Search local literature databases for papers by keywords, metadata, and citations.
npx skills add https://github.com/ryan-ressmeyer/llm-skills --skill database-search
Please help me install this Agent Skill. Skill: database-search Source: https://github.com/ryan-ressmeyer/llm-skills/tree/main/database-search Command: npx skills add https://github.com/ryan-ressmeyer/llm-skills --skill database-search
This Skill enables efficient searching of a local literature database, allowing users to quickly find relevant papers based on keywords, authors, subjects, publication years, or citation connections.
Search the local database for papers about "receptive field" published between 2015 and 2023, filtering for the "macaque" subject.
High-intent search queries and answers about installing and using this skill.
You can search a local literature database for scientific papers using metadata filters for author, title, journal, and publication year. The Skill indexes YAML and Markdown files to retrieve papers matching your specific query criteria.
Yes, citation graph analysis allows you to discover inter-paper relationships, finding specific papers that cite or are cited by a target publication. It utilizes Python scripts to query these citation connections within your local database.
Full-text search allows you to look for specific keywords within paper summaries and theme documents. This operates alongside metadata search to provide comprehensive literature retrieval from indexed local files.
Yes, the tool requires local YAML and Markdown files to function, utilizing Python scripts and the pyyaml dependency to index and query your scientific literature database for comprehensive retrieval.
The best way to find related works is combining metadata filters for publication year and subject with citation graph analysis. This approach locates target papers and discovers inter-paper relationships like cited-by links.
A limitation of local literature database search is that retrieval is restricted to the YAML and Markdown files you have indexed locally. It does not query external online scientific literature platforms or dynamically fetch new metadata.
ryan-ressmeyerSummarize research paper PDFs using the QLMRI framework and update index.yaml and references.bib files.
LittleSongxxSearch arXiv, extract paper metadata, synthesize findings, and generate citation-formatted reports.
u9401066Extract text, figures, and citations from PDFs into Markdown.
Strategic-AutomationSearch arXiv's public API for paper metadata by keyword, author, category, or ID.
