Scholar Research Companion
Streamlines academic research by generating, validating, and analyzing structured research paper sidecars for token-efficient literature review.
Scholar Research Companion is a specialized tool for researchers and developers using Claude Code to interact with academic literature. It leverages the Knows (.knows.yaml) specification to transform dense PDFs into structured data, reducing token consumption by up to 93%. By integrating with knows.academy and OpenAlex, it allows users to search for papers, fetch metadata, extract claims and evidence, and perform structural comparisons between different studies. Whether you are authoring a new paper or synthesizing a survey, this skill ensures your research workflows are data-driven, schema-compliant, and highly efficient.