critique

Decompose a thesis into falsifiable claims and generate an N×N critique matrix.

7|3|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/Zpankz/mcp-skillset --skill critique-zpankz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: critique
Source: https://github.com/Zpankz/mcp-skillset/tree/main/critique
Command: npx skills add https://github.com/Zpankz/mcp-skillset --skill critique-zpankz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables teams to rigorously dissect a thesis or argument using multiple evaluative lenses, revealing logical gaps, evidential weaknesses, scope issues, alternatives, and practical risks.

Core Features & Use Cases

  • Parallel, cross-lens critique across STRUCTURAL, EVIDENTIAL, SCOPE, ADVERSARIAL, PRAGMATIC lenses.
  • N×N cross-evaluation matrix with phase-wise synthesis and compression.
  • DAG-based claim graph with stability markers and convergence checks for iterative refinement.
  • Automated integration with protocol references to ensure reproducibility in analyses.

Quick Start

Invoke /critique with a thesis to start a four-phase multi-lens evaluation and synthesis process.

Frequently Asked Questions about critique

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

FAQPage Schema
How do I perform a multi-lens dialectical critique and synthesis on a thesis?

A multi-lens dialectical critique decomposes a thesis into falsifiable claims organized as a DAG. It applies five orthogonal lenses—STRUCTURAL, EVIDENTIAL, SCOPE, ADVERSARIAL, PRAGMATIC—and cross-evaluates them to generate an N×N critique matrix before recursive aggregation into a synthesis report.

What is cross-evaluation in argument analysis and how does it work?

Cross-evaluation in argument analysis applies multiple evaluative lenses to a thesis and maps their interactions into an N×N critique matrix. This process reveals logical gaps, evidential weaknesses, scope issues, alternatives, and practical risks through phase-wise synthesis and compression.

How do I evaluate a thesis for logical gaps and evidential weaknesses?

You evaluate a thesis by applying orthogonal lenses including STRUCTURAL and EVIDENTIAL critiques. This cross-evaluation process exposes logical gaps and evidential weaknesses while organizing claims into a DAG with stability markers for iterative refinement.

Can I use a DAG-based claim graph for iterative argument refinement?

Yes, a DAG-based claim graph supports iterative argument refinement by decomposing a thesis into falsifiable claims with stability markers. It includes convergence checks to ensure phase-wise synthesis and compression maintain analytical rigor throughout the evaluation.

What is the best way to generate a synthesis report with convergence metrics?

The best way to generate a synthesis report with convergence metrics is to perform cross-evaluation across five orthogonal lenses, producing an N×N critique matrix. Recursive aggregation then compresses this matrix into a compact report complete with protocol references.

Do I need dependencies or external libraries to run a multi-lens critique?

No, you do not need external dependencies to run a multi-lens critique. The process relies solely on its internal references to ensure reproducibility, using built-in lenses and DAG-based claim graphs to execute the cross-evaluation and synthesis.