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cross-model-critique

Translate external AI critiques into Claude-ready revision targets with a structured change log.

6|1|Updated May 30, 2026
Search Tags:#workflow#editing#critique#cross-model#revision#ai-feedback
One-click install
npx skills add https://github.com/Wondermonger-daydreaming/claude-skills-library --skill cross-model-critique
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cross-model-critique
Source: https://github.com/Wondermonger-daydreaming/claude-skills-library/tree/main/skills/cross-model-critique
Command: npx skills add https://github.com/Wondermonger-daydreaming/claude-skills-library --skill cross-model-critique

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill translates critique from an external AI model into concrete revision targets for Claude, enabling collaborative improvement and unbiased self-review through peer feedback.

Core Features & Use Cases

  • Translate external critique into Claude-ready revision instructions.
  • Diagnose and categorize feedback into PROTECT, DIAGNOSE, TRANSLATE, and REJECT with rationale.
  • Generate targeted edits and flag sections for human discussion.

Quick Start

Provide an external AI critique and have this skill translate it into precise revision targets.

Frequently Asked Questions about cross-model-critique

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

FAQPage Schema
How do I translate external AI critique into actionable revision targets?▼

Translating external AI critique involves mapping feedback to diagnostic categories like PROTECT, DIAGNOSE, TRANSLATE, or REJECT, and outputting a structured change log for Claude-ready edits.

What is a cross-model feedback loop for writing and code review?▼

A cross-model feedback loop is a multi-model workflow where an external AI provides critique on writing, code, or dialogue design, enabling unbiased self-review and collaborative improvement through peer feedback translation.

How do I categorize AI feedback before applying revisions?▼

You categorize AI feedback by diagnosing it into PROTECT, DIAGNOSE, TRANSLATE, and REJECT buckets with rationale, flagging sections for human discussion and generating targeted edits for the original content.

Can I use external AI critique for dialogue design and code review revisions?▼

Yes, you can use external AI critique for dialogue design and code review revisions. The skill applies during multi-model feedback loops across writing, code review, and dialogue design contexts to generate targeted edits.

When should I reject external AI critique in a multi-model workflow?▼

You should reject external AI critique when the feedback does not align with your revision goals. The skill diagnoses and categorizes feedback into a REJECT category with rationale to flag unhelpful suggestions for human discussion.

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