Coordinate logo

Coordinate

OrganizationPopular
QwenLM
coordinate

Coordinate a small team of Qwen Code teammates with enforced read-only workers, an optional worktree-pinned writer, shared tasks, peer messages, and existing Agent View tabs. Invoke explicitly with /coordinate.

Overview

PublisherQwenLM
Repositoryqwen-code
Skill namecoordinate
Stars
27.9K
Forks
3.1K
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 QwenLM on GitHub. Read the source before you install it.

Installation

Install the Coordinate 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/QwenLM/qwen-code.git /tmp/qwen-code
mkdir -p .claude/skills
cp -r /tmp/qwen-code/packages/core/src/skills/bundled/coordinate .claude/skills/coordinate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Coordinate 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 Coordinate 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 Coordinate 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.

Coordinate Qwen Code Teammates

Act as the team leader. Decompose the goal, keep task ownership clear, reconcile disagreements, and deliver the final result.

Build one bounded team

When team_create is available:

  1. Create one team and one self-contained task per current investigation workstream. Do not queue an implementation task while read-only teammates are idle because tasks are auto-assigned.
  2. Spawn named investigation teammates with read_only: true — one per workstream, and prefer three at most. Never exceed the team's configured cap, which team_create reports; spawning past it fails outright. Do not pass model; use the session-default model unless the selected agent definition explicitly overrides it.
  3. Assign tasks and let teammates collaborate through send_message and the shared task list. Send targeted follow-ups when evidence conflicts, a task needs clarification, or a result is incomplete.
  4. Accept or reject each result based on its evidence. Reassign rejected work instead of silently using it.

Read-only teammates have a positive execution allowlist. They cannot use shell, edit or write files, save memory, create schedules, invoke arbitrary deferred tools, or spawn agents. This is enforced by the runtime, not only by this prompt.

Pin the only writer to a worktree

When the goal requires code changes:

  1. Finish the parallel investigation first.
  2. Call request_shutdown for each investigation teammate. Once shutdown is pending, they are excluded from automatic task assignment.
  3. Call enter_worktree once and keep the returned path.
  4. Create the implementation task, then spawn exactly one named writer with subagent_type: "general-purpose" and working_dir: <path>. Do not set read_only for this teammate.
  5. Give the writer the accepted investigation evidence and require all changes to stay inside the worktree.
  6. Review and verify the worktree result. The leader alone decides whether and how to integrate it into the current branch.
  7. Do not remove the worktree until accepted changes have been integrated or deliberately discarded.

If the checkout is not a Git repository or worktree creation fails, keep all teammates read-only and let the leader make the final change in the current checkout.

After synthesis, call request_shutdown for each still-active teammate, then delete the team.

The existing Agent View tabs show teammate conversations, messages, status, and approvals. Do not create another roster, session manager, or terminal UI.

If the Agent Team tools are unavailable, say that experimental.agentTeam must be enabled and Qwen Code restarted. Ordinary subagents are an acceptable fallback for parallel research, but describe them accurately: they report only to the leader and cannot collaborate as a team.

Keep coordination bounded

  • Use one teammate for a narrow task. Past roughly three, the leader spends more of its turn reconciling reports than doing the work, so add a fourth only when the workstreams are genuinely independent — and never past the configured cap.
  • Give every task an objective, scope, completion condition, and required evidence.
  • Default every teammate to read_only: true; add one worktree writer only when implementation is required.
  • Do not use Arena: it is for competing solutions to the same task, not collaboration on different tasks.
  • Do not claim that in-process teammates are independent PTY sessions or heterogeneous CLIs.
  • Finish implementation before running the smallest relevant verification once.

Return the outcome, material evidence or disagreements, changes made by the leader, verification, and remaining risks.

Frequently asked questions

What does the Coordinate AI skill do?

Coordinate a small team of Qwen Code teammates with enforced read-only workers, an optional worktree-pinned writer, shared tasks, peer messages, and existing Agent View tabs. Invoke explicitly with /coordinate.

Why use Coordinate on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/QwenLM/qwen-code/tree/main/packages/core/src/skills/bundled/coordinate. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Coordinate?

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 Coordinate?

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

Is the Coordinate AI skill free?

Yes. It is published on GitHub by QwenLM 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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