Claude
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Community skill · Free instruction package
multi-agent-brainstorming
Use this skill when a design or idea requires higher confidence, risk reduction, or formal review. This skill orchestrates a structured, sequential multi-agent design review where each agent has a strict, non-overlapping role. It prevents blind spots, false confidence, and premature convergence.
Community instruction package. Read the full workflow below, then choose your app in the setup guide. Package instructions and compatibility claims have not been individually verified; check dependencies and license before use.
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Google Antigravity
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.agents/skills/multi-agent-brainstorming/SKILL.mdOfficial Google Antigravity setup →
Cursor
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.cursor/skills/multi-agent-brainstorming/SKILL.mdOfficial Cursor setup →Claude Code
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Extract the complete folder into .claude/skills. Ask Claude to use the named skill, or use its slash command when available.
.claude/skills/multi-agent-brainstorming/SKILL.mdOfficial Claude Code setup →For text-only workflows, you can also paste the instructions into an AI conversation. Copying text does not enable scripts, connect accounts or grant tool access. App subscriptions may cost extra. Logos identify the products; KuchhBhi is independent and is not endorsed by these companies.
Full skill instructions
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
- 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
- Primary Designer runs the standard
brainstormingskill - Understanding Lock is completed and confirmed
- Initial design is produced
- 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:
- Skeptic / Challenger
- Constraint Guardian
- 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
- Hallucinated consensus
- Overconfident single-agent designs
- Hidden assumptions
- Premature implementation
- Endless debate
Key Principles
- One designer, many reviewers
- Creativity is centralized
- Critique is constrained
- Decisions are explicit
- Process must terminate
Final Reminder
This skill exists to answer one question with confidence:
“If this design fails, did we do everything reasonable to catch it early?”
If the answer is unclear, do not exit this skill.
Frequently asked questions
Is the skill free?
The instruction package is free to download. Your AI app, model usage, connected services and third-party assets may have separate costs.
Is this an AI agent or an MCP server?
It is a set of instructions for a compatible AI assistant. It does not run by itself, connect accounts or install an MCP server.
What if the skill does not appear in my editor?
Check that the named folder contains SKILL.md directly, not a second nested ZIP folder. Confirm that your editor supports skills and that its current settings allow this location. See the official documentation below.