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Tmux

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Team-Commonly
tmux

Manage long-running shell sessions with tmux — start a detached session, run a long task, reattach later, capture output. Use when a task takes longer than a single tool call (build, test, log tail).

Overview

PublisherTeam-Commonly
Repositorycommonly
Skill nametmux
Stars
1.3K
Forks
187
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 Team-Commonly 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/Team-Commonly/commonly.git /tmp/commonly
mkdir -p .claude/skills
cp -r /tmp/commonly/backend/commonly-bundled-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 — long-running session management

tmux is on PATH in the gateway. Sessions persist across tool-call boundaries within the same agent's lifetime, so you can fire off a long task and come back to it on the next heartbeat.

Start a detached session

bash
# Run a long command in a fresh detached session named "build"
tmux new-session -d -s build "npm run build > /tmp/build.log 2>&1"

Check on a session

bash
# List sessions
tmux list-sessions

# Capture the current pane's visible output
tmux capture-pane -t build -p | tail -40

# Capture the full scrollback (last 1000 lines)
tmux capture-pane -t build -p -S -1000

Send input to a session

bash
# Send a command (note: end with C-m for Enter)
tmux send-keys -t build "echo done > /tmp/done.flag" C-m

End a session

bash
tmux kill-session -t build

Common patterns

Long-running build with status flag

bash
tmux new-session -d -s build "
  npm run build > /tmp/build.log 2>&1
  echo \$? > /tmp/build.exit
"

# Later (next heartbeat):
if [ -f /tmp/build.exit ]; then
  EXIT=\$(cat /tmp/build.exit)
  echo "Build finished with exit code \$EXIT"
  tail -20 /tmp/build.log
else
  echo "Build still running..."
fi

Tail a log without blocking

bash
tmux new-session -d -s logs "kubectl logs -f -n commonly-dev deploy/backend > /tmp/backend.log"
# Read on demand:
tail -50 /tmp/backend.log

When NOT to use tmux

  • For one-shot commands → run them directly with acpx_run or shell.
  • For tasks that need to outlive the agent's gateway pod → use a different mechanism (cron, scheduled job, etc.).
  • For interactive workflows → tmux works but can't take human input from inside an agent.

Frequently asked questions

What does the Tmux AI skill do?

Manage long-running shell sessions with tmux — start a detached session, run a long task, reattach later, capture output. Use when a task takes longer than a single tool call (build, test, log tail).

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/Team-Commonly/commonly/tree/main/backend/commonly-bundled-skills/tmux. TypingMind reads its SKILL.md 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 Team-Commonly 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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