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Worktree

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shibing624
worktree

Isolate parallel work in a git worktree of the current repository (worktree tool: status / new / merge / remove). Use when another live session is dirty in the same directory (list_agents), when two agents would fight over index.lock, or when starting a parallel task checkout.

Overview

Publishershibing624
Repositoryagentica
Skill nameworktree
Stars
357
Forks
48
Bundled files
Instructions only
LicenseApache-2.0
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 shibing624 on GitHub. Read the source before you install it.

Installation

Install the Worktree 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/shibing624/agentica/tree/main/agentica/skills/bundled/worktree
  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/shibing624/agentica.git /tmp/agentica
mkdir -p .claude/skills
cp -r /tmp/agentica/agentica/skills/bundled/worktree .claude/skills/worktree
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Worktree 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 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 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.

Isolate work in a worktree

Several sessions in one checkout overwrite each other and contend for git's index. A worktree is one directory + one branch per task, sharing the repository.

This session does not move. worktree(action="new") returns a path. Pass that path as work_dir on read_file / write_file / apply_patch / execute. On glob / grep, pass it as path. Omit those arguments and the call stays in this session's directory.

Do not cd and expect later calls to follow — each call is independent. Do not execute git worktree add: that only makes a directory, and later calls still use this session unless you pass work_dir / path. Use worktree(action="new").

When

  • list_agents shows another session in this directory (dirty files, same branch) and you are about to edit.
  • A change should not land on the shared working tree.

Not this: a read-only task subagent (it does not write). A second CLI that should start already inside a tree is agentica --worktree <task>.

How

Name the task, not yourself. Reused while the checkout is healthy; gone after merge. A registration that is no longer a checkout is refused — remove it first, or pick another name. The tool does not delete leftover files to make room.

  • worktree(action="new", name="<task>") — create or reuse; returns the path
  • worktree(action="status") — every worktree of this repo
  • worktree(action="merge", name="<task>") — land on local main (conflicts stay in that worktree, then fast-forward on main), delete the checkout
  • worktree(action="remove", name="<task>") — drop a wt/* checkout git will allow (dirty is refused; an unmerged branch is left in place)

new(name="main") is refused: main is the repository root, not a task.

For a chunk of work big enough for its own process, delegate(task=..., work_dir=<path>) already takes the same path.

If a directory goes missing, status labels it (directory gone) or (not a checkout). Say so; do not rebuild it by destroying what sits there. remove the name, then new if you still want it.

Frequently asked questions

What does the Worktree AI skill do?

Isolate parallel work in a git worktree of the current repository (worktree tool: status / new / merge / remove). Use when another live session is dirty in the same directory (list_agents), when two agents would fight over index.lock, or when starting a parallel task checkout.

Why use Worktree on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/shibing624/agentica/tree/main/agentica/skills/bundled/worktree. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Worktree?

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?

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

Is the Worktree AI skill free?

Yes. It is published on GitHub by shibing624 under the Apache-2.0 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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