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Coordinator Response Mode

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bradygaster
coordinator-response-mode

Selecting WHO handles work is the Routing table; selecting HOW they handle it (Direct, Lightweight, Standard, Full) is Response Mode. This skill contains the complete decision table, exemplar prompts for each mode, the Lightweight spawn template, and the upgrade rules. Squad coordinator loads this on demand once routing has identified the agent — to pick the right ceremony level for the task.

Overview

Publisherbradygaster
Repositorysquad
Skill namecoordinator-response-mode
Stars
3.3K
Forks
506
Bundled files
Instructions only
LicenseMIT
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 bradygaster on GitHub. Read the source before you install it.

Installation

Install the Coordinator Response Mode 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/bradygaster/squad/tree/dev/packages/squad-cli/templates/skills/coordinator-response-mode
  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/bradygaster/squad.git /tmp/squad
mkdir -p .claude/skills
cp -r /tmp/squad/packages/squad-cli/templates/skills/coordinator-response-mode .claude/skills/coordinator-response-mode
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Coordinator Response Mode 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 Coordinator Response Mode 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 Coordinator Response Mode 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.

Load this skill when: you have routed work to an agent and need to pick the response mode (Direct / Lightweight / Standard / Full). The 1-line stub in squad.agent.md is for awareness; this skill is the full decision table + templates.

Response Mode Selection

After routing determines WHO handles work, select the response MODE based on task complexity. Bias toward upgrading — when uncertain, go one tier higher rather than risk under-serving.

ModeWhenHowTarget
DirectStatus checks, factual questions the coordinator already knows, simple answers from contextCoordinator answers directly — NO agent spawn~2-3s
LightweightSingle-file edits, small fixes, follow-ups, simple scoped read-only queriesSpawn ONE agent with minimal prompt (see Lightweight Spawn Template below). Use agent_type: "explore" for read-only queries~8-12s
StandardNormal tasks, single-agent work requiring full contextSpawn one agent with full ceremony — charter inline, history read, decisions read. This is the current default~25-35s
FullMulti-agent work, complex tasks touching 3+ concerns, "Team" requestsParallel fan-out, full ceremony, Scribe included~40-60s

Direct Mode exemplars

Coordinator answers instantly, no spawn:

  • "Where are we?" → Summarize current state from context: branch, recent work, what the team's been doing. A user favorite — make it instant.
  • "How many tests do we have?" → Run a quick command, answer directly.
  • "What branch are we on?" → git branch --show-current, answer directly.
  • "Who's on the team?" → Answer from team.md already in context.
  • "What did we decide about X?" → Answer from decisions.md already in context.

Lightweight Mode exemplars

One agent, minimal prompt:

  • "Fix the typo in README" → Spawn one agent, no charter, no history read.
  • "Add a comment to line 42" → Small scoped edit, minimal context needed.
  • "What does this function do?" → agent_type: "explore" (Haiku model, fast).
  • Follow-up edits after a Standard/Full response — context is fresh, skip ceremony.

Standard Mode exemplars

One agent, full ceremony:

  • "{AgentName}, add error handling to the export function"
  • "{AgentName}, review the prompt structure"
  • Any task requiring architectural judgment or multi-file awareness.

Full Mode exemplars

Multi-agent, parallel fan-out:

  • "Team, build the login page"
  • "Add OAuth support"
  • Any request that touches 3+ agent domains.

Mode upgrade rules

  • If a Lightweight task turns out to need history or decisions context → treat as Standard.
  • If uncertain between Direct and Lightweight → choose Lightweight.
  • If uncertain between Lightweight and Standard → choose Standard.
  • Never downgrade mid-task. If you started Standard, finish Standard.

Lightweight Spawn Template

Skip charter, history, and decisions reads — just the task:

agent_type: "general-purpose"
model: "{resolved_model}"
mode: "background"
name: "{name}"
description: "{emoji} {Name}: {brief task summary}"
prompt: |
  You are {Name}, the {Role} on this project.
  TEAM ROOT: {team_root}
  CURRENT_DATETIME: <resolved CURRENT_DATETIME literal>
  WORKTREE_PATH: {worktree_path}
  WORKTREE_MODE: {true|false}
  **Requested by:** {current user name}

  {% if WORKTREE_MODE %}
  **WORKTREE:** Working in `{WORKTREE_PATH}`. All operations relative to this path. Do NOT switch branches.
  {% endif %}

  TASK: {specific task description}
  TARGET FILE(S): {exact file path(s)}

  Do the work. Keep it focused.
  If you made a meaningful decision, persist it with `memory.write` (class: `decision`) when available, or fall back to `squad_decide` / `squad_state_write` to `decisions/inbox/{name}-{brief-slug}.md`. Do not run git notes, switch branches, or write mutable `.squad/` state by hand.

  ⚠️ OUTPUT: Report outcomes in human terms. Never expose tool internals or SQL.
  ⚠️ RESPONSE ORDER: After ALL tool calls, write a plain text summary as FINAL output.

For read-only queries, use the explore agent: agent_type: "explore" with "You are {Name}, the {Role}. CURRENT_DATETIME: <resolved CURRENT_DATETIME literal> — {question} TEAM ROOT: {team_root}"

Frequently asked questions

What does the Coordinator Response Mode AI skill do?

Selecting WHO handles work is the Routing table; selecting HOW they handle it (Direct, Lightweight, Standard, Full) is Response Mode. This skill contains the complete decision table, exemplar prompts for each mode, the Lightweight spawn template, and the upgrade rules. Squad coordinator loads this on demand once routing has identified the agent — to pick the right ceremony level for the task.

Why use Coordinator Response Mode on TypingMind?

Because you install it once and use it with any model. Coordinator Response Mode 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 Coordinator Response Mode in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bradygaster/squad/tree/dev/packages/squad-cli/templates/skills/coordinator-response-mode. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Coordinator Response Mode?

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 Coordinator Response Mode?

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

Is the Coordinator Response Mode AI skill free?

Yes. It is published on GitHub by bradygaster 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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