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SKILL verified MIT Self-run

Compose

skill-sharpdeveye-maestro-compose · by sharpdeveye

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

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Install

$ agentstack add skill-sharpdeveye-maestro-compose

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.