Learn anything with the /teach skill
Description
Watch: full video.This short walkthrough shows how a /teach skill can turn an AI agent into a more structured learning partner, not just a chatbot that explains things on demand. The useful idea is that the skill does not simply answer questions; it creates lessons, checks understanding, tracks progress, and tries to teach at the learner’s next reachable level. For knowledge workers, the value is a clearer way to use AI for learning: not asking for generic explanations, but designing a guided path that stretches without overwhelming.
Official video embed
Matt Pocock, YouTube · 2026-06-08
Matt Pocock, YouTube · 2026-06-08
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Open original sourceKey Takeaways
- A /teach skill turns learning into a repeatable workflow: choose a topic, assess what the learner already understands, create a lesson, check comprehension, and adapt the next step.
- The important teaching idea is the “zone of proximal development”: the lesson should be just beyond the learner’s current ability, difficult enough to stretch them but not so hard that they get lost.
- Good AI teaching is not just explanation; it needs feedback loops, examples, questions, progress tracking, and ways to notice when the learner is confused.
- For knowledge workers, the practical lesson is to use AI as a structured tutor for difficult topics, not just as a search box for quick answers.