coordinator-response-mode
Skill227 starsChanged 9 months agoApache-2.0View on GitHub
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.
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 6 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
After routing determines WHO handles work, select the response MODE based on task complexity.
- Distinctive: line 40
Follow-up edits after a Standard/Full response — context is fresh, skip ceremony.
- Distinctive: line 60
If a Lightweight task turns out to need history or decisions context → treat as Standard.
- Distinctive: line 61
If uncertain between Direct and Lightweight → choose Lightweight.
- Distinctive: line 62
If uncertain between Lightweight and Standard → choose Standard.
- Distinctive: line 63
Never downgrade mid-task: If you started Standard, finish Standard.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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.mdis 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.
| Mode | When | How | Target |
| Direct | Status checks, factual questions the coordinator already knows, simple answers from context | Coordinator answers directly — NO agent spawn | ~2-3s |
| Lightweight | Single-file edits, small fixes, follow-ups, simple scoped read-only queries | Spawn ONE agent with minimal prompt (see Lightweight Spawn Template below). Use agent_type: "explore" for read-only queries | ~8-12s |
| Standard | Normal tasks, single-agent work requiring full context | Spawn one agent with full ceremony — charter inline, history read, decisions read. This is the current default | ~25-35s |
| Full | Multi-agent work, complex tasks touching 3+ concerns, "Team" requests | Parallel 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.mdalready in context. - "What did we decide about X?" → Answer from
decisions.mdalready 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}"
Other versions6 projects use a version of this.
Word for word · 5
- github/gh-aw★ 5.5k100% same
- microsoft/Generative-AI-for-beginners-dotnet★ 3.2k100% same
- kubefleet-dev/kubefleet★ 162100% same
- microsoft/github-vteam-industry-demos★ 2100% same
- microsoft/fsi-banking-payments-dispute-resolution-accelerator★ 0100% same
Edited · 1
- microsoft/waza★ 1.5k100% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use squad-commands and {skill-name}.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
MicrosoftSkillsquad-commands
Categorized catalog of common Squad operations. Coordinator reads this file and presents it as an interactive menu when the user asks for available commands or help.
Also in 3 projects that use this
MicrosoftSkill{skill-name}
{what this skill teaches agents}
Also in 5 projects that use this
In this repository21 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- agent-collaborationSkill
- coordinator-init-modeSkill
- coordinator-source-of-truthSkill
- cross-squad-communicationSkill
- cross-squadSkill
- error-recoverySkill
- git-workflowSkill
- iterative-retrievalSkill
- reflectSkill
- reviewer-protocolSkill
- secret-handlingSkill
- session-recoverySkill
- squad-conventionsSkill
- squad-helpSkill
- squadSkill
- squad-version-checkSkill
- test-disciplineSkill
- tiered-memorySkill
- humanizerSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
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Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

