paper-to-runnable
Skill69 starsChanged 5 days agoNo licenceView on GitHub
Turn a research paper (arXiv id, arXiv URL or local PDF) into the smallest honest working implementation of its core idea, checked with a sanity ladder and a toy reproduction of the paper's main result, plus plots or an animation of what happens inside and a short explainer. Use when the user says "implement this paper", "reproduce this paper", "explain this paper by building it", "code up this arXiv paper", "make this paper runnable", "does this paper's result hold", or pastes an arXiv link and wants to understand how it works.
In this repository23 other files it gives its agents.
- api-design-reviewSkill
- benchmark-honestlySkill
- bisect-anythingSkill
- codebase-mapSkill
- dx-auditSkill
- flaky-test-killerSkill
- security-threat-modelSkill
- brand-kitSkill
- image-genSkill
- from-scratchSkill
- system-design-from-scratchSkill
- teach-backSkill
- next-stepSkill
- skill-routerSkill
- video-scriptSkill
- clean-audioSkill
- code-loopSkill
- perspective-illusionSkill
- repo-timelapseSkill
- reverse-engineer-videoSkill
- rough-cutSkill
- scripted-screencastSkill
- vox-explainerSkill
The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 3 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “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.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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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.