clab-review

Orchestrate multi-agent reviews of session documents into a synthesized master document.

8|1|Updated Jan 24, 2026

Search Tags:#collaboration #research #multi-agent #review #synthesis #document analysis

Ready to run

npx skills add https://github.com/Meme-Theory/meme-engine --skill clab-review

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: clab-review
Source: https://github.com/Meme-Theory/meme-engine/tree/main/plugins/research-clab/templates/skills/clab-review
Command: npx skills add https://github.com/Meme-Theory/meme-engine --skill clab-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of gathering expert reviews on research documents and synthesizing them into a cohesive master document, streamlining the feedback loop.

Core Features & Use Cases

Multi-Agent Review: Launches specialized agents to review documents from their unique perspectives.
Automated Synthesis: Consolidates individual reviews into a single, comprehensive master document.
Use Case: After a research session generates results, use this Skill to have your AI agents review the findings, identify key insights, and propose next steps, all compiled into a master report.

Quick Start

Use the clab-review skill to review the document sessions/session-05/session-5a-results.md.

Frequently Asked Questions about clab-review

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

FAQPage Schema

How do I automate multi-agent document review and synthesize expert feedback?▼

Multi-agent document review is automated by orchestrating specialized agents to analyze session documents from unique perspectives. The Skill then synthesizes individual expert feedback into a cohesive master document, streamlining the entire research feedback loop.

What is the best way to consolidate multiple AI agent reviews into a master report?▼

Consolidating AI agent reviews into a master report is done through automated synthesis. The process takes individual expert feedback generated during the collaborative review and compiles it into a comprehensive master document with key insights and next steps.

Can I select specific agents for collaborative document analysis?▼

Yes, the collaborative document analysis supports agent selection. You can choose specific specialized agents to review your research session documents, ensuring the feedback and synthesized master document reflect the desired expert perspectives.

Does the document synthesis process support skipping the consolidation phase?▼

Yes, the synthesis process supports skipping the consolidation phase. You can generate individual expert feedback from the multi-agent review without automatically synthesizing the results into a final master document, allowing for manual review.

How are reviewed documents and synthesized reports organized by date?▼

Reviewed documents and synthesized reports are organized using date-based output organization. This structure automatically categorizes the generated expert feedback and master documents, keeping the collaborative review results systematically arranged.

When do I need multi-agent collaborative review for research sessions?▼

You need multi-agent collaborative review when a research session generates results that require diverse expert evaluation. It is used to have AI agents review findings, identify key insights, and propose next steps compiled into a master report.