Worktree Manager Skill

CommunityPopular

disler

worktree-manager-skill

Comprehensive git worktree management. Use when the user wants to create, remove, list, or manage worktrees. Handles all worktree operations including creation, deletion, and status checking.

Overview

Publisher	disler
Repository	`claude-code-hooks-multi-agent-observability`
Skill name	`worktree-manager-skill`
Stars	1.5K
Forks	384
Bundled files	4
Links	Skill source Repository

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.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by disler on GitHub. Read the source before you install it.

Installation

Install the Worktree Manager Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/disler/claude-code-hooks-multi-agent-observability/tree/main/.claude/skills/worktree-manager-skill
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/disler/claude-code-hooks-multi-agent-observability/tree/main/.claude/skills/worktree-manager-skill

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/disler/claude-code-hooks-multi-agent-observability.git /tmp/claude-code-hooks-multi-agent-observability
mkdir -p .claude/skills
cp -r /tmp/claude-code-hooks-multi-agent-observability/.claude/skills/worktree-manager-skill .claude/skills/worktree-manager-skill

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Worktree Manager Skill 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 Worktree Manager Skill 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 Worktree Manager Skill 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.

Worktree Manager Skill

Complete worktree lifecycle management for parallel development environments with isolated ports, databases, and configuration.

When to use this skill

Use this skill when the user wants to:

Create a new worktree for parallel development
Remove an existing worktree
List all worktrees and their status
Check worktree configuration or status
Manage multiple parallel development environments

Do NOT use this skill when:

User asks for a specific subagent or skill delegation
User wants to manually use git commands directly
The task is unrelated to worktree management

Operations Overview

This skill manages three core worktree operations:

Operation	Command	When to Use
Create	`/create_worktree`	User wants a new parallel environment
List	`/list_worktrees`	User wants to see existing worktrees
Remove	`/remove_worktree`	User wants to delete a worktree

Decision Tree: Which Command to Use

1. User wants to CREATE a worktree

Keywords: create, new, setup, make, build, start, initialize Action: Use /create_worktree <branch-name> [port-offset]

2. User wants to LIST worktrees

Keywords: list, show, display, what, which, status, check, view Action: Use /list_worktrees

3. User wants to REMOVE a worktree

Keywords: remove, delete, cleanup, destroy, stop, kill, terminate Action: Use /remove_worktree <branch-name>

Quick Start

For step-by-step operation instructions, see OPERATIONS.md.

For detailed examples and usage patterns, see EXAMPLES.md.

For troubleshooting and common issues, see TROUBLESHOOTING.md.

For technical details and quick reference, see REFERENCE.md.

Important Notes

Do NOT attempt to:

Create worktrees manually with git commands
Manually configure ports or environment files
Use bash to remove directories directly
Manage worktree processes manually

Always use the slash commands because they:

Handle all configuration automatically
Ensure port uniqueness
Validate operations
Provide comprehensive error handling
Clean up properly on removal

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 Worktree Manager Skill AI skill do?

Comprehensive git worktree management. Use when the user wants to create, remove, list, or manage worktrees. Handles all worktree operations including creation, deletion, and status checking.

Why use Worktree Manager Skill on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/disler/claude-code-hooks-multi-agent-observability/tree/main/.claude/skills/worktree-manager-skill. 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 Worktree Manager Skill?

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 Worktree Manager Skill?

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

Is the Worktree Manager Skill AI skill free?

It is published on GitHub by disler. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Worktree Manager Skill

When to use this skill

Operations Overview

Decision Tree: Which Command to Use

1. User wants to CREATE a worktree

2. User wants to LIST worktrees

3. User wants to REMOVE a worktree

Quick Start

Important Notes

Do NOT attempt to:

Always use the slash commands because they:

Bundled files

Frequently asked questions

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