AI Academic Search Skill: Comprehensive Paper & Citation Retrieval
AI Academic Search Skill: Comprehensive Paper & Citation Retrieval
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AI Academic Search Skill: Comprehensive Paper & Citation Retrieval
AI Academic Search Skill: Comprehensive Paper & Citation Retrieval
The AI Academic Search Skill is designed to facilitate comprehensive academic literature searches. By leveraging a variety of academic databases, this skill helps users find relevant papers, track citations, and obtain additional scholarly materials.
What this skill does
- Initiates academic literature searches from topics, seed papers, or authors, targeting databases like OpenAlex, Semantic Scholar, Crossref, and Europe PMC.
- Tracks and consolidates references, cited works, and similar articles while avoiding duplicates, ensuring accurate documentation of the search scope.
- Retrieves open access full texts and supplementary materials while verifying retractions and errata.
- Distinguishes between authors with similar names and organizes findings into Zotero categories with attachments.
Who it is for
This skill is beneficial for developers and research teams employing AI coding agents such as Claude Code, Cursor, or Codex who require efficient academic literature retrieval for research or review purposes.
Use cases
- Conducting exploratory research or preparing a literature review by finding and compiling a list of relevant academic papers.
- Expanding research from a specific paper by tracing its citations and identifying related works.
- Verifying the status of a publication to ascertain if it has been retracted or amended.
- Organizing literature findings using Zotero for project collaboration and data management.
Technical details
- Integrates with OpenAlex, Semantic Scholar, Crossref, Europe PMC, SciVerse, and AI4Scholar for comprehensive search capabilities.
- Utilizes Sciverse for full-text semantic retrieval and structuring of scholarly content.
- Supports structured searches through AI4Scholar for sources like Google Scholar and PubMed.
- Compatible with Python 3.10+ standard libraries, requiring no additional scientific skills or MCP installations.
- Ensures all search activities comply with target site terms, accessing only publicly available information.
Source & Licence
This package is built on open-source work published by luffysolution-svg (luffysolution-svg/sanmu-skills) and distributed under MIT. The original licence text and copyright notice are included in your download.
Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.
Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.
Delivery & Support
- Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
- Format: ZIP archive containing the skill files, documentation and the original licence.
- Support: support@mcpcart.com — we aim to reply within 2 business days.
- Updates: updates are included only where stated on this page.
Refunds
This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.
Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.
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