Plan Swarm

Refine plans through collaborative multi-agent expert discussion.

⚠️ Cost Warning: This skill uses the Opus model and spawns 3-10 agents for multi-round discussions. A typical plan-swarm session consumes 5-20x more tokens than a standard skill invocation. Consider using review-plan for simpler validation needs.

When to Activate

• User wants multiple expert perspectives
• Plan needs collaborative refinement
• Complex trade-offs require discussion
• Consensus building needed
• User asks for "expert opinions" or "different perspectives"

Key Features

• Intelligent Agent Selection: 3-10 agents based on plan context
• True Collaboration: Multi-round discussions
• Constructive Disagreement: Respectful challenging of ideas
• Consensus Building: Resolution of conflicts

Quick Process

Phase 1: Context & Agent Selection

• Analyze plan domains (frontend, backend, security, etc.)
• Select 3-10 relevant specialized agents
• Brief each agent on the plan

Phase 2: Multi-Round Discussion

1. Round 1: Initial perspectives from each agent
2. Round 2: Cross-domain discussion and response
3. Round 3: Consensus building (if needed)

Phase 3: Synthesis

• Compile feedback across rounds
• Document consensus recommendations
• Identify trade-offs and open questions

Agent Selection Guidelines

Output Format

Generates refinement document with:

• Executive summary
• Agent participants and focus areas
• Consensus recommendations by category
• Design decisions and trade-offs
• Open questions requiring human decision
• Dissenting opinions with rationale
• Next steps

Discussion Guidelines

Agents are encouraged to:

• Be direct and state opinions clearly
• Challenge constructively with alternatives
• Build on other agents' ideas
• Change positions when persuaded
• Acknowledge expertise limits