Convert academic PDF folders into a token-efficient Markdown wiki with YAML frontmatter.
npx skills add https://github.com/BioKT/Skills-BIOKT --skill tyler-biokt
Please help me install this Agent Skill. Skill: tyler Source: https://github.com/BioKT/Skills-BIOKT/tree/main/tyler Command: npx skills add https://github.com/BioKT/Skills-BIOKT --skill tyler-biokt
Large collections of academic PDFs cost tokens to read; this skill reduces token usage by converting PDFs into a token-efficient two-tier markdown wiki with an index and per-paper entries.
Provide the path to your PDFs and an output wiki directory, then run the conversion to generate index.md and papers/*.md.
High-intent search queries and answers about installing and using this skill.
To convert academic PDFs into a markdown wiki, provide a folder path and output directory. The tool processes the literature into a two-tier structure with an index file and per-paper entries containing YAML frontmatter and clean text.
Reducing token usage for research papers involves converting them into compact markdown with optional reference trimming. This strips excess formatting and references to create token-efficient text for literature review workflows.
Yes, you can match PDFs with BibTeX citekeys during markdown conversion. The tool supports optional BibTeX-based citekey matching to assign citation keys directly into the YAML frontmatter of each paper entry.
Incremental processing works by tracking state for updates when adding new PDFs to an existing markdown wiki. This allows you to process only new documents rather than rebuilding the entire index and paper entries.
Converting PDFs to markdown for literature reviews generates a two-tier file structure. This includes a root index.md file and a directory containing individual paper files with YAML frontmatter and clean body text.
FuZhiyuRetrieve and analyze academic papers from a Zotero library with citations and BibTeX export.
alexanderopAggregate weekly review notes into a consolidated monthly markdown overview.
anilcan-karaExtract text from PDFs and scanned documents using pymupdf or marker-pdf.
tsinghua-fib-labSearch academic literature across arXiv, CrossRef, and OpenAlex sources.
