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Agents48k · #3643

multi-agent-brainstorming

Has your agent simulate a peer review with multiple specialized agents. This helps validate ideas, find hidden assumptions, and flaws before starting.

What it does

This tool simulates a design review process where different 'agents' (AIs with specific roles) analyze an idea to find problems, hidden assumptions, and failures before it's put into practice.

When to use it

  • ✓When you have a design idea and want to ensure it's robust.
  • ✓Before building something complex to avoid mistakes.
  • ✓To check if a design meets important requirements like security and performance.

Example of what to ask your AI

“Review this design to ensure it won't fail in production, identifying hidden assumptions and risks.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/multi-agent-brainstorming/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/multi-agent-brainstorming/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

One main agent creates the design, and other agents with defined roles (like a skeptic or a rule guardian) analyze it sequentially. Decisions and reasons are recorded.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill multi-agent-brainstorming

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/multi-agent-brainstorming/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

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

Focus areas:

  • performance
  • scalability
  • reliability
  • security & privacy
  • maintainability
  • operational cost

May:

  • Reject designs that violate constraints
  • Request clarification of limits

May NOT:

  • Debate product goals
  • Suggest feature changes
  • Optimize beyond stated requirements

4️⃣ User Advocate Agent

Role:

  • Represent the end user

Focus areas:

  • cognitive load
  • usability
  • clarity of flows
  • error handling from user perspective
  • mismatch between intent and experience

May:

  • Identify confusing or misleading aspects
  • Flag poor defaults or unclear behavior

May NOT:

  • Redesign architecture
  • Add features
  • Override stated user goals

5️⃣ Integrator / Arbiter Agent

Role:

  • Resolve conflicts
  • Finalize decisions
  • Enforce exit criteria

May:

  • Accept or reject objections
  • Require design revisions
  • Declare the design complete

May NOT:

  • Invent new ideas
  • Add requirements
  • Reopen locked decisions without cause

The Process

Phase 1 — Single-Agent Design

  1. Primary Designer runs the standard brainstorming skill
  2. Understanding Lock is completed and confirmed
  3. Initial design is produced
  4. Decision Log is started

No other agents participate yet.


Phase 2 — Structured Review Loop

Agents are invoked one at a time, in the following order:

  1. Skeptic / Challenger
  2. Constraint Guardian
  3. User Advocate

For each reviewer:

  • Feedback must be explicit and scoped
  • Objections must reference assumptions or decisions
  • No new features may be introduced

Primary Designer must:

  • Respond to each objection
  • Revise the design if required
  • Update the Decision Log

Phase 3 — Integration & Arbitration

The Integrator / Arbiter reviews:

  • the final design
  • the Decision Log
  • unresolved objections

The Arbiter must explicitly decide:

  • which objections are accepted
  • which are rejected (with rationale)

Decision Log (Mandatory Artifact)

The Decision Log must record:

  • Decision made
  • Alternatives considered
  • Objections raised
  • Resolution and rationale

No design is considered valid without a completed log.


Exit Criteria (Hard Stop)

You may exit multi-agent brainstorming only when all are true:

  • Understanding Lock was completed
  • All reviewer agents have been invoked
  • All objections are resolved or explicitly rejected
  • Decision Log is complete
  • Arbiter has declared the design acceptable

If any criterion is unmet:

  • Continue review
  • Do NOT proceed to implementation If this skill was invoked by a routing or orchestration layer, you MUST report the final disposition explicitly as one of: APPROVED, REVISE, or REJECT, with a brief rationale.

Failure Modes This Skill Prevents

  • Idea swarm chaos

…

FAQ

What's the difference between this and normal brainstorming?

Normal brainstorming is free-flowing. This tool uses agents with fixed roles for a structured, sequential review, not for generating new ideas freely.

What are 'agents'?

They are artificial intelligences with a specific, limited function within the review process, such as a 'skeptic' or a 'user advocate'.

What is the 'Decision Log'?

It's a document that records all decisions made, critiques received, alternatives considered, and the reasoning behind each point.

Details

Original description by the author

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

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#3643
License
MIT
Updated
10/15/2026

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