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Worker

Organization
IAPro-Community
worker

Team worker protocol (ACK, mailbox, task lifecycle) for tmux-based OMX teams

Overview

PublisherIAPro-Community
RepositoryOrquestrador-Maestro
Skill nameworker
Stars
63
Forks
11
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 IAPro-Community on GitHub. Read the source before you install it.

Installation

Install the Worker 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/IAPro-Community/Orquestrador-Maestro/tree/v1/codex/skills/worker
  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/IAPro-Community/Orquestrador-Maestro.git /tmp/Orquestrador-Maestro
mkdir -p .claude/skills
cp -r /tmp/Orquestrador-Maestro/codex/skills/worker .claude/skills/worker
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Worker 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 Worker 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 Worker 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.

Worker Skill

This skill is for a Codex session that was started as an OMX Team worker (a tmux pane spawned by $team).

Identity

You MUST be running with OMX_TEAM_WORKER set. It looks like:

<team-name>/worker-<n>

Example: alpha/worker-2

Load Worker Skill Path (Claude/Codex)

When a worker inbox tells you to load this skill, resolve the first existing path:

  1. ${CODEX_HOME:-~/.codex}/skills/worker/SKILL.md
  2. ~/.codex/skills/worker/SKILL.md
  3. <leader_cwd>/.codex/skills/worker/SKILL.md
  4. <leader_cwd>/skills/worker/SKILL.md (repo fallback)

Startup Protocol (ACK)

  1. Parse OMX_TEAM_WORKER into:
    • teamName (before the /)
    • workerName (after the /, usually worker-<n>)
  2. Send a startup ACK to the lead mailbox before task work:
    • Recipient worker id: leader-fixed
    • Body: one short deterministic line (recommended: ACK: <workerName> initialized).
  3. After ACK, proceed to your inbox instructions.

The lead will see your message in:

<team_state_root>/team/<teamName>/mailbox/leader-fixed.json

Use CLI interop:

  • omx team api send-message --input <json> --json with {team_name, from_worker, to_worker:"leader-fixed", body}

Copy/paste template:

bash
omx team api send-message --input "{\"team_name\":\"<teamName>\",\"from_worker\":\"<workerName>\",\"to_worker\":\"leader-fixed\",\"body\":\"ACK: <workerName> initialized\"}" --json

Inbox + Tasks

  1. Resolve canonical team state root in this order:
    1. OMX_TEAM_STATE_ROOT env
    2. worker identity team_state_root
    3. team config/manifest team_state_root
    4. local cwd fallback (.omx/state)
  2. Read your inbox: <team_state_root>/team/<teamName>/workers/<workerName>/inbox.md
  3. Pick the first unblocked task assigned to you.
  4. Read the task file: <team_state_root>/team/<teamName>/tasks/task-<id>.json (example: task-1.json)
  5. Task id format:
    • The MCP/state API uses the numeric id ("1"), not "task-1".
    • Never use legacy tasks/{id}.json wording.
  6. Claim the task (do NOT start work without a claim) using claim-safe lifecycle CLI interop (omx team api claim-task --json).
  7. Do the work.
  8. Complete/fail the task via lifecycle transition CLI interop (omx team api transition-task-status --json) from in_progress to completed or failed.
    • Do NOT directly write lifecycle fields (status, owner, result, error) in task files.
  9. Use omx team api release-task-claim --json only for rollback/requeue to pending (not for completion).
  10. Update your worker status: <team_state_root>/team/<teamName>/workers/<workerName>/status.json with {"state":"idle", ...}

Mailbox

Check your mailbox for messages:

<team_state_root>/team/<teamName>/mailbox/<workerName>.json

When notified, read messages and follow any instructions. Use short ACK replies when appropriate.

Note: leader dispatch is state-first. The durable queue lives at: <team_state_root>/team/<teamName>/dispatch/requests.json Hooks/watchers may nudge you after mailbox/inbox state is already written.

Use CLI interop:

  • omx team api mailbox-list --json to read
  • omx team api mailbox-mark-delivered --json to acknowledge delivery

Copy/paste templates:

bash
omx team api mailbox-list --input "{\"team_name\":\"<teamName>\",\"worker\":\"<workerName>\"}" --json
omx team api mailbox-mark-delivered --input "{\"team_name\":\"<teamName>\",\"worker\":\"<workerName>\",\"message_id\":\"<MESSAGE_ID>\"}" --json

Dispatch Discipline (state-first)

Worker sessions should treat team state + CLI interop as the source of truth.

  • Prefer inbox/mailbox/task state and omx team api ... --json operations.
  • Do not rely on ad-hoc tmux keystrokes as a primary delivery channel.
  • If a manual trigger arrives (for example tmux send-keys nudge), treat it only as a prompt to re-check state and continue through the normal claim-safe lifecycle.

Shutdown

If the lead sends a shutdown request, follow the shutdown inbox instructions exactly, write your shutdown ack file, then exit the Codex session.

Frequently asked questions

What does the Worker AI skill do?

Team worker protocol (ACK, mailbox, task lifecycle) for tmux-based OMX teams

Why use Worker on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/IAPro-Community/Orquestrador-Maestro/tree/v1/codex/skills/worker. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Worker?

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 Worker?

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

Is the Worker AI skill free?

Yes. It is published on GitHub by IAPro-Community 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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