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.

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

1. Detect input language (Chinese / English / mixed)
2. Search in parallel:
   • English: CrossRef API + Semantic Scholar API
   • Chinese: Baidu Scholar (web scrape) + CNKI search
3. Score and rank candidates by title similarity + metadata completeness
4. If top match confidence > 80%: return directly
5. If confidence 50–80%: show top 3 candidates, ask user to confirm
6. If confidence < 50%: inform user and ask for more details
7. Format confirmed paper into GB/T 7714, APA 7th, MLA 9th
8. 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 search
• scripts/search_cn.py — Baidu Scholar + CNKI search
• scripts/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