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review-translation

Cross-check Korean translations against English originals to identify inaccuracies and inconsistencies.

282|23|Updated Jan 3, 2026
Search Tags:#consistency#qa#translation#glossary#korean#english#ai-review
One-click install
npx skills add https://github.com/team-attention/stanford-cs146s-kr --skill review-translation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-translation
Source: https://github.com/team-attention/stanford-cs146s-kr/tree/main/.claude/skills/review-translation
Command: npx skills add https://github.com/team-attention/stanford-cs146s-kr --skill review-translation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides AI-assisted quality assurance for translated Korean content by cross-checking it against the original English text to identify inaccuracies, omissions, and inconsistencies.

Core Features & Use Cases

  • Cross-language validation: Compares Korean translations with English originals to surface translation gaps, terminology drift, and tone mismatches.
  • Multi-AI consensus review: Uses Claude, Codex, and Gemini to independently assess translation quality and consolidate findings into a unified report.
  • Use Case: QA teams can run weekly translation audits on course materials, maintain glossary consistency, and quickly identify urgent corrections before publication.

Quick Start

Use the review-translation skill to validate the Korean translation of docs/week1/... by running the built-in verification pipeline.

Frequently Asked Questions about review-translation

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

FAQPage Schema
How do I verify Korean translation quality against English original text?▼

Korean translation quality against English originals is verified through cross-language validation that compares documents to surface terminology drift, omissions, and tone mismatches. It consolidates findings into a unified report highlighting inconsistencies for documentation and course materials.

How does multi-AI consensus review work for translation QA?▼

Multi-AI consensus review for translation QA works by using Claude, Codex, and Gemini CLI tools to independently assess translation quality. It cross-checks Korean translations against English originals and consolidates findings into a unified consensus report highlighting issues.

Do I need specific CLI tools to run translation consistency checks?▼

Yes, you need Claude, Codex, and Gemini CLI tools or equivalents to run translation consistency checks. These tools independently assess translation quality and produce the consensus reports required to highlight issues and validate Korean content against English originals.

What is the best way to maintain glossary consistency across course materials?▼

Maintaining glossary consistency across course materials is best handled by running chapter-by-chapter verification pipelines. This Skill cross-checks Korean translations against English originals to identify terminology drift and consolidate findings into a unified report for QA teams.

Can I use this for chapter-by-chapter verification of documentation?▼

Yes, you can use this Skill for chapter-by-chapter verification of documentation. It applies a built-in verification pipeline to cross-check Korean translations against English originals, identifying inaccuracies, omissions, and glossary inconsistencies before publication.

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