citation-finder
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.
Best use case
citation-finder is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using citation-finder should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/citation-finder/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How citation-finder Compares
| Feature / Agent | citation-finder | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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`
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