Search academic papers across Semantic Scholar, OpenAlex, and local libraries.
npx skills add https://github.com/praveenperera/dotfiles --skill aps
Please help me install this Agent Skill. Skill: aps Source: https://github.com/praveenperera/dotfiles/tree/main/claude/skills/aps Command: npx skills add https://github.com/praveenperera/dotfiles --skill aps
Academic researchers face fragmentation when searching, filtering, and accessing papers across Semantic Scholar, OpenAlex, and local libraries. This skill provides a single CLI to perform cross-backend searches, consolidate results, and streamline access to PDFs and metadata.
Search academic papers across Semantic Scholar, OpenAlex, and your local library.
High-intent search queries and answers about installing and using this skill.
You can search academic papers across Semantic Scholar and OpenAlex simultaneously using a unified CLI that executes parallel cross-backend queries and consolidates the results into a single, consistent metadata set.
Local library management is supported, allowing you to download PDFs, perform full-text searches, and access citation tracking for offline literature review workflows.
The best way to consolidate academic paper metadata from multiple sources is using a unified CLI that orchestrates OpenAlex, Semantic Scholar, and local data to return export-ready metadata and DOIs.
Yes, the academic paper search workflow retrieves paper details, author information, DOIs, and performs arXiv lookups to provide comprehensive metadata for literature discovery.
A key limitation is that cross-backend search results depend on the availability and indexing coverage of Semantic Scholar, OpenAlex, and your local library, which may fragment paper access if a source lacks the record.
dogekikiSearches the OpenAlex academic graph for metadata, citations, and funding data.
GonglitianExtract references and citations from scholarly papers into a structured graph.
shenmuxingConverts a literature plan into local PDFs and a curated BibTeX library.
gy-houSearch 9 academic sources and output ranked candidate papers to candidates.csv.
