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.
Best for Architecture reviewsWorks with GitHubLow risk
⌘source
- author
@sickn33- language
- Python
★34kstars
5.6kforks
Apr 18, 2026
✦overview.md
Key Features
- ·Simulates structured peer-review process with multiple specialized agents
- ·Surfaces hidden assumptions and identifies failure modes early
- ·Validates non-functional constraints before implementation
- ·Uses sequential design review with enforced agent roles
- ·Maintains centralized creativity with distributed critique
- ·Operates with gated process that terminates by design
Use Cases
- →Validating software designs before implementation begins
- →Stress-testing architectural decisions against failure modes
- →Reviewing complex system designs with multiple specialized perspectives
- →Ensuring non-functional requirements are addressed in design phase
Best for
- ✓Architecture reviews
- ✓Design validation teams
- ✓Critical system development
Not ideal for
- !Parallel brainstorming sessions
- !One-off quick design sketches
FAQs
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.
risk:unknown
source:community
date_added:2026-02-27
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
brainstormingskill - 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
$install
1-click copynpx skills add sickn33/antigravity-awesome-skills --skill multi-agent-brainstormingSafety assessment
★
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3/ 5
goodMostly clear, but there are still a few confusing or poorly structured parts.
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1/ 5
not actionableThe SKILL.md is hard to act on; an agent would not know what to do.