Deepxiv
Search and progressively read open-access academic papers through DeepXiv.
Install
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill deepxiv -g -a claude-code -y- Repository
- wanshuiyin/Auto-claude-code-research-in-sleep18.4k
- Category
- Engineering
- Updated
- 4d ago
- License
- MIT
- Context cost
- Mediumabout 2,099 tokens
- Runs scripts
- No, instructions only
What it does
Search and progressively read open-access academic papers through DeepXiv. Use when the user wants layered paper access, section-level reading, trending papers, or DeepXiv-backed literature retrieval.
DeepXiv Paper Search & Progressive Reading
Search topic or paper ID: $ARGUMENTS
Role & Positioning
DeepXiv is the progressive-reading literature source:
| Skill | Source | Best for |
|---|---|---|
/arxiv | arXiv API | Batch search, PDF download, metadata |
/deepxiv | DeepXiv SDK | Progressive section-level reading |
/semantic-scholar | S2 API | Published venue metadata, citation counts |
/alphaxiv | www.alphaxiv.org | Instant LLM-optimized summary of one paper, with LaTeX source fallback |
Use DeepXiv when you want to avoid loading full papers too early.
Constants
- DEEPXIV_FETCHER, canonical name
deepxiv_fetch.py, resolved pershared-references/integration-contract.md§2 (Policy D1, primary + fallback cascade). If unresolved (canonical chain exhausted), fall back to the rawdeepxivCLI (documented per command below). - MAX_RESULTS = 10, Default number of results to return.
Overrides (append to arguments):
/deepxiv "agent memory" - max: 5, top 5 results/deepxiv "2409.05591" - brief, quick paper summary/deepxiv "2409.05591" - head, metadata + section overview/deepxiv "2409.05591" - section: Introduction, read one section only/deepxiv "trending" - days: 14 - max: 10, trending papers/deepxiv "karpathy" - web, DeepXiv web search/deepxiv "258001" - sc, Semantic Scholar metadata by ID
Setup
DeepXiv is optional. If the CLI is not installed, tell the user:
pip install deepxiv-sdk
