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Paper Lookup

技能 已验证 活跃

Search 10 academic paper databases via REST APIs for research papers, preprints, and scholarly articles. Covers PubMed, PMC (full text), bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, CORE, Unpaywall. Use when searching for papers, citations, DOI/PMID lookups, abstracts, full text, open access, preprints, citation graphs, author search, or any scholarly literature query. Triggers on mentions of any supported database or requests like "find papers on X" or "look up this DOI".

目的

To enable AI agents to efficiently search and retrieve scholarly articles, preprints, and related metadata from a wide array of academic databases.

功能

  • Searches 10 academic paper databases
  • Supports various query types: papers, citations, DOIs, abstracts, full text
  • Provides detailed API reference files for each database
  • Guides database selection based on use case
  • Handles common identifiers (DOI, PMID, PMCID, arXiv ID)

使用场景

  • Searching for research papers on a specific biomedical topic
  • Looking up citations, abstracts, or full text of scholarly articles
  • Finding open access copies of papers
  • Querying for preprints in physics, math, or biology
  • Performing author searches and retrieving publication lists

非目标

  • Providing full text for articles not available through PMC or CORE
  • Performing advanced statistical analysis on retrieved papers
  • Replacing direct access to subscription-based journals
  • Interpreting the scientific content of retrieved articles

工作流

  1. Understand the user's query intent.
  2. Select appropriate database(s) based on the query type and use case.
  3. Consult reference files for API details, endpoints, and authentication.
  4. Make API calls using the appropriate HTTP fetch tool or curl.
  5. Process and return the raw API response, query details, and results.

实践

  • API Interaction
  • Data Retrieval
  • Literature Search

先决条件

  • Internet access
  • HTTP client (e.g., WebFetch, curl)
  • API keys for select databases (optional but recommended)

安装

npx skills add K-Dense-AI/claude-scientific-skills

通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。

质量评分

已验证
99 /100
1 day ago 分析

信任信号

最近提交3 days ago
星标21k
许可证MIT
状态
查看源代码

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