accelerate
Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token…
Use when a single agent demonstrably cannot handle the task and multi-agent coordination is justified.
$ npx -y skills add sharpdeveye/maestro --skill compose --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/composeContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when a single agent demonstrably cannot handle the task and multi-agent coordination is justified.
name: compose description: "Use when a single agent demonstrably cannot handle the task and multi-agent coordination is justified." argument-hint: "[workflow description]" category: enhancement version: 2.0.0 user-invocable: true
Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the **Context Gathering Protocol**. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first. Consult the agent-architecture reference in the agent-workflow skill for topology patterns and when multi-agent is justified.
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Design a multi-agent system. But first — are you sure you need one?
Answer these before proceeding:
1. **Has a single agent been tried and failed?** (If no, try single agent first) 2. **What specific limitation requires multiple agents?** (If you can't name it, you don't need multi-agent) 3. **Is the cost/latency increase justified?** (Multi-agent = 2-10x cost and latency)
If you can't articulate a specific limitation, use /amplify on the single agent instead.
Choose the right architecture pattern (consult the agent-architecture reference in the agent-workflow skill):
For each agent in the system, define:
## Agent: [Name] Role: [One sentence] Responsibilities: [What it does] Boundaries: [What it does NOT do] Tools: [List of tools this agent has access to] Input: [What it receives] Output: [What it produces]
For each agent-to-agent connection:
## Handoff: [Agent A] → [Agent B] Trigger: [When does A hand off to B?] Payload: [What data is passed?] Expected response: [What does A expect back?] Timeout: [How long to wait?] Failure handling: [What if B fails?]
Every multi-agent system needs a supervisor:
After composition, run `/fortify` to add error handling at every handoff, then `/evaluate` to test the multi-agent system end-to-end.
**NEVER**:
Workflow fluency for AI coding agents. 1 core skill · 25 commands · 7 domain references · memory layer · audit trail — works across Cursor, Claude Code, Gemini CLI, Copilot, and 6 more.
Repo: sharpdeveye/maestro
Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token…
Use when porting a workflow to a different AI provider, deployment environment, model tier,…
Use when any Maestro command is invoked — provides foundational workflow design principles…
Use when the workflow works but needs to handle more complex cases or produce higher-quality…
Use when workflow components are inconsistent, naming conventions vary, or a new team…
Capture a session summary — what was done, what decisions were made, and what to do next.