Skills multi-agent-brainstorming
📦

multi-agent-brainstorming

Content revision r2 Safe ⚙️ External commands

Review Designs With Specialized AI Agents

Single-agent designs can hide assumptions, constraints, and failure modes. This skill runs a gated review with specialized agents and records every decision.

Supports: Claude Codex Code(CC)
🥉 78 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request
Review the Skillstore skill "multi-agent-brainstorming" from https://skillstore.io/skills/sickn33-multi-agent-brainstorming.md and its manifest at https://skillstore.io/api/skills/sickn33-multi-agent-brainstorming/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/sickn33-multi-agent-brainstorming.md Signed manifest GET /api/skills/sickn33-multi-agent-brainstorming/manifest Signed lockfile GET /api/skills/sickn33-multi-agent-brainstorming/lockfile

Test it

Using "multi-agent-brainstorming". Review a password reset flow for a business application.

Expected outcome:

  • Decision: Use expiring, single-use reset links with generic account responses.
  • Key objection: The original flow exposed whether an email address had an account.
  • Resolution: Return the same confirmation message for known and unknown addresses.
  • Disposition: REVISE until rate limits and audit logging are defined.

Using "multi-agent-brainstorming". Compare a queue-based worker with synchronous processing for report generation.

Expected outcome:

  • Decision: Use a queue-based worker for reports exceeding the response-time limit.
  • Alternative considered: Synchronous processing offers simpler operations for small reports.
  • Constraint finding: Retry behavior, queue capacity, and user-visible status require definition.
  • Disposition: APPROVED with documented capacity thresholds.

Using "multi-agent-brainstorming". Review a mobile checkout redesign with limited engineering capacity.

Expected outcome:

  • User concern: Error recovery is unclear after payment authorization fails.
  • Constraint finding: The proposal exceeds the stated delivery capacity.
  • Resolution: Keep the existing payment integration and simplify error recovery.
  • Disposition: REVISE the scope before implementation.

Security Audit

Safe
v5 • 8/4/2026 Open versioned report

All four static findings are false positives caused by Markdown backticks or ordinary review language. The skill contains no shell execution, system reconnaissance, prompt injection, or other semantic security issue.

1
Files scanned
262
Lines analyzed
0
Review items
0
False positives ignored

Risk Factors

⚙️ External commands (2)
SKILL.md:48 SKILL.md:155
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex View Audit History →
Share & cite this report

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report
Security Assessment

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Markdown badge

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Embed card

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Academic citations (APA · BibTeX · CFF)

APA citation

sickn33. (2026). multi-agent-brainstorming security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-multi-agent-brainstorming/audits/5

BibTeX citation

@techreport{sickn33-sickn33-multi-agent-brainstorming-2026, author = {sickn33}, title = {multi-agent-brainstorming security audit report (audit version 5)}, institution = {Skillstore}, year = {2026}, number = {5}, url = {https://skillstore.io/skills/sickn33-multi-agent-brainstorming/audits/5}, note = {Author version unspecified} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "multi-agent-brainstorming security audit report (audit version 5)" version: "unspecified" type: report authors: - name: "sickn33" date-released: "2026-08-04" url: "https://skillstore.io/skills/sickn33-multi-agent-brainstorming/audits/5" identifiers: - type: other value: "skillstore:sickn33-multi-agent-brainstorming:audit:5" description: "Skillstore immutable audit report identifier"

Skillstore Score

Why this score Evidence Confidence: High
55
Architecture
85
Maintainability
87
Content
69
Community
83
Spec Compliance

What You Can Build

Validate a System Architecture

Review a proposed architecture for failure modes, operational constraints, user impact, and unresolved assumptions before implementation.

Challenge a Product Workflow

Test a workflow against user expectations, confusing states, poor defaults, and stated product requirements.

Prepare a Technical Decision

Create a traceable decision log that records alternatives, objections, resolutions, and the final disposition.

Try These Prompts

Review a Simple Design 
Review this design using the multi-agent process: [design]. Confirm the goal, constraints, and success criteria before starting.
Stress-Test an Architecture 
Evaluate this architecture: [architecture]. Focus on reliability, security, scalability, maintainability, cost, and user impact. Record every objection and resolution.
Resolve Competing Options 
Compare these design options: [options]. Use the stated requirements: [requirements]. Challenge assumptions, resolve objections, and produce a justified final disposition.
Run a Constrained Production Review 
Review this production design: [design]. Enforce these limits: [constraints]. Assess failure scenarios, privacy, operations, usability, and cost. Return the decision log and disposition.

Best Practices

  • Provide measurable requirements, constraints, and success criteria before review begins.
  • Keep each reviewer within its assigned role and address every objection explicitly.
  • Preserve the decision log with the final design for later implementation and validation.

Avoid

  • Do not start review with an undefined problem or missing constraints.
  • Do not let reviewers add unrelated features or redesign outside their mandate.
  • Do not treat simulated consensus as proof that the design works in production.

Frequently Asked Questions

What does this skill produce?
It produces a reviewed design, resolved objections, a decision log, and an approved, revise, or reject disposition.
Does this skill run agents in parallel?
No. It invokes specialized reviewers sequentially so each objection remains scoped and traceable.
Which reviewer roles are included?
The process includes a designer, skeptic, constraint guardian, user advocate, and integrator or arbiter.
Can this skill implement the approved design?
No. It reviews and refines the design but does not write, deploy, or test the implementation.
What information should I provide?
Provide the design, goals, requirements, non-functional constraints, known alternatives, and measurable success criteria.
Does approval replace expert review or testing?
No. Use qualified experts and environment-specific testing for security, legal, safety, performance, and operational decisions.

Developer Details

Author

sickn33

License

MIT

Skillstore revision

r2

Version notice

The author did not declare a version.

Repository

https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/multi-agent-brainstorming

Ref

81e05e636292629114b76cbb3922fbe57672fc02

Maintenance freshness

8/5/2026

Usage

10 downloads · 123 views

File structure

📄 SKILL.md