teach-back
Skill69 starsChanged 4 days agoNo licenceView on GitHub
Find out what the user actually understands about a topic by having them explain it back (the Feynman technique), then probe the gaps one question at a time and end with a one-page cheat sheet and spaced review questions. Works for anything they are studying or have just read, watched or built: a paper, a course, a codebase, an interview topic, a concept. Use when the user says "quiz me", "test my understanding", "help me study", "I'm preparing for an interview on X", "did I get this right", or "make me a cheat sheet".
5 other projects use a version of this.
Adopted by
Most recently taken up by
- PeteChu/skillstheir own version, first seen Oct 11, 2026
- opelpleple/meta-skillstheir own version, first seen Oct 11, 2026
- tmusser/ai-engineering-skillstheir own version, first seen Aug 19, 2026
- behnamazimi/skillstheir own version, first seen Jul 18, 2026
- ChewbaccaRoars/pathfinder-skillstheir own version, first seen Mar 22, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- tmusser/ai-engineering-skills★ 6same name
- ChewbaccaRoars/pathfinder-skills★ 2same name
- behnamazimi/skills★ 1same name
- PeteChu/skills★ 1same name
- opelpleple/meta-skills★ 0same name
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 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
- paper-to-runnableSkill
- system-design-from-scratchSkill
- 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
9 rules. 0 are common, 8 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
8
Distinctive
This author's own choices. Worth a look.
1
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 measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “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.
Reviews can't be read right now.
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.