译文校对 · Translation Review
SkillDocs & knowledgeReview Chinese-to-English translations for accuracy, grammar, terminology, and consistency. Produces a structured review report with prioritized issues. Trigger when: user provides a Chinese document and its English translation for review/checking/proofreading, or mentions "翻译检查", "翻译审校", "translation review", "translation check", "proofread translation".
Available today. Use it from your connected AI after setup.
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Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the 译文校对 · Translation Review skill
What this skill tells your AI
The instructions your AI receives, as published by lovstudio/skills in skills/translation-review/SKILL.md and read by ahel’s review.
Systematically compare a Chinese source document against its English translation, identify issues across 6 dimensions, and produce a prioritized review report.
When to Use
- User provides a Chinese original + English translation pair for review
- User asks to check/proofread an English translation from Chinese
- User mentions "翻译检查", "审校", "translation review"
Workflow (MANDATORY)
You MUST follow these steps in order:
Step 1: Collect Input
Use AskUserQuestion to confirm before starting:
Ask the user:
- Document type — academic paper (SCI/EI), technical docs, business docs, general
- Domain — medicine, CS, law, finance, general (affects terminology checking)
- Focus areas — terminology accuracy, grammar, style, references, all (multi-select)
If the user has already provided context (e.g., "SCI 4区医学论文"), skip the obvious questions.
Step 2: Read Both Documents
Read the Chinese source and English translation. For .docx files:
pandoc "<chinese_file>.docx" -t plain --wrap=none
pandoc "<english_file>.docx" -t plain --wrap=none
For .md or .txt files, read directly.
If files are large, read in sections (offset/limit) to stay within context.
Step 3: Systematic Review
Compare the two documents across 6 dimensions, in this order:
D1: Mistranslation (meaning changed)
- Words/phrases translated to a different meaning
- Omissions (content in Chinese missing from English)
- Additions (content in English not in Chinese)
- Pay special attention to domain-specific terms that have been incorrectly generalized or specialized
D2: Terminology Accuracy
- Domain-specific terms: check against standard English terminology
- Abbreviation consistency: first occurrence should have full form + abbreviation
- Proper nouns: names, institutions, gene/protein names, drug names
- Units and measurements
D3: Grammar & Syntax
- Subject-verb agreement
- Tense consistency (especially in Methods vs Results)
- Article usage (a/an/the) — common error in Chinese-to-English
- Dangling modifiers, run-on sentences
- Passive voice overuse
D4: Consistency
- Same Chinese term translated differently in different places
- Formatting inconsistencies (capitalization, hyphenation, number style)
- Heading style consistency
D5: References & Citations (academic papers only)
- Citation numbers match between Chinese and English versions
- Reference format consistency (author names, journal abbreviations)
- Missing author information in reference entries
- In-text citation correctness
D6: Style & Register
- Academic register appropriate for target journal
- Overly verbose or literary phrasing
- Chinese-influenced sentence structure (e.g., "through...method" patterns)
- Paragraph length and structure
Step 4: Source Document Issues
While reviewing, also note issues in the Chinese source that the English faithfully translates but are themselves incorrect. Flag these separately.
Step 5: Generate Report
Output a structured review report with the following format:
# 翻译审校报告 / Translation Review Report
**Document**: [title]
**Reviewer**: 品牌方 (AI-assisted)
**Date**: [YYYY-MM-DD]
**Domain**: [domain]
**Document type**: [type]
---
## Summary
[2-3 sentence overall assessment]
---
## A-Level Issues (Must Fix)
### A1. [Issue title]
**Location**: [section/paragraph]
**Original (CN)**: "..."
**Translation (EN)**: "..."
**Problem**: [explanation]
**Suggested fix**: → "..."
---
## B-Level Issues (Recommended)
### B1. [Issue title]
...
---
## Source Document Issues
### C1. [Issue title]
...
---
## Priority Summary
| Priority | # | Issue | Impact |
|----------|---|-------|--------|
| Must fix | A1 | ... | ... |
| ... | | | |
---
## Conclusion
[Overall quality assessment + recommended next steps]
Step 6: Save Report
Save the report to the same directory as the input files:
Filename: 品牌方-translation-review-{YYYY-MM-DD}-v0.1.md
If a file with this name exists, increment the version.
Issue Severity Classification
| Level | Criteria | Examples |
|---|---|---|
| A (Must fix) | Meaning changed, factual error, or would cause rejection | Mistranslation, wrong terminology, reference number mismatch |
| B (Recommended) | Awkward but understandable, or non-standard usage | Verbose phrasing, minor grammar, style inconsistency |
| C (Source issue) | Error in Chinese original, faithfully translated | Wrong terminology in Chinese, factual inaccuracy |
Domain-Specific Checklists
Academic / SCI Papers
- Abstract: structured, matches body content
- Keywords: standard MeSH or domain terms
- Reference numbers: sequential, match between CN/EN versions
- Figure/table captions: translated and consistent
- Statistical reporting: p-values, CI format
Medical / Biomedical
- Disease names: ICD/MeSH standard
- Gene/protein names: HUGO/UniProt standard (italics for genes)
- Drug names: INN (International Nonproprietary Names)
- Anatomical terms: Terminologia Anatomica standard
Technical Documentation
- UI strings: consistent with product localization
- Code snippets: untranslated, syntax preserved
- API terms: match official documentation
Runtime context (shared)
运行前读取本 Skill 包的 skill.yaml,由宿主提供 skill-runtime/v1 上下文。字段解析顺序为:当前请求、项目上下文、个人 Preferences、品牌 Profile、通用默认值。
- 只使用 Manifest 声明的字段;Profile 保存公开品牌事实,Preferences 保存个人工作偏好。
required: true字段缺失时,按 Manifest 的问题配置向用户提出一个聚焦问题;用户明确同意后再保存回答。- 报错提供可复制的
context_id、字段路径与来源,诊断内容避开秘密、完整私人路径和原始配置。
通用反馈闭环
用户在 Skill 驱动任务中提出修改意见时,继续当前产物前必须执行:
- 先判断意见是
task-specific(仅本次)还是reusable(可跨任务复用)。 task-specific只修改当前任务,不改 Skill。reusable先确定作用域:领域规则先更新对应 canonical Skill;适用于所有 Skill 的规则先更新共享规范。- 完成规则更新、版本、lint 与分发核验后,再把修改应用到当前任务。
reusable修改会使此前的“确认”“继续”“发吧”失效;完成当前产物修改和回读后必须停下,等待用户下一步指示,不自动进入发布、提交或其他外部写入。
Signals
- GitHub stars
- 66
- Forks
- 17
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
lov-translation-review- Source
- github.com/lovstudio/skills