deepxiv-baseline-table
Build a markdown baseline table for a research topic using deepxiv search, brief, head, and…
Summarize recent hot academic papers using deepxiv trending, brief, head, and section reads, then produce a markdown digest highlighting what each paper is about and which papers deserve deeper reading.
$ npx -y skills add deepxiv/deepxiv_sdk --skill deepxiv-trending-digest --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/deepxiv-trending-digestContext preview
The summary Claude sees to decide when to auto-load this skill.
Summarize recent hot academic papers using deepxiv trending, brief, head, and section reads, then produce a markdown digest highlighting what each paper is about and which papers deserve deeper reading.
name: deepxiv-trending-digest description: Summarize recent hot academic papers using deepxiv trending, brief, head, and section reads, then produce a markdown digest highlighting what each paper is about and which papers deserve deeper reading.
Use this skill when the user wants a recent hot-paper roundup, trending paper summary, weekly paper digest, or a markdown report based on DeepXiv trending papers.
Turn recent DeepXiv trending papers into a concise markdown digest:
1. Find currently hot papers with `deepxiv trending` 2. Brief each candidate with `deepxiv paper <id> --brief` 3. Select the most promising papers for deeper inspection 4. Inspect structure with `deepxiv paper <id> --head` 5. Read only the most relevant sections with `deepxiv paper <id> --section ...` 6. Write a clean `.md` summary with recommendations
Start with a small, recent set unless the user asks otherwise.
deepxiv trending --days 7 --limit 10 --json
Default heuristics:
For each selected arXiv ID, fetch a brief first:
deepxiv paper <arxiv_id> --brief
Capture:
Do not jump to full text yet. `--brief` is the default screening step.
After reading briefs, choose the top 1-3 papers for deeper inspection.
Use signals like:
If a paper sounds incremental, unclear, or out of scope, keep it in the digest but skip deep reading.
For the chosen papers:
deepxiv paper <arxiv_id> --head
Use `--head` to decide whether to drill down and which section matters most.
Look for sections such as:
Prefer section reads over full paper reads.
Read at most 1-2 sections per paper unless the user explicitly asks for a deep dive.
Examples:
deepxiv paper <arxiv_id> --section Introduction deepxiv paper <arxiv_id> --section Method deepxiv paper <arxiv_id> --section Results
Selection guidance:
Avoid reading everything.
Write a markdown file in the current workspace unless the user gave a different path.
Recommended filename:
trending-paper-digest-YYYY-MM-DD.md
Recommended structure:
# Trending Paper Digest Date: YYYY-MM-DD Window: Last 7 days Source: deepxiv trending ## Executive Summary - 2-4 bullets with the main themes across the trending list - Mention the 1-3 most promising papers ## Papers Reviewed ### 1. Paper Title (`arXiv:xxxx.xxxxx`) What it is about: Short paragraph based mainly on `--brief`. Why it matters: - Bullet - Bullet Worth deeper reading? Yes/Maybe/No, with one sentence. If deeper review was done: Sections checked: - Introduction - Method Deeper notes: Short paragraph with the key insight, evidence, or caveat. ### 2. ... ## Recommended Deep Dives ### Paper Title - Why it stands out - Which section to read next - What question it could answer ## Cross-Cutting Trends - Repeated themes - Common methods - Shared limitations or hype signals
deepxiv trending --days 7 --limit 5 --json deepxiv paper 2603.20639 --brief deepxiv paper 2603.26221 --brief deepxiv paper 2603.20639 --head deepxiv paper 2603.20639 --section Introduction
Then write the digest as markdown and clearly label:
Talk to research papers like talking to authors - Python package with AI agent for arXiv papers
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