pubscholar-auto-search
CommunityFind Chinese papers fast with smart search expansion.
System Documentation
What problem does it solve?
This Skill removes the manual effort of searching PubScholar for Chinese academic resources by automating query submission, adaptive keyword expansion when results are insufficient, and structured metadata extraction.
Core Features & Use Cases
- PubScholar web search automation: Runs browser-based searches on https://pubscholar.cn for Chinese papers, literature, patents, and related documents.
- Two-stage retrieval with result-threshold expansion: Performs a precise search first, then automatically expands keywords when the number of results is below a configurable minimum.
- Structured metadata extraction & export: Collects paper fields such as title, authors, journal, year, abstract, keywords, and source URL, and supports exporting to JSON/CSV.
What problem does it solve? (example scenario)
You need 20+ Chinese literature entries for a topic like “数字鸿沟 教育”; run this Skill so it searches precisely, expands synonyms/English translations when results are low, and returns deduplicated structured records ready for analysis or citation formatting.
Quick Start
Tell the AI to search PubScholar for Chinese papers about digital divide in education and return structured results with automatic expansion until at least 5 results are found.
Dependency Matrix
Required Modules
Components
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: pubscholar-auto-search Download link: https://github.com/ptreezh/sscisubagent-skills/archive/main.zip#pubscholar-auto-search Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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