Tmux

Community

eobarretooo

tmux

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

Overview

Publisher	eobarretooo
Repository	`ClawLite`
Skill name	`tmux`
Stars	51
Forks	10
Bundled files	2
License	MIT
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.
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 eobarretooo 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.

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/eobarretooo/ClawLite/tree/main/clawlite/skills/tmux
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.

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/eobarretooo/ClawLite.git /tmp/ClawLite
mkdir -p .claude/skills
cp -r /tmp/ClawLite/clawlite/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

Use tmux only when an interactive TTY is required. Prefer exec background mode for non-interactive long jobs.

Socket convention

bash
SOCKET_DIR="${CLAWLITE_TMUX_SOCKET_DIR:-${TMPDIR:-/tmp}/clawlite-tmux-sockets}"
mkdir -p "$SOCKET_DIR"
SOCKET="$SOCKET_DIR/clawlite.sock"
SESSION=clawlite-shell

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

Keep one socket per workflow or agent. That makes discovery, retries, and cleanup deterministic.

Finding sessions

Inspect one socket directly:

bash
bash clawlite/skills/tmux/scripts/find-sessions.sh -S "$SOCKET"

Scan every socket under CLAWLITE_TMUX_SOCKET_DIR:

bash
bash clawlite/skills/tmux/scripts/find-sessions.sh --all

The output is always socket:session, one row per line.

Watching output

Wait for a prompt or completion marker:

bash
bash clawlite/skills/tmux/scripts/wait-for-text.sh -S "$SOCKET" -t "$SESSION":0.0 -p '\$' -T 5

Use fixed-string mode when the marker should not be treated as regex:

bash
bash clawlite/skills/tmux/scripts/wait-for-text.sh -S "$SOCKET" -t "$SESSION":0.0 -F 'BUILD SUCCESS' -T 30 -i 1 -l 400

Orchestrating Coding Agents

Create a dedicated socket and session per agent:

bash
SOCKET="$SOCKET_DIR/agent-1.sock"
SESSION=agent-1

tmux -S "$SOCKET" new -d -s "$SESSION" -n shell
tmux -S "$SOCKET" send-keys -t "$SESSION":0.0 -l -- "pytest -q"
tmux -S "$SOCKET" send-keys -t "$SESSION":0.0 Enter
bash clawlite/skills/tmux/scripts/wait-for-text.sh -S "$SOCKET" -t "$SESSION":0.0 -p 'passed|failed' -T 120 -l 500

Prefer send-keys -l for literal commands, then send Enter separately. Capture pane history before reusing or tearing down a session.

Cleanup complete

Stop a single session:

bash
tmux -S "$SOCKET" kill-session -t "$SESSION"

Stop the whole socket server when nothing else should remain:

bash
tmux -S "$SOCKET" kill-server

Remove stale socket files only after tmux -S "$SOCKET" list-sessions or has-session confirms that no server is alive on that socket.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/find-sessions.sh2 KB
scripts/wait-for-text.sh3 KB

Frequently asked questions

What does the Tmux AI skill do?

Remote-control tmux sessions for interactive CLIs by sending keystrokes and capturing 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/eobarretooo/ClawLite/tree/main/clawlite/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 eobarretooo 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

tmux

Socket convention

Finding sessions

Watching output

Orchestrating Coding Agents

Cleanup complete

Bundled files

Frequently asked questions

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