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sharpdeveye/maestro327 installs

compose

Use when a single agent demonstrably cannot handle the task and multi-agent coordination is justified.

How do I install this agent skill?

npx skills add https://github.com/sharpdeveye/maestro --skill compose
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill provides guidelines and design patterns for multi-agent orchestration. It contains no executable code or security risks.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

MANDATORY PREPARATION

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.


Design a multi-agent system. But first — are you sure you need one?

Step 1: Pre-Composition Check

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.

Step 2: Design the Topology

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]

Step 3: Design Handoffs

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?]

Step 4: Design the Supervisor

Every multi-agent system needs a supervisor:

  • Monitors agent health and performance
  • Routes tasks to appropriate agents
  • Handles failures and escalation
  • Enforces global constraints (budget, time, quality)

Composition Checklist

  • Each agent has a clear, non-overlapping role
  • Handoff protocols are defined for every connection
  • A supervisor pattern is in place
  • Cost/latency budget accounts for all agents
  • Failure modes are handled at every handoff point
  • The system can be understood by reading the topology diagram

Recommended Next Step

After composition, run /fortify to add error handling at every handoff, then /evaluate to test the multi-agent system end-to-end.

NEVER:

  • Build multi-agent for a problem a single agent can handle
  • Create agents with overlapping responsibilities
  • Skip the supervisor (autonomous swarms are unpredictable)
  • Pass full context between all agents (pass only what's needed)
  • Compose without defining handoff protocols

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/sharpdeveye/maestro/compose">View compose on skillZs</a>