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Parallel Worktrees

CommunityPopular
rohitg00
parallel-worktrees

Create and manage git worktrees for parallel coding sessions with zero dead time. Use when blocked on tests, builds, wanting to work on multiple branches, context switching, or exploring multiple approaches simultaneously.

Overview

Publisherrohitg00
Repositorypro-workflow
Skill nameparallel-worktrees
Stars
2.9K
Forks
286
Bundled files
Instructions only
Links
Skill sourceRepositoryHomepage
  • 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 rohitg00 on GitHub. Read the source before you install it.

Installation

Install the Parallel 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/rohitg00/pro-workflow.git /tmp/pro-workflow
mkdir -p .claude/skills
cp -r /tmp/pro-workflow/skills/parallel-worktrees .claude/skills/parallel-worktrees
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Parallel 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 Parallel 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 Parallel 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.

Parallel Worktrees

Zero dead time. While one session runs tests, work on something else.

Trigger

Use when waiting on tests, long builds, exploring approaches, or needing to review and develop simultaneously.

Quick Start

Claude Code:

bash
claude --worktree    # or claude -w (auto-creates isolated worktree)

Cursor / Any editor:

bash
git worktree add ../project-feat feature-branch
# Open the new worktree folder in a second editor window

Both approaches create an isolated working copy where changes don't interfere with your main session.

Claude Code Extras

These features are Claude Code-specific (skip if using Cursor):

  • claude -w auto-creates and cleans up worktrees
  • Subagents support isolation: worktree in agent frontmatter
  • Ctrl+F kills all background agents (two-press confirmation)
  • Ctrl+B sends a task to background

Workflow

  1. Show current worktrees: git worktree list
  2. Create a worktree for the parallel task.
  3. Open a new editor/terminal session in the worktree.
  4. When done, clean up the worktree.

Commands

bash
git worktree list

git worktree add ../project-feat feature-branch
git worktree add ../project-fix bugfix-branch
git worktree add ../project-exp -b experiment

git worktree remove ../project-feat
git worktree prune

Usage Pattern

Terminal 1: ~/project          → Main work
Terminal 2: ~/project-feat     → Feature development
Terminal 3: ~/project-fix      → Bug fixes

Each worktree runs its own AI session independently.

When to Parallelize

ScenarioAction
Tests running (2+ min)Start new feature in worktree
Long buildDebug issue in parallel
Exploring approachesCompare 2-3 simultaneously
Review + new workReviewer in one, dev in other
Waiting on CIStart next task in worktree

Guardrails

  • Each worktree is a full working copy — changes are isolated.
  • Before removing a worktree, verify changes are committed: git -C ../project-feat status
  • Don't forget to clean up worktrees when done (git worktree prune).
  • Avoid editing the same files in multiple worktrees simultaneously.

Output

  • Current worktree list
  • Created worktree path and branch
  • Instructions for opening a new session

Frequently asked questions

What does the Parallel Worktrees AI skill do?

Create and manage git worktrees for parallel coding sessions with zero dead time. Use when blocked on tests, builds, wanting to work on multiple branches, context switching, or exploring multiple approaches simultaneously.

Why use Parallel Worktrees on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rohitg00/pro-workflow/tree/main/skills/parallel-worktrees. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Parallel 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 Parallel Worktrees?

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

Is the Parallel Worktrees AI skill free?

It is published on GitHub by rohitg00. Check the repository for licensing terms. 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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