Agent skill · AI & Agents

alphaxiv

Quick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when user says "explain this paper", "summarize paper", pastes an arXiv/AlphaXiv URL, or provides a bare arXiv ID for quick understanding - not for broad literature search.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill alphaxiv-wanshuiyin-auto-claude-code-res-5 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Allowed tools: Bash(*)ReadWriteGlob
Path: skills/ai-llm/alphaxiv-wanshuiyin-auto-claude-code-res-5/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# AlphaXiv Paper Lookup Lookup paper: $ARGUMENTS > Quick single-paper reader with tiered source fallback (overview → full markdown → LaTeX source). Powered by [AlphaXiv](https://alphaxiv.org). ## Role & Positioning This skill is the **quick single-paper reader** that returns LLM-optimized summaries: | 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** | **Do NOT use this skill for** topic discovery, broad literature search, or multi-paper surveys — use `/research-lit` or `/arxiv` instead. ## Constants - **OVERVIEW_URL** = `https://alphaxiv.org/overview/{PAPER_ID}.md` - **ABS_URL** = `https://alphaxiv.org/abs/{PAPER_ID}.md` - **ARXIV_SRC_URL** = `https://arxiv.org/src/{PAPER_ID}` - **ALPHAXIV_UA** = `Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36` — any modern browser UA works; update the ver

What's inside
Steps it walks through
  1. Role & Positioning
  2. Constants
  3. Workflow
  4. Step 1: Parse Arguments & Extract Paper ID
  5. Step 2: Fetch AlphaXiv Overview (Tier 1 — Fastest)
  6. Step 3: Fetch Full AlphaXiv Markdown (Tier 2 — More Detail)
  7. Step 4: Fetch arXiv LaTeX Source (Tier 3 — Deepest)
  8. Step 5: Present Results
  9. Step 6: Research Wiki Ingest
  10. Key Rules
  11. Integration with Other Skills
  12. As enrichment in /research-lit
  13. As follow-up from other skills
Ships with 1 file
  • metadata.json
Commands it runs
curl -sL --max-time 15 -A "{ALPHAXIV_UA}" "https://alphaxiv.org/overview/{PAPER_ID}.md"
curl -sL --max-time 15 -A "{ALPHAXIV_UA}" "https://alphaxiv.org/abs/{PAPER_ID}.md"
if [ -d research-wiki/ ]; then
fi
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About this skill
What does the alphaxiv skill do?

Quick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when user says "explain this paper", "summarize paper", pastes an arXiv/AlphaXiv URL, or provides a bare arXiv ID for quick understanding - not for broad literature search.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill alphaxiv-wanshuiyin-auto-claude-code-res-5 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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