meta-review

Analyze tournament debates and hypothesis reviews to produce actionable meta-reviews.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/achousal/EngramR --skill meta-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: meta-review
Source: https://github.com/achousal/EngramR/tree/main/.claude/skills/meta-review
Command: npx skills add https://github.com/achousal/EngramR --skill meta-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Meta-Review agent analyzes tournament debates and hypothesis reviews to produce actionable meta-reviews that reveal patterns and guide improvement across the research cycle.

Core Features & Use Cases

  • Pattern extraction from tournament match logs and hypothesis histories
  • Generation of structured meta-reviews with recommendations for /generate, /review, and /evolve
  • Archival and retrieval of meta-reviews to inform future iterations

Quick Start

Invoke the meta-review agent on the latest tournament and hypothesis logs to generate a new meta-review.

Frequently Asked Questions about meta-review

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

FAQPage Schema
How do I extract recurring debate patterns from tournament logs?

You can extract recurring patterns from tournament logs by running a meta-review on files in _research/tournaments/ to identify winner patterns and recurring weaknesses, writing the structured output to _research/meta-reviews/{date}.md.

What is a meta-review in the research cycle?

A meta-review is an analysis of tournament debates and hypothesis reviews that reveals recurring weaknesses and winner patterns, generating actionable recommendations to inform and guide future research iterations.

How do I generate actionable recommendations from hypothesis review histories?

To generate recommendations from hypothesis review histories, parse the logs located in _research/hypotheses/ to synthesize recurring structural weaknesses into structured feedback for future /generate, /review, and /evolve cycles.

Can I use tournament match logs to inform future research iterations?

Yes, tournament match logs from _research/tournaments/ can be parsed and synthesized to produce meta-reviews that extract winner patterns and recommendations, directly informing future research cycle iterations.

Do I need specific tooling to parse and format meta-reviews?

The process leverages existing tooling located in the _code directory to parse, synthesize, and format meta-reviews, requiring no additional dependencies to transform raw logs into structured output.

When should I run a meta-review on my research data?

You should run a meta-review when you have accumulated tournament debates and hypothesis logs and need to extract actionable meta-feedback to reveal patterns and guide improvements across the self-improvement loop.