DE

deepxiv-trending-digest

Automated pipeline to fetch, summarize, and rank the latest hot research papers into a markdown digest.

Install

mkdir -p .claude/skills/deepxiv-trending-digest && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/14218" && unzip -o skill.zip -d .claude/skills/deepxiv-trending-digest && rm skill.zip

Installs to .claude/skills/deepxiv-trending-digest

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

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.
202 charsno explicit “when” trigger
Intermediate

Key capabilities

  • →Find trending academic papers using DeepXiv
  • →Briefly summarize candidate papers to screen them
  • →Inspect the structure of promising papers using `--head`
  • →Read specific high-value sections of papers using `--section`
  • →Generate a markdown digest with recommendations for deeper reading

How it works

The skill pulls trending papers from DeepXiv, briefs each candidate, ranks them for deeper inspection, reads specific sections, and then compiles a markdown digest.

Inputs & outputs

You give it
User request for recent hot papers or trending paper summary
You get back
A markdown digest of trending papers with summaries and recommendations

When to use deepxiv-trending-digest

  • →Get a weekly research summary
  • →Find trending machine learning papers
  • →Create a report of top papers for a team
  • →Filter high-potential papers for deep reading

About this skill

DeepXiv Trending Digest

Turn DeepXiv trending results into a skimmable, evidence-labeled digest with selective deeper reading and explicit recommendations.

Dependency and boundary

Use deepxiv-cli as the source of truth for DeepXiv command syntax and semantics. Follow this retrieval sequence:

trending → paper --brief → selected paper --head → selected paper --section

Do not duplicate or reinterpret CLI options here. If installed behavior is uncertain, check deepxiv <command> --help. Do not use this workflow for general literature search or baseline comparison.

Workflow

  1. Choose the requested trending window and item count. When unspecified, use the current CLI defaults or a manageable seven-day, ten-paper first pass.
  2. Fetch trending results as JSON for reliable screening.
  3. Brief every retained candidate before deeper reading.
  4. Rank candidates by relevance to the user, novelty, practical or research significance, strength of the stated result, code availability, and apparent momentum.
  5. Select only the strongest one to three papers for deeper inspection.
  6. Use --head to identify high-value sections, then read at most one or two sections per selected paper unless the user asks for a deep dive.
  7. Distinguish paper claims from your assessment and label the evidence depth for every recommendation.

Keep an interesting paper in the digest even when it does not merit deeper reading. Do not equate popularity with quality, and do not treat an unverified claim from a brief as established evidence.

Selection and recommendation contract

For each paper, capture when available:

  • title, paper identifier, and publication date
  • concise statement of what it does
  • why it may matter
  • code URL or code availability
  • notable result or caveat
  • evidence checked: brief, head metadata, or named sections
  • recommendation: Yes, Maybe, or No, with one reason

Prefer deeper inspection when the contribution is unclear, a result sounds unusually strong, the method is central to the user's interests, or limitations affect the recommendation. Skip deeper reading when the brief is sufficient or the paper is incremental, out of scope, or weakly supported.

Output contract

Unless the user requests another format, write:

trending-paper-digest-YYYY-MM-DD.md

Include:

  1. Scope: date, trending window, source, and number screened.
  2. Executive summary: major themes and the strongest one to three recommendations.
  3. Papers reviewed, each with:
    • what it is about
    • why it matters
    • evidence checked
    • Yes/Maybe/No deeper-reading recommendation
    • deeper notes only when sections were actually read
  4. Recommended deep dives: why each stands out, which section to read next, and what question it may answer.
  5. Cross-cutting trends: repeated themes, common methods, shared limitations, and possible hype signals.

Keep paragraphs short and bullets flat. Explicitly identify brief-only summaries, avoid claiming verification beyond retrieved evidence, and explain uncertainty rather than filling gaps.

When not to use it

  • →When the user needs a full, in-depth analysis of every paper
  • →When the papers are not from DeepXiv or similar academic repositories
  • →When the goal is to write a detailed research paper rather than a digest

Limitations

  • →The skill focuses on DeepXiv trending papers
  • →The skill aims for a concise digest, not a full analysis of each paper
  • →The skill recommends reading at most 1-2 sections per paper unless explicitly asked

How it compares

This skill provides a structured workflow for efficiently digesting trending academic papers by prioritizing brief summaries and targeted section reads, unlike reading full papers sequentially.

Compared to similar skills

deepxiv-trending-digest side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
deepxiv-trending-digest (this skill)05moReviewIntermediate
read-arxiv-paper166moNo flagsIntermediate
arxiv-to-md48moNo flagsBeginner
arxiv-viewer48moReviewBeginner

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