zotero-pdf2zh-guide
PDF Chinese translation plugin for Zotero reference manager
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill zotero-pdf2zh-guide --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Zotero PDF2ZH Guide A skill for using the Zotero PDF2ZH plugin to translate academic PDF documents between Chinese and English while preserving the original layout, figures, and mathematical notation. Based on zotero-pdf2zh (3K stars), this skill enables researchers to bridge the language barrier in academic literature. ## Overview Academic research is inherently global, yet language barriers remain a significant obstacle. Chinese-speaking researchers need to read English-language papers, and English-speaking researchers increasingly need access to Chinese-language publications, particularly in fields where China produces significant research output (materials science, AI, engineering, traditional medicine). PDF2ZH addresses this by providing high-quality translation directly within the Zotero reference management workflow, producing bilingual documents that preserve the original formatting. The plugin supports bidirectional translation between Chinese and English, leveraging modern neural machine translation while maintaining the structural integrity of academic documents including equations, tables, figures, and references. ## Installation and Setup **Prerequisites** - Zotero 6
- Overview
- Installation and Setup
- Translation Workflow
- Handling Academic Content
- Bilingual Reading Mode
- Domain-Specific Considerations
- Integration with Research-Claw
- Best Practices
What does the zotero-pdf2zh-guide skill do?
PDF Chinese translation plugin for Zotero reference manager
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill zotero-pdf2zh-guide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.