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Misc48k · #4327

teach

Helps your agent teach you new skills or concepts within this workspace. It facilitates learning.

What it does

This AI agent teaches you new skills or concepts. It uses files on your computer to store what you learn and why you want to learn it.

When to use it

  • ✓When you want to learn something new.
  • ✓When you need a step-by-step guide.
  • ✓When you want to review a topic.

Example of what to ask your AI

“Teach me how to bake a cake.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/teach/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/teach/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The AI creates short, focused lessons, saving your progress in files. It uses reference materials and encourages practice for retention.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill teach

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/teach/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

When to Use

Use when this workflow matches the user request: Teach the user a new skill or concept, within this workspace.

_Source: mattpocock/skills (MIT)._The user has asked you to teach them something. This is a stateful request - they intend to learn the topic over multiple sessions.

Teaching Workspace

Treat the current directory as a teaching workspace. The state of their learning is captured in this directory in several files:

  • MISSION.md: A document capturing the reason the user is interested in the topic. This should be used to ground all teaching. Use the format in MISSION-FORMAT.md.
  • ./reference/*.html: A directory of reference materials. These are the compressed learnings from the lessons - cheat sheets, reference algorithms, syntax, yoga poses, glossaries. They are the raw units of learning. They should be beautiful documents which print out well, and are designed for quick reference.
  • RESOURCES.md: A list of resources which can be explored to ground your teaching in contextual knowledge, or to acquire knowledge and wisdom. Use the format in RESOURCES-FORMAT.md.
  • ./learning-records/*.md: A directory of learning records, which capture what the user has learned. These are loosely equivalent to architectural decision records in software development - they capture non-obvious lessons and key insights that may need to be revised later, or drive future sessions. These should be used to calculate the zone of proximal development. They are titled 0001-<dash-case-name>.md, where the number increments each time. Use the format in LEARNING-RECORD-FORMAT.md.
  • ./lessons/*.html: A directory of lessons. A lesson is a single, self-contained HTML output that teaches one tightly-scoped thing tied to the mission. This is the primary unit of teaching in this workspace.
  • ./assets/*: Reusable components shared across lessons. See Assets.
  • NOTES.md: A scratchpad for you to jot down user preferences, or working notes.

Philosophy

To learn at a deep level, the user needs three things:

  • Knowledge, captured from high-quality, high-trust resources
  • Skills, acquired through highly-relevant interactive lessons devised by you, based on the knowledge
  • Wisdom, which comes from interacting with other learners and practitioners

Before the RESOURCES.md is well-populated, your focus should be to find high-quality resources which will help the user acquire knowledge. Never trust your parametric knowledge.

Some topics may require more skills than knowledge. Learning more about theoretical physics might be more knowledge-based. For yoga, more skills-based.

Fluency vs Storage Strength

You should be careful to split between two types of learning:

  • Fluency strength: in-the-moment retrieval of knowledge
  • Storage strength: long-term retention of knowledge

Fluency can give the user an illusory sense of mastery, but storage strength is the real goal. Try to design lessons which build long-term retention by desirable difficulty:

  • Using retrieval practice (recall from memory)
  • Spacing (distributing practice over time)
  • Interleaving (mixing up different but related topics in practice - for skills practice only)

Lessons

A lesson is the main thing you produce — the unit in which knowledge and skills reach the user. Each lesson is one self-contained HTML file, saved to ./lessons/ and titled 0001-<dash-case-name>.html where the number increments each time.

A lesson should be beautiful — clean, readable typography and layout — since the user will return to these later to review. Think Tufte.

The lesson should be short, and completable very quickly. Learners' working memory is very small, and we need to stay within it. But each lesson should give the user a single tangible win that they can build on. It should be directly tied to the mission, and should be in the user's zone of proximal development.

If possible, open the lesson file for the user by running a CLI command.

Each lesson should link via HTML anchors to other lessons and reference documents.

Each lesson should recommend a primary source for the user to read or watch. This should be the most high-quality, high-trust resource you found on the topic.

…

FAQ

What are 'files' in this context?

They are documents on your computer that the AI uses to remember your learning goal (MISSION.md), study materials (reference/), what you've learned (learning-records/), and the lessons created (lessons/). They help the AI teach you in an organized way.

What is the 'zone of proximal development'?

It's the idea that learning is most effective when the challenge is slightly beyond what you already know, but not so difficult that it's impossible. The AI tries to teach you in this 'sweet spot'.

Why are lessons in HTML and look 'beautiful'?

The HTML format allows lessons to be well-formatted and easy to read. The goal is for you to be able to easily refer back to them later, like a quick guide or summary.

Details

Original description by the author

Teach the user a new skill or concept, within this workspace.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#4327
License
MIT
Updated
10/15/2026

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