Learn anything with the /teach skill — AI Summary

Summary

By treating AI as a stateful teaching assistant, you can create personalized, iterative learning paths that maintain context and adapt to your progress. This method uses structured HTML lessons and feedback loops to guide users through complex subjects while ensuring they remain in their optimal zone of development.

Key Topics

• Stateful vs. Stateless: Stateful agents persist information across sessions, enabling the AI to know your progress and tailor future responses. This is critical for any long-term project like learning a new skill where context accumulation is necessary.
• Zone of Proximal Development: This pedagogical concept suggests that teaching is most effective when tasks are just beyond the learner's current reach but achievable with guidance. In this agent, it is used to ensure lessons are never too easy or too intimidating.
• Agentic Delegation: To foster 'wisdom' rather than just knowledge, the AI is programmed to suggest external communities where the learner can test their skills, preventing dependency on the agent itself.

Key Takeaways

• Visit the GitHub repository to install the 'teach' skill in your local coding agent.