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implement-paper-auto — Claude Code skill

Reads a research paper and builds a runnable marimo notebook around one idea from it. No questions asked along the way.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add marimo-team/skills --skill implement-paper-auto -a claude-code
Open on GitHub

What implement-paper-auto does

Give the skill a paper and it produces a notebook. The paper ID is parsed out of whatever you paste: an arxiv.org/abs/... link, a pdf link, an alphaxiv.org overview page, or a bare number such as 2401.12345v2. The first call goes to https://alphaxiv.org/overview/{PAPER_ID}.md, which returns a markdown analysis. When a specific equation, table or proof is missing there, the skill pulls the extracted full text from https://alphaxiv.org/abs/{PAPER_ID}.md. Both endpoints are public, so no key is involved.

The hard part is picking the story, not writing code. A paper usually carries several ideas; the skill keeps one and drops the rest. Reimplementing everything or rerunning a large benchmark is out of scope. What you get is a notebook that runs on a CPU and leaves the reader with a single takeaway, often a side-by-side of two approaches with one or two charts, sometimes a dropdown or slider for settings. Scrolling should stay minimal.

Notebook assembly goes through the marimo-notebook skill. A custom anywidget is pulled in only when it genuinely helps the explanation. In the finished file the code is hidden and the input and output cells sit at the top. If the overview has not been generated yet, that first request returns 404 and the skill falls back to the full text; a 404 there leaves only the PDF at https://arxiv.org/pdf/{PAPER_ID}.

What it helps with

  • turn an arXiv paper into a notebook you can actually run
  • pick one idea from a paper that fits a short example
  • build a two-approach comparison with a chart and a couple of controls
  • hide the code and move input and output cells to the top
  • skip reading the raw PDF

Example prompts for the agent

  • Build a marimo notebook from https://arxiv.org/abs/2401.12345
  • Implement the idea in 2401.12345v2 as a notebook with the code hidden
  • Make an interactive example from the paper at alphaxiv.org/overview/2401.12345

How to install implement-paper-auto

1Skills CLI (Vercel)

npx skills add marimo-team/skills --skill implement-paper-auto -a claude-code

2Manually: put the files in place

~/.claude/skills/implement-paper-auto/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/implement-paper-auto/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about implement-paper-auto

How do I install implement-paper-auto in Claude Code?

Run npx skills add marimo-team/skills --skill implement-paper-auto -a claude-code. The skill lands at ~/.claude/skills/implement-paper-auto/SKILL.md.

What does implement-paper-auto do?

It fetches a paper through alphaxiv.org, settles on one idea and builds a marimo notebook with an interactive example around it. It does not ask you for input.

Does it need an API key?

No. The alphaxiv.org endpoints are public. When no overview exists for a paper, the skill requests the full text, and if that is missing too it points to the PDF on arxiv.org.

Source text

SKILL.md · Apache-2.0
---
name: implement-paper-auto
description: Implement a research paper in a marimo notebook fully automatically without extra user input.
---

You need to come up with a compelling story to tell from a paper. Do not ask the user for feedback/input. You need to apply thinking and come up with the best story yourself.

# Fetching Papers via AlphaXiv

Use alphaxiv.org to get structured, LLM-friendly paper content. This is faster and more reliable than trying to read a raw PDF.

## 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` |

## Fetch the AI-generated overview (try this first)

```bash
curl -s "https://alphaxiv.org/overview/{PAPER_ID}.md"
```

Returns a structured, detailed analysis of the paper as plain markdown. One call, no JSON parsing.

## Fetch the full paper text (fallback)

If the overview doesn't contain the specific detail you need (e.g., a particular equation, table, or proof):

```bash
curl -s "https://alphaxiv.org/abs/{PAPER_ID}.md"
```

Returns the full extracted text of the paper as markdown.

## Error handling

- **404 on the overview**: Report hasn't been generated for this paper yet. Try the full text instead.
- **404 on the full text**: Text hasn't been processed yet. As a last resort, direct the user to the PDF at `https://arxiv.org/pdf/{PAPER_ID}`.
- No authentication is required — these are public endpoints.

## What is a good implementation? 

A good implementation tells a story, that's the most important thing. The story should be simple, but it should not be missing. 

Papers typically have more than one concept in them. So that means you need to pick a story! It isn't the goal to fully implement the paper or to rerun a giant benchmark. The goal is to take a lesson/idea and to explain that very clearly in a notebook that can simply run on a CPU. That way, a user can easily run learn something from it. When you look at the notebook, what is the main concept or idea that you think is worth exploring? What is the concept that tells a story? 

Pick the idea that is easiest to explain with a minimum code example. For a minimum code example to really work, it tends to help to have one, maybe two charts to look at. Maybe there's a dropdown that lets you try out different settings. Possibly even a slider. But the one thing we would want to do is prevent that the user needs to do a lot of scrolling. 

It will be typical that you'll want to compare two approaches. But take a moment to think about the example, because that matters most to the story. Most of the time you don't want to use a toy example. They're not informative and they are overdone. It may be better to generate a creative example that shows where one approach can really shine. We don't want to cherry pick, but we also don't want to do examples that have been overdone either. 

I cannot stress enough how important it is to actually think about the story and the example before you write any code whatsoever. You should really ultra think this. Give the user some interaction but really try to prevent scrolling. A good example tells a story, it doesn't just state some facts. 

Feel free to think about this decision, but once you've got it clear what idea is best to showcase, immediately proceed to build the marimo notebook. 

Use the marimo-notebook skill for this, and possibly the anywidget skill, but only if a custom widget makes for a better story. If you strongly feel that it makes sense to use a custom anywidget, refer to [references/ANYWIDGET.md](references/ANYWIDGET.md).

When you are ready, make sure that you hide all the code and that you move the cells with inputs/outputs to the top of the file. 

Example: 

```
@app.cell
def _(hide_code=True):
    import marimo as mo
    return mo
```

© marimo-team · Apache-2.0 · marimo-team/skills

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