paper-search

To search Markdown notes for research papers, this skill uses grep to scan your vault and queries metadata like titles, authors, keywords, domains, or tags. It returns relevance-ranked results grouped by research area with wikilink references to the matching notes.

Yes, you can locate paper notes by author and domain. The skill extracts metadata from frontmatter and content, allowing you to query your notes vault using specific criteria like title, author, keywords, domain, or tags.

The best way to retrieve matching literature from a knowledge base is to ask the AI to search for a topic across your paper notes. It applies a grep-based search across Markdown files to instantly locate relevant papers and return grouped results.

Yes, the paper search works with frontmatter metadata in Markdown files. It scans the files using grep, extracts metadata from both the frontmatter and the content, and ranks the results by relevance to your query.

You get wikilink references by running a search query across your organized paper notes. The skill scans the Markdown files, extracts matching metadata, and returns relevance-ranked results that include wikilink references to open the corresponding notes directly.

You do not need a specific folder structure, but your paper notes must be stored as Markdown files in a notes vault. The skill uses grep to scan the vault and query metadata like keywords and tags to locate relevant literature quickly.