Using Git Worktrees logo

Using Git Worktrees

Community
roundpilot
using-git-worktrees

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools

Overview

Publisherroundpilot
Repositorysuperpowers-antigravity
Skill nameusing-git-worktrees
Stars
74
Forks
7
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 roundpilot on GitHub. Read the source before you install it.

Installation

Install the Using 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/roundpilot/superpowers-antigravity/tree/main/skills/using-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/roundpilot/superpowers-antigravity.git /tmp/superpowers-antigravity
mkdir -p .claude/skills
cp -r /tmp/superpowers-antigravity/skills/using-git-worktrees .claude/skills/using-git-worktrees
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Using 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 Using 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 Using 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.

Using Git Worktrees

Overview

Ensure work happens in an isolated workspace using Antigravity 2.0's native workspace isolation.

Core principle: Detect existing isolation first. Then use Workspace: "branch" on invoke_subagent. Never use manual git worktree add.

Announce at start: "I'm using the using-git-worktrees skill to set up an isolated workspace."

Step 0: Detect Existing Isolation

Before creating anything, check if you are already in an isolated workspace.

Verify Git Repository Existence:

If not inside a git repository, you cannot use worktrees. Check if you need to run git init first.

bash
if ! git rev-parse --is-inside-work-tree &>/dev/null; then
    echo "ERROR: Not inside a Git repository."
    exit 1
fi
bash
GIT_DIR=$(cd "$(git rev-parse --git-dir)" 2>/dev/null && pwd -P)
GIT_COMMON=$(cd "$(git rev-parse --git-common-dir)" 2>/dev/null && pwd -P)
BRANCH=$(git branch --show-current)

Submodule guard: GIT_DIR != GIT_COMMON is also true inside git submodules. Verify:

bash
git rev-parse --show-superproject-working-tree 2>/dev/null

If GIT_DIR != GIT_COMMON (and not a submodule): Already isolated. Skip to Step 2.

If GIT_DIR == GIT_COMMON (or in a submodule): Normal repo. Proceed to Step 1.

Step 1: Create Isolated Workspace

For subagent tasks: Use Workspace: "branch" parameter on invoke_subagent. This creates an isolated workspace on a new git branch automatically. The platform handles directory placement, branch creation, and cleanup.

For parent orchestrator feature branches: Use git checkout -b <branch> directly. No worktree needed — the orchestrator works in place on a feature branch.

Step 2: Project Setup

Auto-detect and run appropriate setup:

bash
# Node.js
if [ -f package.json ]; then npm install; fi

# Rust
if [ -f Cargo.toml ]; then cargo build; fi

# Python
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
if [ -f pyproject.toml ]; then poetry install; fi

# Go
if [ -f go.mod ]; then go mod download; fi

Step 3: Verify Clean Baseline

Run tests to ensure workspace starts clean:

bash
npm test / cargo test / pytest / go test ./...

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

Quick Reference

SituationAction
Already in linked worktreeSkip creation (Step 0)
In a submoduleTreat as normal repo (Step 0 guard)
Subagent taskWorkspace: "branch" on invoke_subagent
Parent orchestratorgit checkout -b <branch>
Tests fail during baselineReport failures + ask

Workspace Mode Decision Table

Antigravity 2.0 supports three workspace modes for subagents. Choose based on the agent's role:

ModeSyntaxUse forExample
branchWorkspace: "branch"Agents that need isolated write accessImplementers, fixers
inheritWorkspace: "inherit"Read-only agentsReviewers, analyzers
shareWorkspace: "share"Agents editing different files in same repoParallel fixers on separate test files

Rules of thumb:

  • If the agent writes code → branch
  • If the agent only reads and reports → inherit
  • If multiple agents edit non-overlapping files → share

Red Flags

Never:

  • Use git worktree add — use Workspace: "branch" instead
  • Create a worktree when Step 0 detects existing isolation
  • Skip baseline test verification
  • Proceed with failing tests without asking

Always:

  • Run Step 0 detection first
  • Use native workspace isolation
  • Auto-detect and run project setup
  • Verify clean test baseline

Frequently asked questions

What does the Using Git Worktrees AI skill do?

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools

Why use Using Git Worktrees on TypingMind?

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

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

Which AI models can use Using 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 Using Git Worktrees?

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

Is the Using Git Worktrees AI skill free?

Yes. It is published on GitHub by roundpilot 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇