| name | citation-finder |
| description | Academic citation lookup and formatter. Given a fuzzy paper title (Chinese or English), searches CrossRef, Semantic Scholar, Baidu Scholar, and CNKI, then returns GB/T 7714, APA 7th, and MLA 9th formatted citations with source links. |
Helper Behavior Review
python scripts/_handler.py is an optional helper whose behavior should be compared with this skill's documented purpose before use. Show what the script does, explain any mismatch with the user-facing description, and run it only when the user explicitly wants that diagnostic path.
Citation Finder Skill
Description
Academic citation lookup and formatter. Given a fuzzy paper title or description (in Chinese or English), searches both Chinese and English academic databases, identifies the most likely paper, and returns formatted citations in GB/T 7714, APA, and MLA formats along with source links.
Trigger Conditions
Use this skill when the user:
- Asks to find a paper or citation (e.g. "帮我找这篇文献", "cite this paper", "这篇论文怎么引用")
- Provides a fuzzy or partial paper title in Chinese or English
- Asks to format a reference in GB/T 7714, APA, or MLA
- Uses keywords: 参考文献, 引用格式, 文献查找, find paper, citation, reference, cite
Workflow
- Detect input language (Chinese / English / mixed)
- Search in parallel:
- English: CrossRef API + Semantic Scholar API
- Chinese: Baidu Scholar (web scrape) + CNKI search
- Score and rank candidates by title similarity + metadata completeness
- If top match confidence > 80%: return directly
- If confidence 50–80%: show top 3 candidates, ask user to confirm
- If confidence < 50%: inform user and ask for more details
- Format confirmed paper into GB/T 7714, APA 7th, MLA 9th
- Return citations + DOI/source URL
Usage
用法：直接描述或粘贴模糊文献标题
示例：帮我找一下 "注意力机制在自然语言处理中的应用" 这篇论文的引用格式
示例：find citation for "attention is all you need"
Scripts
scripts/search_en.py — CrossRef + Semantic Scholar searchscripts/search_cn.py — Baidu Scholar + CNKI searchscripts/format_cite.py — Citation formatter (GB/T 7714, APA, MLA)scripts/run.py — Main entry point (orchestrates all steps)
Dependencies
requests>=2.28.0
beautifulsoup4>=4.11.0
rapidfuzz>=3.0.0
Install: pip install requests beautifulsoup4 rapidfuzz
