skills.rest
2389-research
2389-researchOFFICIAL
Explore all skills by this author →
WebsiteGitHub

qbp:clearness

Spawn parallel expert agents and synthesize their findings into a unified recommendation.

90|6|Updated Oct 15, 2025
Search Tags:#architecture#agents#code-review#research-synthesis#parallel-analysis#distributed-depth#clearness
Ready to run
npx skills add https://github.com/2389-research/claude-plugins --skill qbp-clearness
💬 Prompt for ChatGPT / Claude Chat▼
Please help me install this Agent Skill.
Skill: qbp:clearness
Source: https://github.com/2389-research/claude-plugins/tree/main/qbp/skills/clearness
Command: npx skills add https://github.com/2389-research/claude-plugins --skill qbp-clearness

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps address questions that require deep, multi-perspective analysis by spawning specialized agents to work in parallel and then synthesizing their findings into a unified recommendation.

Core Features & Use Cases

  • Distributed depth: spawn multiple expert agents (e.g., security, performance, architecture, research) to analyze a problem in parallel.
  • Structured synthesis: collect, compare, and reconcile diverse perspectives to produce a cohesive conclusion.
  • Use Case: ideal for complex code reviews, architectural decisions, or research syntheses that benefit from parallel deep work.

Quick Start

Propose a clearness committee for your complex question, then have each agent analyze their perspective and return insights; finally, review the synthesized recommendations.

Frequently Asked Questions about qbp:clearness

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I conduct a multi-angle code review for complex architecture decisions?▼

Parallel expert analysis works by spawning multiple specialized agents with explicit perspectives to analyze a problem concurrently, then collecting and reconciling their diverse outputs into a cohesive conclusion.

What is the best way to synthesize research from multiple expert perspectives?▼

Parallel expert analysis works by spawning multiple specialized agents with explicit perspectives to analyze a problem concurrently, then collecting and reconciling their diverse outputs into a cohesive conclusion.

Can I use parallel agents for distributed depth in research synthesis?▼

Parallel expert analysis works by spawning multiple specialized agents with explicit perspectives to analyze a problem concurrently, then collecting and reconciling their diverse outputs into a cohesive conclusion.

Do I need explicit perspectives to spawn agents for architecture decisions?▼

Parallel expert analysis works by spawning multiple specialized agents with explicit perspectives to analyze a problem concurrently, then collecting and reconciling their diverse outputs into a cohesive conclusion.

When should I not use parallel analysis for code review?▼

Parallel expert analysis works by spawning multiple specialized agents with explicit perspectives to analyze a problem concurrently, then collecting and reconciling their diverse outputs into a cohesive conclusion.

Related Skills

Explore More Software Engineering Skills→
rebootmindfulrebootmindful
80

multi-agent-experts

Coordinate multi-agent debates to generate comprehensive analyses for complex questions.

Community
Advanced
JonnyCBBJonnyCBB

research-problem

Coordinate parallel sub-agent research and synthesize findings into a structured report.

Community
Advanced
frankxaifrankxai
6

arcanea-code-review

Review code across architecture, security, performance, and maintainability.

Community
Advanced
pfrackpfrack

10x-research

Spawn parallel sub-agents to research codebases and generate documentation.

Community
Advanced