Search, summarize, and analyze scholarly papers from arXiv and PMC via CLI.
npx skills add https://github.com/DeepXiv/deepxiv_sdk --skill deepxiv-cli-deepxiv
Please help me install this Agent Skill. Skill: deepxiv-cli Source: https://github.com/DeepXiv/deepxiv_sdk/tree/main/skills/deepxiv-cli Command: npx skills add https://github.com/DeepXiv/deepxiv_sdk --skill deepxiv-cli-deepxiv
Researchers often need to locate, summarize, and reason about open-access scholarly papers from multiple sources. This skill provides a CLI-driven workflow to efficiently search, inspect metadata, and extract key insights without loading entire papers.
Install and start using the DeepXiv CLI to search papers and read selected sections.
High-intent search queries and answers about installing and using this skill.
To search and summarize arXiv papers using a CLI, you can use a local command-line interface that performs hybrid search across arXiv and PMC, retrieves metadata, and provides AI-assisted analysis for quick literature discovery.
Hybrid search for open-access scholarly papers is a mechanism that surfaces relevant documents quickly from multiple repositories like arXiv and PMC, allowing researchers to locate literature without loading entire papers or needing full-text access.
Yes, you can read specific sections of PMC papers without full text by using section-level reading and metadata retrieval features, enabling targeted inspection and extraction of key insights directly through the CLI.
Yes, you need Python 3 and the deepxiv-sdk package to run the DeepXiv CLI for research paper analysis. Optional agent configuration is also available to enable iterative questioning and guidance during your workflow.
The CLI tool supports searching arXiv and PMC currently, with forthcoming support planned for bioRxiv and medRxiv sources to expand open-access scholarly paper discovery and literature review capabilities.
The best way to extract key insights for a literature review from multiple sources is using a CLI-driven workflow with AI-assisted analysis and structured outputs, which synthesizes findings from arXiv and PMC without loading entire papers.
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