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Git Worktrees

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heyitsnoah
git-worktrees

Work with git worktrees for isolated parallel development. Use when starting feature work in isolation, when need separate workspace without branch switching, or when cleaning up worktrees after PR merge.

Overview

Publisherheyitsnoah
Repositoryclaudesidian
Skill namegit-worktrees
Stars
2.6K
Forks
192
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 heyitsnoah 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.
    https://github.com/heyitsnoah/claudesidian/tree/main/.agents/skills/git-worktrees
  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/heyitsnoah/claudesidian.git /tmp/claudesidian
mkdir -p .claude/skills
cp -r /tmp/claudesidian/.agents/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.

Git Worktrees

Overview

Git worktrees create isolated workspaces sharing the same repository, allowing work on multiple branches simultaneously without switching. Each worktree is a separate directory with its own working tree, but they share the same .git history.

When to Use Worktrees

  • Parallel development: Work on feature A while feature B builds/tests
  • Code review: Check out PR branch without disrupting current work
  • Experiments: Try something risky without affecting main workspace
  • Long-running tasks: Keep main branch available while feature develops

Quick Reference

ActionCommand
List worktreesgit worktree list
Create worktreegit worktree add <path> -b <branch>
Create from existing branchgit worktree add <path> <branch>
Remove worktreegit worktree remove <path>
Prune stale worktreesgit worktree prune

Creating Worktrees

New Feature Branch

bash
# Create worktree with new branch
git worktree add .worktrees/my-feature -b feat/my-feature

# Or specify base branch
git worktree add .worktrees/my-feature -b feat/my-feature main

From Existing Branch

bash
# Check out existing remote branch
git worktree add .worktrees/pr-review origin/fix-bug

# Check out existing local branch
git worktree add .worktrees/hotfix hotfix/urgent-fix

Directory Structure

project/
├── .git/                    # Shared git history
├── .worktrees/              # Convention: keep worktrees here
│   ├── feature-a/           # First worktree
│   └── feature-b/           # Second worktree
└── src/                     # Main worktree files

Setup After Creating Worktree

After creating a worktree, you typically need to:

bash
cd .worktrees/my-feature

# Install dependencies
npm install  # or pnpm install, yarn, etc.

# Copy any required env files
cp ../.env .env.local

# Verify setup
npm test

Safety Rules

NEVER remove a worktree with uncommitted changes without confirmation.

bash
# Check for uncommitted changes first
git -C .worktrees/my-feature status --porcelain

# If empty, safe to remove
git worktree remove .worktrees/my-feature

# Delete the branch after merge (-d is safe, fails if not merged)
git branch -d feat/my-feature

Removal Decision Matrix

PR Merged?Uncommitted Changes?Action
YesNoSafe to remove
YesYesAsk user - changes will be lost
NoNoDo NOT remove - work not preserved
NoYesDo NOT remove - active work

Cleaning Up Worktrees

Manual Cleanup

bash
# 1. Check if work is merged (if using GitHub)
gh pr list --head feat/my-feature --state merged

# 2. Check for uncommitted changes
git -C .worktrees/my-feature status --porcelain

# 3. Remove worktree (only if merged or confirmed with user)
git worktree remove .worktrees/my-feature

# 4. Delete branch
git branch -d feat/my-feature

Prune Stale Worktrees

If a worktree directory was deleted manually:

bash
git worktree prune

Common Patterns

Review a PR

bash
# Create worktree from PR branch
git fetch origin pull/123/head:pr-123
git worktree add .worktrees/pr-123 pr-123

# Review, test, then clean up
git worktree remove .worktrees/pr-123
git branch -D pr-123

Parallel Feature Development

bash
# Main work continues in project root
# Start new feature in worktree
git worktree add .worktrees/new-api -b feat/new-api

# Work on both simultaneously
code .worktrees/new-api  # Opens new VS Code window

Troubleshooting

"Branch already checked out"

A branch can only be checked out in one worktree at a time:

bash
# Find where branch is checked out
git worktree list

# Remove that worktree first, or use different branch

"Worktree directory not empty"

bash
# Force add if directory exists but isn't a worktree
git worktree add --force <path> <branch>

Locked Worktree

If a worktree is locked (prevents accidental removal):

bash
# Unlock it
git worktree unlock <path>

# Then remove
git worktree remove <path>

Frequently asked questions

What does the Git Worktrees AI skill do?

Work with git worktrees for isolated parallel development. Use when starting feature work in isolation, when need separate workspace without branch switching, or when cleaning up worktrees after PR merge.

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/heyitsnoah/claudesidian/tree/main/.agents/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 heyitsnoah 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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