Ce Worktree logo

Ce Worktree

OrganizationPopular
EveryInc
ce-worktree

Set up isolated git worktrees — create a new branch for fresh work, or attach a worktree to an existing branch, PR, or commit. Use when starting isolated work or isolating an existing ref.

Overview

PublisherEveryInc
Repositorycompound-engineering-plugin
Skill namece-worktree
Stars
25.1K
Forks
2.1K
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 EveryInc on GitHub. Read the source before you install it.

Installation

Install the Ce 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.
  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/EveryInc/compound-engineering-plugin.git /tmp/compound-engineering-plugin
mkdir -p .claude/skills
cp -r /tmp/compound-engineering-plugin/skills/ce-worktree .claude/skills/ce-worktree
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ce 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 Ce 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 Ce 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.

Worktree Isolation

Ensure the current work happens in an isolated workspace, without disturbing the user's main checkout. Most coding harnesses now create a worktree by default at session start, so the common case is that isolation already exists.

Done when: the caller is working in an isolated tree — existing or newly created — and its path and branch have been reported, or a blocker has been reported instead.

Order of operations: detect existing isolation -> prefer a native worktree tool -> fall back to plain git. Never create a worktree the harness cannot see.

Two modes, set by the caller's need:

  • New work (default). No ref named — create a fresh branch from a base (trunk). This is what ce-work and ce-code-review use when the user picks the worktree option.
  • Isolate an existing ref. The caller names a PR head, branch, or commit — attach the worktree to that ref instead of creating a new branch. A branch can be checked out in only one worktree at a time. If the named ref is already checked out anywhere (most commonly as the primary checkout's current branch), do not create a second worktree — report that it is already checked out at <path> and let the caller act (work there in place; or, only if a clean separate tree is essential, create a detached worktree at the same commit).

Step 0: Detect existing isolation

Compare the resolved absolute git dir against the resolved absolute common git dir. Git mixes absolute and relative forms depending on the current directory (from a subdirectory of a normal checkout, --git-dir comes back absolute while --git-common-dir may be relative), so a raw string compare yields a false "already isolated":

bash
git rev-parse --absolute-git-dir                     # absolute git dir for this worktree
(cd "$(git rev-parse --git-common-dir)" && pwd -P)   # absolute shared (common) git dir

Equal -> normal checkout; continue to Step 1.

Different -> a linked worktree or a submodule. Distinguish with git rev-parse --show-superproject-working-tree:

  • Non-empty -> submodule; treat it as a normal checkout and continue to Step 1.
  • Empty -> already isolated. Report the worktree path (git rev-parse --show-toplevel) and current branch, then work in place — a worktree-from-worktree lands in the wrong tree and is invisible to the harness that made the current one. In isolate-an-existing-ref mode, check that ref out here (unless it is already current) rather than nesting a worktree.

Step 1: Prefer the harness's native worktree tool

If the harness provides a native worktree primitive — for example an EnterWorktree / WorktreeCreate tool, a /worktree command, or a --worktree flag — use it and stop. Native tools place, track, and clean up the worktree so the harness can manage it. A behind-the-back git worktree add creates phantom state the harness cannot see, navigate to, or clean up.

Step 2: Git fallback

Only when there is no native tool and Step 0 found no existing isolation.

  1. Run from the repo root: cd "$(git rev-parse --show-toplevel)". The paths below are repo-root-relative, but the skill runs from the user's current directory — without this, .worktrees/<branch> and the .gitignore edit land in a subdirectory (e.g. src/.worktrees/...).
  2. Choose a meaningful branch name from the work description (e.g. feat/login, fix/email-validation) — never an opaque auto-generated one. Base: origin's default branch, else main.
  3. Ensure .worktrees/ is gitignored before creating anything: git check-ignore -q .worktrees/with the trailing slash, so an existing directory-only .worktrees/ rule is honored even before the directory exists (without the slash the probe misses it and dirties a correctly-configured repo). Not ignored -> add a .worktrees/ line to .gitignore.
  4. Refresh the base with git fetch origin <from-branch>. This is non-fatal — no origin remote, a differently-named remote, or a local-only branch is not an abort; continue with the local ref.
  5. Create the worktree, per mode:
    • New work: git worktree add -b <branch-name> .worktrees/<branch-name> origin/<from-branch> (use the local <from-branch> ref if origin/<from-branch> does not exist).
    • Existing branch or tag: git worktree add .worktrees/<slug> <target-ref>.
    • PR: check it out on a local branchgit fetch origin pull/<n>/head:pr-<n> then git worktree add .worktrees/pr-<n> pr-<n>. Never a detached FETCH_HEAD: that orphans the fix loop's commits instead of updating the PR. (For push-tracking back to the PR, create it detached — git worktree add --detach .worktrees/pr-<n> — then cd in and run gh pr checkout <n>, which is fork-safe.)
    • If git reports the ref is already checked out elsewhere, apply the one-branch-one-worktree rule above — do not force a second worktree.
  6. cd into it, then report the path and branch.

If git worktree add fails with a sandbox or permission error, the requested isolation does not exist. Do not proceed in the current checkout — the user chose isolation specifically to avoid it. Report the failure and ask, offering options such as "work in the current checkout" vs "stop and resolve the permission issue", using the host's blocking question tool already in the current tool list (match by capability, not by a host-specific name). Presence in the current tool list is proof the tool exists; never call a user-facing question tool to discover whether it exists. If a matching tool is listed but unloaded, use the host's tool-discovery primitive to load that capability — do not search for another host's tool name. Only when no such tool is in the list or a real question call errors, present the numbered options in chat and wait for the reply. Never skip the confirmation, and do not retry alternative paths automatically.

Frequently asked questions

What does the Ce Worktree AI skill do?

Set up isolated git worktrees — create a new branch for fresh work, or attach a worktree to an existing branch, PR, or commit. Use when starting isolated work or isolating an existing ref.

Why use Ce Worktree on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/EveryInc/compound-engineering-plugin/tree/main/skills/ce-worktree. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ce 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 Ce Worktree?

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

Is the Ce Worktree AI skill free?

Yes. It is published on GitHub by EveryInc 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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