alphaxiv-paper-lookup
Skill2 starsChanged 8 months agoMITView on GitHub
Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview. This is faster and more reliable than trying to read a raw PDF.
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 4 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview.
- Distinctive: line 39
If this returns 404, the report hasn't been generated for this paper yet.
- Distinctive: line 43
If the report doesn't contain the specific information the user is asking about (e.g.
- Very specific: line 51
If this returns 404, the full text hasn't been processed yet.
- Distinctive: line 60
No authentication required — these are public endpoints.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AlphaXiv Paper Lookup
Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview. This is faster and more reliable than trying to read a raw PDF.
When to Use
- User shares an arxiv URL (e.g.
arxiv.org/abs/2401.12345) - User mentions a paper ID (e.g.
2401.12345) - User asks you to explain, summarize, or analyze a research paper
- User shares an alphaxiv URL (e.g.
alphaxiv.org/overview/2401.12345)
Workflow
Step 1: Extract the paper ID
Parse the paper ID from whatever the user provides:
| Input | Paper ID |
https://arxiv.org/abs/2401.12345 | 2401.12345 |
https://arxiv.org/pdf/2401.12345 | 2401.12345 |
https://alphaxiv.org/overview/2401.12345 | 2401.12345 |
2401.12345v2 | 2401.12345v2 |
2401.12345 | 2401.12345 |
Step 2: Fetch the machine-readable report
curl -s "https://alphaxiv.org/overview/{PAPER_ID}.md"This returns the intermediate machine-readable report — a structured, detailed analysis of the paper optimized for LLM consumption. One call, plain markdown, no JSON parsing.
If this returns 404, the report hasn't been generated for this paper yet.
Step 3: If you need more detail, fetch the full paper text
If the report doesn't contain the specific information the user is asking about (e.g. a particular equation, table, or section), fetch the full paper text:
curl -s "https://alphaxiv.org/abs/{PAPER_ID}.md"This returns the full extracted text of the paper as markdown. Only use this as a fallback — the report is usually sufficient.
If this returns 404, the full text hasn't been processed yet. As a last resort, direct the user to the PDF at https://arxiv.org/pdf/{PAPER_ID}.
Error Handling
- 404 on Step 2: Report not generated for this paper.
- 404 on Step 3: Full text not yet extracted for this paper.
Notes
- No authentication required — these are public endpoints.
Other versions1 project uses a version of this.
Word for word · 1
- knoel99/claude-skills★ 1100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository9 other files it gives its agents.
- auto-researchSkill
- code-explainerSkill
- debugSkill
- frontend-designSkill
- guided-learningSkill
- investigateSkill
- opentuiSkill
- pdfSkill
- slide-deckSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.