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volcengine
tmux

Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.

Overview

Publishervolcengine
RepositoryOpenViking
Skill nametmux
Stars
37.9K
Forks
2.9K
Bundled files
2
LicenseAGPL-3.0
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Tmux 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/volcengine/OpenViking.git /tmp/OpenViking
mkdir -p .claude/skills
cp -r /tmp/OpenViking/bot/workspace/skills/tmux .claude/skills/tmux
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tmux 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 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 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 Skill

Use tmux only when you need an interactive TTY. Prefer exec background mode for long-running, non-interactive tasks.

Quickstart (isolated socket, exec tool)

bash
SOCKET_DIR="${NANOBOT_TMUX_SOCKET_DIR:-${TMPDIR:-/tmp}/vikingbot-tmux-sockets}"
mkdir -p "$SOCKET_DIR"
SOCKET="$SOCKET_DIR/vikingbot.sock"
SESSION=vikingbot-python

tmux -S "$SOCKET" new -d -s "$SESSION" -n shell
tmux -S "$SOCKET" send-keys -t "$SESSION":0.0 -- 'PYTHON_BASIC_REPL=1 python3 -q' Enter
tmux -S "$SOCKET" capture-pane -p -J -t "$SESSION":0.0 -S -200

After starting a session, always print monitor commands:

To monitor:
  tmux -S "$SOCKET" attach -t "$SESSION"
  tmux -S "$SOCKET" capture-pane -p -J -t "$SESSION":0.0 -S -200

Socket convention

  • Use NANOBOT_TMUX_SOCKET_DIR environment variable.
  • Default socket path: "$NANOBOT_TMUX_SOCKET_DIR/vikingbot.sock".

Targeting panes and naming

  • Target format: session:window.pane (defaults to :0.0).
  • Keep names short; avoid spaces.
  • Inspect: tmux -S "$SOCKET" list-sessions, tmux -S "$SOCKET" list-panes -a.

Finding sessions

  • List sessions on your socket: {baseDir}/scripts/find-sessions.sh -S "$SOCKET".
  • Scan all sockets: {baseDir}/scripts/find-sessions.sh --all (uses NANOBOT_TMUX_SOCKET_DIR).

Sending input safely

  • Prefer literal sends: tmux -S "$SOCKET" send-keys -t target -l -- "$cmd".
  • Control keys: tmux -S "$SOCKET" send-keys -t target C-c.

Watching output

  • Capture recent history: tmux -S "$SOCKET" capture-pane -p -J -t target -S -200.
  • Wait for prompts: {baseDir}/scripts/wait-for-text.sh -t session:0.0 -p 'pattern'.
  • Attaching is OK; detach with Ctrl+b d.

Spawning processes

  • For python REPLs, set PYTHON_BASIC_REPL=1 (non-basic REPL breaks send-keys flows).

Windows / WSL

  • tmux is supported on macOS/Linux. On Windows, use WSL and install tmux inside WSL.
  • This skill is gated to darwin/linux and requires tmux on PATH.

Orchestrating Coding Agents (Codex, Claude Code)

tmux excels at running multiple coding agents in parallel:

bash
SOCKET="${TMPDIR:-/tmp}/codex-army.sock"

# Create multiple sessions
for i in 1 2 3 4 5; do
  tmux -S "$SOCKET" new-session -d -s "agent-$i"
done

# Launch agents in different workdirs
tmux -S "$SOCKET" send-keys -t agent-1 "cd /tmp/project1 && codex --yolo 'Fix bug X'" Enter
tmux -S "$SOCKET" send-keys -t agent-2 "cd /tmp/project2 && codex --yolo 'Fix bug Y'" Enter

# Poll for completion (check if prompt returned)
for sess in agent-1 agent-2; do
  if tmux -S "$SOCKET" capture-pane -p -t "$sess" -S -3 | grep -q "❯"; then
    echo "$sess: DONE"
  else
    echo "$sess: Running..."
  fi
done

# Get full output from completed session
tmux -S "$SOCKET" capture-pane -p -t agent-1 -S -500

Tips:

  • Use separate git worktrees for parallel fixes (no branch conflicts)
  • pnpm install first before running codex in fresh clones
  • Check for shell prompt ( or $) to detect completion
  • Codex needs --yolo or --full-auto for non-interactive fixes

Cleanup

  • Kill a session: tmux -S "$SOCKET" kill-session -t "$SESSION".
  • Kill all sessions on a socket: tmux -S "$SOCKET" list-sessions -F '#{session_name}' | xargs -r -n1 tmux -S "$SOCKET" kill-session -t.
  • Remove everything on the private socket: tmux -S "$SOCKET" kill-server.

Helper: wait-for-text.sh

{baseDir}/scripts/wait-for-text.sh polls a pane for a regex (or fixed string) with a timeout.

bash
{baseDir}/scripts/wait-for-text.sh -t session:0.0 -p 'pattern' [-F] [-T 20] [-i 0.5] [-l 2000]
  • -t/--target pane target (required)
  • -p/--pattern regex to match (required); add -F for fixed string
  • -T timeout seconds (integer, default 15)
  • -i poll interval seconds (default 0.5)
  • -l history lines to search (integer, default 1000)

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 AI skill do?

Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.

Why use Tmux on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/volcengine/OpenViking/tree/main/bot/workspace/skills/tmux. 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?

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?

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

Is the Tmux AI skill free?

Yes. It is published on GitHub by volcengine under the AGPL-3.0 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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