deepxiv

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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.

AI & Automation 11,051 stars 1037 forks Updated today MIT

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Skill Content

# 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` | 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 per [`shared-references/integration-contract.md`](../shared-references/integration-contract.md) §2 (Policy D1 — primary + fallback cascade). If unresolved (canonical chain exhausted), fall back to the raw `deepxiv` CLI (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 ...

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Author
wanshuiyin
Repository
wanshuiyin/Auto-claude-code-research-in-sleep
Created
2 months ago
Last Updated
today
Language
Python
License
MIT

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