Retrieve academic papers and analyze sections via DeepXiv and arXiv.
npx skills add https://github.com/dogekiki/SP-test --skill deepxiv-dogekiki
Please help me install this Agent Skill. Skill: deepxiv Source: https://github.com/dogekiki/SP-test/tree/main/.trae/skills/deepxiv Command: npx skills add https://github.com/dogekiki/SP-test --skill deepxiv-dogekiki
This skill solves the problem of information overload in academic research by providing a layered, progressive approach to reading papers, allowing users to extract key insights without needing to process full documents immediately.
Use the deepxiv skill to search for papers on agent memory and fetch a brief summary of the most relevant result.
High-intent search queries and answers about installing and using this skill.
Academic paper search through arXiv integration provides brief summaries, section-level maps, and specific content blocks. This progressive reading approach extracts key insights and metadata without requiring you to process full documents immediately.
Citation counts and trending paper analysis are supported through multi-source retrieval. The skill integrates DeepXiv, arXiv, and Semantic Scholar to provide comprehensive metadata for academic literature discovery and research workflows.
Long-term knowledge management is handled by automated research wiki ingestion. Read papers are automatically ingested into a research wiki, allowing you to build a persistent knowledge base from your academic literature retrieval sessions.
Progressive academic literature retrieval requires the deepxiv-sdk dependency to function. Optional local adapter scripts can also be configured to manage multi-source metadata and citation mapping for enhanced research workflows.
To fetch a brief summary, use the skill to search for papers on your specific topic and request the most relevant result. The system returns a summary layer, saving time and tokens compared to extracting full text.
czh-ee-2023Retrieve and display DeepXiv academic papers section by section.
linfordWuIngest sources into a persistent, interlinked markdown knowledge base.
goupup-aiSearch peer-reviewed journal and conference papers via the Semantic Scholar API.
goupup-aiSearch arXiv and Semantic Scholar papers and read sections without full document loads.
