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Multi Agent Brainstorming

  • 1.2k installs
  • 44k repo stars
  • Updated July 27, 2026
  • sickn33/antigravity-awesome-skills

multi-agent-brainstorming provides documented workflows for Simulate a structured peer-review process using multiple specialized agents to validate designs, surface hidden assumptions, and identify failure modes before i

About

The multi-agent-brainstorming skill simulate a structured peer-review process using multiple specialized agents to validate designs surface hidden assumptions and identify failure modes before implementation 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 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 1 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 2 Skeptic Challenger Agent Role Assume the desig.

  • surface hidden assumptions
  • identify failure modes early
  • validate non-functional constraints
  • stress-test designs before implementation
  • prevent idea swarm chaos

Multi Agent Brainstorming by the numbers

  • 1,195 all-time installs (skills.sh)
  • +28 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #255 of 2,742 Automation & Workflows skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

multi-agent-brainstorming capabilities & compatibility

Capabilities
surface hidden assumptions · identify failure modes early · validate non functional constraints · stress test designs before implementation · prevent idea swarm chaos
Use cases
documentation
From the docs

What multi-agent-brainstorming says it does

# 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 c
SKILL.md
It is **sequential design review with enforced roles**.
SKILL.md
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill multi-agent-brainstorming

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Listed on Skillselion
Installs1.2k
repo stars44k
Security audit3 / 3 scanners passed
Last updatedJuly 27, 2026
Repositorysickn33/antigravity-awesome-skills

How do I use multi-agent-brainstorming for the task described in its SKILL.md triggers?

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

Who is it for?

Teams invoking multi-agent-brainstorming when the user request matches documented triggers and prerequisites.

Skip if: Skip when cached docs are missing, the request is a negative trigger, or another sibling skill owns the workflow.

When should I use this skill?

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

What you get

Step-by-step guidance grounded in multi-agent-brainstorming documentation and reference files.

  • review-validated design
  • failure-mode list
  • assumptions register

Files

SKILL.mdMarkdownGitHub ↗

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
  • 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.

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Related skills

FAQ

What does multi-agent-brainstorming do?

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

When should I use 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.

What are common prerequisites?

--- 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 implementat

Is Multi Agent Brainstorming safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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