Scholar Research Companion
Streamlines academic research by managing token-efficient research paper sidecars using the Knows specification.
oma-scholar is a specialized research tool designed to automate scholarly workflows within Claude Code. By utilizing the Knows sidecar specification (.knows.yaml), it extracts and manages claims, evidence, and relations from research papers, reducing token consumption by up to 93% compared to full PDF analysis. The skill enables researchers to search for papers via knows.academy or OpenAlex, generate validated sidecars from drafts, perform structural paper comparisons, and conduct structured peer reviews, making it an essential companion for literature surveys, synthesis, and academic authoring.
Key Features
01Produce structured peer reviews and validation reports for academic drafts
02Generate and lint .knows.yaml sidecars for token-efficient claim and evidence access
03Execute automated literature search with intelligent fallback for non-indexed papers
04Search and fetch research paper metadata and sidecars from knows.academy and OpenAlex
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06Perform structural comparisons between papers focusing on methods and findings
Use Cases
01Comparing methodologies and evidence across multiple papers for meta-analysis
02Validating the structural integrity of research claims and evidence in academic manuscripts
03Synthesizing literature reviews without processing full-length PDFs to save tokens