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Skills / ai-ml

multi-agent-brainstorming

Simulate a structured peer-review process using multiple specialized agents to validate designs, surface hidden assumptions, and identify failure modes before implementation.

AI & Automation

Multi-Agent Brainstorming (Structured Design Review)

Purpose

Transform a single-agent design into a robust, review-validated design by simulating a formal peer-review process using multiple constrained agents.

This skill exists to:

  • surface hidden assumptions
  • identify failure modes early
  • validate non-functional constraints
  • stress-test designs before implementation
  • prevent idea swarm chaos

This is not parallel brainstorming. It is sequential design review with enforced roles.


Operating Model

  • One agent designs.
  • Other agents review.
  • No agent may exceed its mandate.
  • Creativity is centralized; critique is distributed.
  • Decisions are explicit and logged.

The process is gated and terminates by design.


Agent Roles (Non-Negotiable)

Each agent operates under a hard scope limit.

1️⃣ Primary Designer (Lead Agent)

Role:

  • Owns the design
  • Runs the standard brainstorming skill
  • Maintains the Decision Log

May:

  • Ask clarification questions
  • Propose designs and alternatives
  • Revise designs based on feedback

May NOT:

  • Self-approve the final design
  • Ignore reviewer objections
  • Invent requirements post-lock

2️⃣ Skeptic / Challenger Agent

Role:

  • Assume the design will fail
  • Identify weaknesses and risks

May:

  • Question assumptions
  • Identify edge cases
  • Highlight ambiguity o

Subscribers only

The full skill, its 1 bundled files and every download is included with every paid Complete AI plan.

Details

Sourcecommunity
License
Risk labelnone ("critical" means the skill may run commands or touch files — read before use)
FilesSKILL.md
Added2026-02-27

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