implement-paper-auto
Skill4 starsChanged yesterdayMITView on GitHub
Implement a research paper in a marimo notebook fully automatically without extra user input.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- marimo-team/skillsword for word, first seen Mar 4, 2026
Other versions1 project uses a version of this.
Word for word · 1
- marimo-team/skills★ 174100% 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 repository58 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- anywidget-generatorSkill
- brandkitSkill
- design-taste-frontendSkill
- diagram-designSkill
- docxSkill
- frontend-designSkill
- full-output-enforcementSkill
- gpt-tasteSkill
- grill-meSkill
- high-end-visual-designSkill
- imagegen-frontend-mobileSkill
- imagegen-frontend-webSkill
- image-to-codeSkill
- impeccableSkill
- implement-paperSkill
- industrial-brutalist-uiSkill
- jupyter-to-marimoSkill
- marimo-notebookSkill
- minimalist-uiSkill
- pdfSkill
- postrboardSkill
- pptxSkill
- redesign-existing-projectsSkill
- skill-creatorSkill
- stitch-design-tasteSkill
- streamlit-to-marimoSkill
- xlsxSkill
- brandkitSkill
- design-taste-frontendSkill
- full-output-enforcementSkill
- gpt-tasteSkill
- high-end-visual-designSkill
- imagegen-frontend-mobileSkill
- imagegen-frontend-webSkill
- image-to-codeSkill
- impeccableSkill
- industrial-brutalist-uiSkill
- minimalist-uiSkill
- redesign-existing-projectsSkill
- stitch-design-tasteSkill
- network-flowSkill
- create-lib-docsSkill
- artwallbgSkill
- commentdropSkill
- newsletter-aiSkill
- prodigySkill
- scrolls-explainerSkill
- scrolls-helpSkill
- scrolls-hideSkill
- scrolls-removeSkill
- scrolls-restoreSkill
- scrolls-setupSkill
- scrolls-unhideSkill
- scrolls-updateSkill
- stata-recipesSkill
- dynamic-promo-videoSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
Use alphaxiv.org to get structured, LLM-friendly paper content.
- Distinctive: line 34
If the overview doesn't contain the specific detail you need (e.g., a particular equation, table, or proof):
- Distinctive: line 46
No authentication is required — these are public endpoints.
- Distinctive: line 62
Use the marimo-notebook skill for this, and possibly the anywidget skill, but only if a custom widget makes for a better story.
- Distinctive: line 64
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.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 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
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)
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):
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.
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 moDoes 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.

