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Tmux Fleet

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larcane97
tmux-fleet

Run several coding agents in parallel in tmux windows, each under its own clausona profile (another Claude Code or Codex account, or an API model such as GLM or DeepSeek), then watch them, check their work and retire them. Use when the user works in tmux, on their own machine or over SSH, and wants work spread across accounts or models, when one account's limits would slow a fan-out, or says "split this across my accounts in tmux", "run these on DeepSeek in tmux windows".

Overview

Publisherlarcane97
Repositoryclausona
Skill nametmux-fleet
Stars
57
Forks
11
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by larcane97 on GitHub. Read the source before you install it.

Installation

Install the Tmux Fleet 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/larcane97/clausona/tree/main/plugins/tmux-fleet/skills/tmux-fleet
  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/larcane97/clausona.git /tmp/clausona
mkdir -p .claude/skills
cp -r /tmp/clausona/plugins/tmux-fleet/skills/tmux-fleet .claude/skills/tmux-fleet
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tmux Fleet 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 Tmux Fleet 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 Tmux Fleet 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.

tmux fleet on clausona profiles

tmux runs each worker in a window of the session you are in, and its status bar lists them. clausona puts each window's agent on the profile you choose. tmux cannot tell what an agent is doing, so the helper that ships with this skill gives each worker a way to report it, and waits on those reports.

0. Load the shared rules

Load the fleet-core skill first and follow it; this skill only adds the tmux steps. In Claude Code, invoke it with the Skill tool. If that fails, or you run in Codex, read the first of these files that exists, where <base> is this skill's base directory:

  • <base>/../../../fleet-core/skills/fleet-core/SKILL.md
  • <base>/../../../../fleet-core/*/skills/fleet-core/SKILL.md (if several versions match, read the highest)

If none exists, stop and tell the user to install it: claude plugin install fleet-core@clausona in Claude Code, or codex plugin add fleet-core@clausona in Codex.

1. Before anything

Below, H means node <base>/scripts/tmux-fleet.mjs. Write it out in full, or start the command with the function H() { node <base>/scripts/tmux-fleet.mjs "$@"; }. Never put it in a variable: zsh does not split a variable into words. Every H command prints JSON, except H read, which prints the screen. Read window and pane ids from the JSON; never guess them.

Stop and tell the user what is missing if any of these fails.

  1. H status prints "ok": true. It fails outside tmux: the helper drives the tmux session you run in, so do not drive tmux from outside it. In Codex, TMUX also looks unset when Codex hides the environment (fleet-core, Shells). If it does, do not tell the user they are outside tmux: tell them to start Codex again in this pane with -c shell_environment_policy.inherit=all. tmux runs on macOS, Linux and WSL. On Windows without WSL there is no tmux: suggest herdr-fleet or orca-fleet.
  2. Pass on any warnings it prints. With bell-action set to none or current in the user's tmux (or other, while the user looks at that window), a Codex worker is noticed only by the quiet check (section 3).
  3. The repo has a remote: workers push their branches.

2. Starting a worker

For each task, after fleet-core picked its profile:

  1. Worktree. git -C <repo> worktree add -b fleet/<task> ~/.clausona/worktrees/<repo name>/<task>, where <repo name> is the name of the repo's folder. It branches from the commit the repo has checked out; add the base after the path if the user named one. If the branch or the path exists already, pick another task word.

  2. Start. H start --name <name> --label "<task> · <profile>" --worktree <worktree> --tool <claude|codex> -- <profile> <args>, with the arguments from fleet-core section 4. Codex workers keep --disable hooks.

    • The name, such as w1-docs, is lowercase letters, digits, - or _, starts with a letter and has 32 characters at most. Use it from now on.
    • Keep the label to 20 characters or fewer, with a short task word such as docs · ds-flash: the status bar cuts longer names, and the profile at the end shows which account runs where.
    • It opens a window in your session without switching to it, gives the worker its way to report (below), and types clausona run <profile> -- <args> … into the window's shell. Record .window and .pane.
  3. Check it started. About 10 seconds later, run H read --name <name> --lines 40. The tool has started when the screen shows its banner, its prompt or the trust question. If the screen still shows the shell and an error, tell the user what it says. Never type the launch line again into a screen that shows the tool: it would become the worker's first prompt.

  4. Folder trust. The first worker of a profile in a repo that profile never trusted asks whether to trust the folder. Answer only that question, and only about this repository:

    • Claude Code ("Is this a project you created or one you trust?"): the highlighted answer is "No, exit". Send H send --name <name> --keys Down Enter.
    • Codex ("Trust this folder?"): the highlighted answer is "1. Trust and continue". Send H send --name <name> --keys Enter.

    Then read the screen again, until it shows the tool's prompt.

  5. Brief. Write it as fleet-core section 5 says, then H send --name <name> --text "Read .fleet-brief.md in this folder and do what it says." and wait (section 3). In Codex, wait only once every worker has its brief.

  6. Record the name, window, pane, worktree, branch and profile in the table.

Start workers on the same Claude Code profile one at a time, each after the previous one shows its first output.

The user can switch to any worker's window (the tmux prefix, then the window's number), read along and type into it at any time.

How a worker reports. A Claude Code worker gets --settings <worktree>/.fleet-claude.json: hooks for that session only, on top of the shared settings, which record when a turn starts, ends or fails, when it stops at a permission prompt, and when the session ends. A Codex worker gets -c tui.notifications=true -c tui.notification_method=bel -c tui.notification_condition=always: it rings the terminal bell when it waits for approval and when a turn ends, and a tmux hook on its window records the bell. The records go to <worktree>/.fleet-events.jsonl. The helper adds /.fleet-* to the repo's info/exclude, so none of these files, and no brief, is ever committed.

3. Waiting and reading

  • Wait: in Claude Code, run H wait --name <name> as a background task for each worker whose task is not finished: right after you send it something, and again after you handle what its wait returned. You are woken when one returns. One wait per worker is enough; a second one does no harm, since each event is reported by one wait only. In Codex, see the last item below. A wait returns as soon as its worker needs you, with the worker's name and an event:

    • stopped: its turn ended. message holds a Claude Code worker's last reply, or its last 8000 characters when it is longer. Look for the DONE or BLOCKED line there first. When message is missing or has none, use fleet-core's last-reply.mjs, then the screen (fleet-core section 8).
    • failed: its turn ended on an API error, such as a usage or rate limit; message says which. For a limit that will not clear soon, see section 4.
    • blocked: it waits at a permission prompt or a question in a dialog. Read its screen.
    • bell: a Codex worker ended its turn or waits for approval. Read its screen to see which.
    • idle: a Claude Code worker has sat at its prompt for a minute without ending a turn. The user turned its prompt down, or your line never reached it. Read its screen.
    • ended: its session ended. Read its screen.
    • quiet: it should be working, but has printed nothing for three minutes and reported nothing. Read its screen: it is often a prompt or a question that nothing reported.
    • gone: its window or pane is gone; someone closed it. H retire needs the window, so keep the worker: report it with its worktree and branch, and let the user decide.
    • timeout: nothing happened for 30 minutes. Read the screens, then wait again.

    Each event is reported once, so a wait never returns at once on an event you already handled. Keep a worker that waits on the user in the wait: its next event comes when it ends its turn or stops at another prompt, or, if the user turned the prompt down with Esc, a minute later as idle.

  • Read: H read --name <name> --lines 120.

  • Follow-up: read the screen first, then write the file and send H send --name <name> --text "Read .fleet-followup-<n>.md in this folder and do what it says.", and wait. A worker at a prompt or in a dialog needs keys, not text: typed letters and digits would answer it. H send --text refuses a Claude Code worker that waits at a permission prompt; check a Codex worker's screen yourself.

  • A question in a dialog, such as a list to pick from: answer it with keys, for example H send --name <name> --keys Down Enter, only when you know the answer. Otherwise ask the user. A permission prompt is never yours to answer: tell the user which worker waits, and for what.

  • In Codex (one foreground wait at a time, three minutes each): give every worker its brief before you wait on any. Then run H wait --name <a> --name <b> … --timeout 180, handle what it returns, and wait again.

Do not loop over H read yourself, looking for a phrase.

4. When an account runs out

  1. H start --name <name> --handover --label "<task> · <new profile>" --tool <claude|codex> -- <new profile> <args>. It opens a new pane in the worker's window, in the same worktree, and starts the new profile there. It also renames the window to the new label, so the status bar names the new account. Record .pane; .replaces is the old pane.
  2. Check that it started, answer the trust question, and give it fleet-core section 9's brief, as in section 2, steps 3 to 5.
  3. tmux kill-pane -t <the .replaces id>. The worker keeps its name: wait on it as before.

5. Retiring

After fleet-core section 11's checks, run H retire --name <name>. Right before it removes anything, it checks again that the worktree is clean and the branch pushed. Then it runs git worktree remove without --force, closes the worker's window and keeps the branch. When it refuses, keep the worker and report why. When it succeeds, its JSON says "removed": true, and it has checked that the worktree directory is gone.

Never remove a worktree any other way, and never with --force. Never close windows or panes you did not create. The window you run in stays.

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 Tmux Fleet AI skill do?

Run several coding agents in parallel in tmux windows, each under its own clausona profile (another Claude Code or Codex account, or an API model such as GLM or DeepSeek), then watch them, check their work and retire them. Use when the user works in tmux, on their own machine or over SSH, and wants work spread across accounts or models, when one account's limits would slow a fan-out, or says "split this across my accounts in tmux", "run these on DeepSeek in tmux windows".

Why use Tmux Fleet on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/larcane97/clausona/tree/main/plugins/tmux-fleet/skills/tmux-fleet. 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 Tmux Fleet?

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 Tmux Fleet?

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

Is the Tmux Fleet AI skill free?

Yes. It is published on GitHub by larcane97 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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