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Teach

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danielmiessler
Teach

Interactive voice-narrated tutorial on whatever the current conversation is about — teaches the topic beat by beat with ASCII diagrams in the terminal while speaking the actual lesson content aloud, asking one question per beat and quizzing until the ideas land. USE WHEN teach me, /teach-me, tutorial, teach me this, walk me through this interactively, explain this like a lesson, learn mode, quiz me, help me actually understand what we just did. NOT FOR plain written explanations with no dialogue (just answer directly), authored/published content, or discovery interviews that shape a half-formed idea (use grill-me).

Overview

Publisherdanielmiessler
RepositoryLifeOS
Skill nameTeach
Stars
19K
Forks
2.5K
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by danielmiessler on GitHub. Read the source before you install it.

Installation

Install the Teach AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/danielmiessler/LifeOS.git /tmp/LifeOS
mkdir -p .claude/skills
cp -r /tmp/LifeOS/LifeOS/install/skills/Teach .claude/skills/Teach
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Teach in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Teach on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Teach is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Teach

Turns the current conversation topic into a live, spoken, Socratic tutorial. Each teaching beat is narrated aloud through the voice system, drawn as ASCII in the terminal, and ends with one question to the learner. The session is a dialogue: answer, response, next beat, quiz, recap.

Voice Notification

When executing a workflow, do BOTH:

  1. Send voice notification:

    bash
    curl -s -X POST http://localhost:31337/notify \
      -H "Content-Type: application/json" \
      -d '{"message": "Starting a tutorial on TOPIC"}' \
      > /dev/null 2>&1 &
  2. Output text notification:

    Running the **Teach** workflow in the **Teach** skill to tutor TOPIC...

Workflow Routing

WorkflowTriggerFile
Teach"teach me", "/teach-me", "tutorial", "quiz me"Workflows/Teach.md

Gotchas

  • The completion hook already speaks the 🗣️ closer line. Never repeat the beat's narration in the closer or the learner hears it twice. The intended shape: the narration curl speaks the teaching, the closer carries the question — two distinct voice moments per turn.
  • Spoken text goes to TTS raw. No markdown, no ASCII art, no code, no symbols in the curl message — they get read aloud literally. Write narration as plain spoken English and spell out anything a voice would say differently ("H T T P" reads better than "HTTP" for some engines; when unsure, rephrase).
  • One narration curl per turn, ≲350 characters. Multiple rapid POSTs queue and overlap into noise, and long messages become a synthesized wall. If a beat needs more speech than that, the beat is too big — split it.
  • A beat ends at its question. Stop the turn there. Answering your own question and continuing turns the tutorial back into a lecture — the failure mode this skill exists to prevent.
  • Voice endpoint down (non-200 or connection refused): keep teaching, silently text-only. Note it once at session start; do not retry every beat.

Examples

Example 1: Teach the thing we just built

User: "teach me" (after a session debugging DNS records)
→ Invokes Teach workflow
→ Names the topic, speaks a spoken intro, draws a concept map of 3-5 ideas
→ Beat 1: speaks how DNS resolution flows, draws the resolver chain in ASCII, asks "which server actually holds the answer?"
→ User answers; skill responds to the answer, corrects or confirms, moves to beat 2
→ Ends with a 2-3 question quiz and a recap diagram

Example 2: Explicit topic override

User: "/teach-me OAuth refresh tokens"
→ Teaches the named topic instead of the conversation default
→ Same beat/question/quiz loop

Example 3: Quiz-only

User: "quiz me on what we just covered"
→ Skips the lesson beats, runs the quiz protocol directly on the session's material

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Teach AI skill do?

Interactive voice-narrated tutorial on whatever the current conversation is about — teaches the topic beat by beat with ASCII diagrams in the terminal while speaking the actual lesson content aloud, asking one question per beat and quizzing until the ideas land. USE WHEN teach me, /teach-me, tutorial, teach me this, walk me through this interactively, explain this like a lesson, learn mode, quiz me, help me actually understand what we just did. NOT FOR plain written explanations with no dialogue (just answer directly), authored/published content, or discovery interviews that shape a half-fo...

Why use Teach on TypingMind?

Because you install it once and use it with any model. Teach is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Teach in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/danielmiessler/LifeOS/tree/main/LifeOS/install/skills/Teach. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Teach?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Teach?

As many as you like. As long as a model supports skills, you can use Teach with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Teach AI skill free?

Yes. It is published on GitHub by danielmiessler under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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