Translate user queries into vector and full-text searches in litdb.
npx skills add https://github.com/jkitchin/litdb --skill litdb-expert-skill
Please help me install this Agent Skill. Skill: Litdb Expert Skill Source: https://github.com/jkitchin/litdb/tree/main/. Command: npx skills add https://github.com/jkitchin/litdb --skill litdb-expert-skill
Researchers are often overwhelmed by the sheer volume of scientific literature, making it difficult to efficiently discover, organize, and synthesize information. This Skill transforms your research workflow by automating the tedious tasks of literature management, allowing you to focus on insights rather than administration.
Initialize your litdb database. Then, ask to search for papers on 'single atom alloys' and add the top 3 results to your database.
High-intent search queries and answers about installing and using this skill.
Vector search translates your natural language queries into semantic embeddings to find papers with similar meaning, not just matching keywords. This Skill applies AI-powered vector search across your litdb database to retrieve relevant literature from both local files and OpenAlex, enabling discovery of conceptually related papers even when phrasing differs.
Hybrid search merges full-text keyword matching with semantic vector search in a single query. This Skill supports hybrid search workflows to let you balance precision (exact keyword matches) with recall (conceptually similar papers), then rerank results using cross-encoders for optimal relevance.
Unified document management indexes PDFs, DOCX files, Jupyter notebooks, and other local research files within the same litdb database as OpenAlex records. This Skill enables cross-searching your entire corpus—local and remote—from a single interface, creating a cohesive knowledge base.
Dynamic watch filters monitor journals and authors for new publications matching your research interests. This Skill automates discovery and integration of relevant papers into litdb by setting up filters, then generates AI-summarized newsletters and synthesis reports to keep you current without manual scanning.
Configuration is required for vector search and reranking to function. This Skill handles embedding model selection, cross-encoder setup for result reranking, and schema extraction from litdb, allowing you to customize search depth and result quality based on your research needs.
Citation export converts your curated research collection into standard formats for bibliography management and publication workflows. This Skill supports export functionality to extract structured citation data, metadata, and organized collections from litdb for use in writing and collaboration tools.
steipeteIndex local files and search them with BM25, vector, and hybrid queries.
ConnectiveTCSSynthesize multi-source research into cited analyses with executive summaries.
qodex-aiBuild interactive chat agents for ArXiv paper retrieval and question-answering.
ragnarokhaaStore embeddings and metadata, then run vector and full-text searches.
