skill-ab-test
Skill2 starsChanged 2 months agoNo licenceView on GitHub
A/B test a skill version by regenerating its artifacts fresh and comparing against artifacts made by the older version. Use when the user asks to "A/B test this skill", "regenerate with the new skill and compare against the old outputs", "check whether the skill rewrite improved or regressed", "validate a skill refactor against real outputs", or wants to turn old-vs-new artifact differences into concrete skill edits. The artifact is anything a skill produces end to end (a course, a document set, a codebase scaffold); the reference instance is a teach-skill A/B over three study courses. Not for reviewing the skill text itself (use a meta-review for that) - this skill measures outputs.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- leafyoung/shared_skillsword for word, first seen Oct 8, 2026
Other versions1 project uses a version of this.
Word for word · 1
- leafyoung/shared_skills★ 2100% 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 repository20 other files it gives its agents.
- agent-design-for-batchSkill
- ai-code-reviewSkill
- cpp-runtime-auditSkill
- critical-researchSkill
- gh-copilot-pr-rollSkill
- handoffSkill
- ipynb-to-marimoSkill
- manim-math-tutorSkill
- markitdownSkill
- mdbook-authoringSkill
- mean-reversion-testingSkill
- mental-modelsSkill
- notebook-output-dedupSkill
- rust-hardenSkill
- rust-runtime-auditSkill
- slides-teachSkill
- teach-marimoSkill
- teachSkill
- video-teachSkill
- visualizeSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
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.
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.

