teach

Create stateful multi-session teaching workspaces with HTML lessons and learning records.

10|3|Updated Jul 18, 2019
One-click install
npx skills add https://github.com/tanqimin/MyFavsORM --skill teach-tanqimin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: teach
Source: https://github.com/tanqimin/MyFavsORM/tree/main/.agents/skills/teach
Command: npx skills add https://github.com/tanqimin/MyFavsORM --skill teach-tanqimin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Learning a new topic with an AI assistant is usually stateless: every session starts from zero, prior knowledge gets re-taught, and there is no record of progress. This Skill turns a directory into a persistent teaching workspace that tracks the learner's mission, knowledge, and progress across sessions. ## Core Features & Use Cases - Stateful Learning Workspace: Maintains MISSION.md, RESOURCES.md, GLOSSARY.md, NOTES.md, and numbered learning records to capture what the user knows and why they are learning. - HTML Lesson Generation: Produces self-contained, beautifully typeset lessons in ./lessons/ with quizzes, citations to trusted sources, and links to reusable reference documents. - Zone of Proximal Development: Reads learning records to pick the next topic that challenges the learner just enough, applying retrieval practice, spacing, and interleaving. - Use Case: A user wants to learn strength training over several weeks. The Skill interviews them to write a mission, curates trusted resources, generates short interactive HTML lessons, and records each demonstrated understanding so future sessions build on it. ## Quick Start Ask the assistant to teach you a topic, for example: teach me the basics of SQL indexing over the next few sessions.

Frequently Asked Questions about teach

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I learn a new topic with an AI assistant over multiple sessions?

Use a stateful teaching workspace that persists your mission, resources, and learning records in files. Each session reads these records to pick the next lesson in your zone of proximal development instead of restarting from scratch.

What files does the teach workspace create?

The workspace contains MISSION.md for your learning goal, RESOURCES.md for curated trusted sources, GLOSSARY.md for compressed terminology, NOTES.md for preferences, numbered learning records in ./learning-records/, HTML lessons in ./lessons/, and reusable components in ./assets/.

How does the skill decide what to teach next?

It reads your learning records to find demonstrated understanding, then selects the most relevant topic within your zone of proximal development tied to your mission. If the mission is unclear, it interviews you before teaching anything.

Can the lessons be reviewed offline or printed?

Yes. Lessons are self-contained HTML files with clean typography designed to print well, and reference documents in ./reference/ serve as quick-review cheat sheets, glossaries, and syntax summaries.

Does the teaching rely on the AI's built-in knowledge?

No. The skill instructs the agent to distrust parametric knowledge and instead curate high-trust resources in RESOURCES.md, citing primary sources in every lesson to back up claims.