Multi Agent Brainstorming
Multi Agent Brainstorming is an design AI skill with a core value of # 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. It
helps developers solve real-world problems in the design domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
# 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
Quick Facts
mkdir -p ./skills/multi-agent-brainstorming && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/multi-agent-brainstorming/SKILL.md -o ./skills/multi-agent-brainstorming/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# 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
🎯 Best For
- Engineering teams doing code reviews
- Open source maintainers
- Claude users
- Designers
- Creative professionals
💡 Use Cases
- Reviewing pull requests for security vulnerabilities
- Checking code style consistency
- Design system documentation
- Component specification creation
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Multi Agent Brainstorming to Your Work
Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.
- 4
Review and Refine
Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.
❓ Frequently Asked Questions
Does this skill check for OWASP Top 10?
Security-focused review skills often include OWASP checks. Check the skill content for specific vulnerability categories covered.
Does Multi Agent Brainstorming generate production-ready design specs?
It generates detailed specifications that developers can use directly. Review and adjust for your specific design system.
How do I install Multi Agent Brainstorming?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/multi-agent-brainstorming/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Blindly accepting AI suggestions
Always verify AI-generated review comments. Some suggestions may not apply to your specific codebase conventions.
Not reading the full skill
Skills contain important context and edge cases beyond the quick start.