > ask

Proceeding with failing tests

  • Problem: Can't distinguish new bugs from pre-existing issues
    • Fix: Report failures, get explicit permission to proceed

Hardcoding setup commands

  • Problem: Breaks on projects using different tools
    • Fix: Auto-detect from project files (package.json, etc.)

Forgetting to cleanup

  • Problem: Disk space consumed, stale branches accumulate
    • Fix: Remove worktree when feature is merged

📝 EXAMPLE WORKFLOW

You: I'm using the git-worktrees skill to set up an isolated workspace.
[Check .worktrees/ - exists]
[Verify ignored - git check-ignore confirms .worktrees/ is ignored]
[Create worktree: git worktree add .worktrees/auth -b feature/auth]
[Run npm install]
[Run npm test - 47 passing]
Worktree ready at C:\Users\Dev\myproject\.worktrees\auth
Tests passing (47 tests, 0 failures)
Ready to implement auth feature

🚨 RED FLAGS

Never:

  • Create worktree without verifying it's ignored (project-local)
  • Skip baseline test verification
  • Proceed with failing tests without asking
  • Assume directory location when ambiguous
  • Skip CLAUDE.md check Always:
  • Follow directory priority: existing > CLAUDE.md > ask
  • Verify directory is ignored for project-local
  • Auto-detect and run project setup
  • Verify clean test baseline
  • Report full path when done

🔗 INTEGRATION

Called by:

  • @brainstorming - After design approved, before implementation
  • @planning-mastery - When executing plan

Pairs with:

  • @planning-mastery - Work happens in this worktree
  • @tdd-mastery - Implementation methodology
  • @verification-mastery - Complete development after all tasks

🔗 RALPH WIGGUM INTEGRATION

When Ralph Wiggum is active:

  1. Before first iteration: Create worktree for isolated work
  2. During iterations: All work happens in worktree
  3. After completion: Merge or create PR from worktree
  4. Cleanup: Remove worktree after merge

🔗 RELATED SKILLS

  • @brainstorming - Design before worktree creation
  • @planning-mastery - Plan to execute in worktree
  • @verification-mastery - Verify before finishing branch </audit_and_reference>

Frequently asked questions

What does the Git Worktrees AI skill do?

Create isolated git workspaces for feature development. Smart directory selection, safety verification, and cross-platform support (Windows/Unix).

Why use Git Worktrees on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xenitV1/claude-code-maestro/tree/main/skills/git-worktrees. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Git Worktrees?

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 Worktrees?

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

Is the Git Worktrees AI skill free?

Yes. It is published on GitHub by xenitV1 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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