Search paper notes by title, author, keyword, or research domain.
npx skills add https://github.com/unstun/dqn10 --skill paper-finder-unstun
Please help me install this Agent Skill. Skill: paper-finder Source: https://github.com/unstun/dqn10/tree/main/.claude/skills/paper-finder Command: npx skills add https://github.com/unstun/dqn10 --skill paper-finder-unstun
Locate relevant paper notes quickly by searching titles, authors, keywords, and research domains within a note collection.
Prompt the AI with a query like "papers about neural networks in cs-ai" to retrieve matching notes.
High-intent search queries and answers about installing and using this skill.
Search existing paper notes by title, author, keyword, or research domain using query-based search. It applies relevance scoring to quickly locate relevant literature within your local note index.
Grouping literature review notes by research domain requires a local index of notes with frontmatter metadata. Domain-grouped results are generated automatically to streamline project planning and literature discovery.
Yes, finding paper notes fast requires a local index of notes containing frontmatter metadata. The Skill queries this metadata to apply relevance scoring and retrieve matching notes.
Retrieve papers about neural networks in the cs-ai domain by prompting the search with your specific query. It matches keywords and domains against your local note index to return relevant results.
Paper search supports literature discovery for grant proposals without external databases by querying a local index. It relies entirely on existing notes with frontmatter metadata rather than live external database connections.
maneeshanifSearch tasks by keyword in titles, descriptions, and tags.
Leo1349Draft structured grant proposals for research funding agencies.
LigphiDonkSearch project notes for research papers by title, author, keyword, or domain.
hepai-labIngest PDFs into a RAGFlow dataset with chunking and metadata enrichment.
