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Agent skill

Auto Paper Demo

by marimo-team in marimo-team/skills

Make a demo of a research paper in a marimo notebook fully automatically without extra user input.

Apache-2.0Auto-check passedResearch & Science

Install Auto Paper Demo

skills CLI
$ npx skills add marimo-team/skills --skill auto-paper-demo -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install marimo-team/skills auto-paper-demo --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/marimo-team/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/auto-paper-demo .claude/skills/auto-paper-demo && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
auto-paper-demo
GitHub stars
175
Token cost
~1k tokens
SKILL.md length
606 words
Files
2 (incl. references)
Skills in repo
4
Repo updated
First seen
Licence
Apache-2.0

At a glance

Make a demo of a research paper in a marimo notebook fully automatically without extra user input.

  • Tasks that involve Jupyter notebooks
  • SKILL.md covers Extract the paper ID, Fetch the AI-generated…, Fetch the full paper text… and Error handling, plus 1 more section
  • Calls curl; reaches arxiv.org and alphaxiv.org

What it does

Auto Paper Demo is an agent skill from marimo-team/skills. Make a demo of a research paper in a marimo notebook fully automatically without extra user input.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/ANYWIDGET.md`).

It sits in Research & Science, covering Jupyter notebooks. It works with marimo. The repository describes itself as: skills for coding agents related to marimo. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Jupyter notebooks

Example prompts

  • “/auto-paper-demo”

What it can do on your machine

Read from SKILL.md and the folder at commit 6454470. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • arxiv.org
    • alphaxiv.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Auto Paper Demo loads about 1k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 29 tokens; SKILL.md has 606 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~29
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from marimo-team/skills at commit 6454470, republished under its Apache-2.0 licence (© marimo-team). 606 words, ~1,012 tokens.

Download SKILL.mdSave it as .claude/skills/auto-paper-demo/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
auto-paper-demo
description
Make a demo of 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:

InputPaper ID
https://arxiv.org/abs/2401.123452401.12345
https://arxiv.org/pdf/2401.123452401.12345
https://alphaxiv.org/overview/2401.123452401.12345
2401.12345v22401.12345v2
2401.123452401.12345

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.

Show full SKILL.md (225 more words)Show less

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.

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. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/auto-paper-demo of marimo-team/skills.

  • SKILL.md
  • references/ANYWIDGET.md

Open the folder on GitHubat commit 6454470

Compare with similar skills

Auto Paper Demo next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Auto Paper Demo compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Auto Paper Demo this skillmarimo-team/skills175—~1kAutomated safety check: PassApache-2.0
Wasm Compatibilityericmjl/llamabot1832 repos~1.6kAutomated safety check: PassNone
Marimo Paircosanlab/nltools1311 repos~3kAutomated safety check: PassMIT
Marimo Notebookcosanlab/nltools1314 repos~2.1kAutomated safety check: PassMIT
Marimo Batchkoaning/gitcharts1451 repos~819Automated safety check: NotesNone
Marimo PairPhySpace/SimpleCADAPI142—~3kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Auto Paper Demo

What does Auto Paper Demo do?

Make a demo of a research paper in a marimo notebook fully automatically without extra user input. Auto Paper Demo is an agent skill from marimo-team/skills. Make a demo of a research paper in a marimo notebook fully automatically without extra user input.

When should I use Auto Paper Demo?

Auto Paper Demo fits situations like: tasks that involve Jupyter notebooks.

How do I install Auto Paper Demo in Claude Code?

Run `npx skills add marimo-team/skills --skill auto-paper-demo -a claude-code`. Or copy the skill folder (skills/auto-paper-demo in marimo-team/skills) into .claude/skills/auto-paper-demo in your project. Claude Code loads it when a task matches its description.

How do I install Auto Paper Demo in Codex?

Run `npx skills add marimo-team/skills --skill auto-paper-demo -a codex`. Or copy the skill folder (skills/auto-paper-demo in marimo-team/skills) into .agents/skills/auto-paper-demo in your project. Codex loads it when a task matches its description.

Can I use Auto Paper Demo in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add marimo-team/skills --skill auto-paper-demo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/auto-paper-demo, .gemini/skills/auto-paper-demo, .github/skills/auto-paper-demo and .opencode/skills/auto-paper-demo in your project.

What does Auto Paper Demo need to run?

Going by SKILL.md and its folder, Auto Paper Demo needs the command-line tools its instructions call (curl).

Does Auto Paper Demo access the network?

SKILL.md names 2 domains. In commands or code: arxiv.org and alphaxiv.org; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Auto Paper Demo safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Auto Paper Demo use?

Auto Paper Demo is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Auto Paper Demo use?

About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 958 tokens, read only when the agent opens those files.

What are the alternatives to Auto Paper Demo?

Skills that share tags, products or a category with Auto Paper Demo: Wasm Compatibility (ericmjl/llamabot, 183 stars), Marimo Pair (cosanlab/nltools, 131 stars), Marimo Notebook (cosanlab/nltools, 131 stars) and Marimo Batch (koaning/gitcharts, 145 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Auto Paper Demo?

marimo-team (a GitHub organization) maintains it in marimo-team/skills, which has 175 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on August 19, 2026.

Source: marimo-team/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.