| name | multi-agent-brainstorming |
| description | Simulate a structured peer-review process using multiple specialized agents to validate designs, surface hidden assumptions, and identify failure modes before implementation. |
| type | skill |
| created | 2026-02-27T00:00:00.000Z |
| domain | ai-ml |
| category | llm-agents |
| risk | unknown |
| source | community |
| tags | ["skill","ai-ml","llm-agents","multi","agent","brainstorming"] |
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 or overconfidence
- Flag YAGNI violations
May NOT:
- Propose new features
- Redesign the system
- Offer alternative architectures
Prompting guidance:
“Assume this design fails in production. Why?”
3️⃣ Constraint Guardian Agent
Role:
- Enforce non-functional and real-world constraints
