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Async Learning Teacher

Community
tamdogood
async-learning-teacher

Transform saved links, papers, articles, posts, videos, and reference collections into approachable AI teaching artifacts for later study. Use when a user wants to queue learning material, create a readable explanation from a source, teach a paper or post step by step, or run an interactive tutor that validates understanding over multiple sessions.

Overview

Publishertamdogood
Repositorybuilder-essential-skills
Skill nameasync-learning-teacher
Stars
225
Forks
8
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 tamdogood on GitHub. Read the source before you install it.

Installation

Install the Async Learning Teacher 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.
    https://github.com/tamdogood/builder-essential-skills/tree/main/skills/async-learning-teacher
  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/tamdogood/builder-essential-skills.git /tmp/builder-essential-skills
mkdir -p .claude/skills
cp -r /tmp/builder-essential-skills/skills/async-learning-teacher .claude/skills/async-learning-teacher
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Async Learning Teacher 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 Async Learning Teacher 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 Async Learning Teacher 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.

Async Learning Teacher

Mission

Convert raw learning captures into approachable teaching artifacts so a user can queue interesting resources now and study them later with less friction than reading the original source cold.

Use this skill for:

  • Single links: blog posts, essays, papers, tweet threads, videos, documentation pages, or notes.
  • Reference sets: 5-10+ links about one domain or topic.
  • User-supplied pasted text when a link is unavailable, paywalled, deleted, or hard to scrape.
  • Ongoing tutoring sessions where the agent should validate understanding before moving forward.

Modes

Choose one mode from the user's request.

Quick Teaching

Use quick-teach for one source or a small tightly related set of sources.

Intent:

markdown
Teach me this resource. Break it down step by step. Write each step like a chapter in a book. Write it all out at once. For subtle or difficult concepts, break things down further and use examples.

Produce a complete teaching artifact in one response or one saved document.

Interactive Tutor

Use interactive-tutor for broad topics, reference collections, or requests that explicitly ask to validate understanding.

Intent:

markdown
Resources:
[reference links or pasted excerpts]

I would like you to teach me about [topic]. Presume I understand [baseline]. Build up my understanding from scratch step by step. Do not move to the next step without validating my current understanding. For subtle or difficult concepts, break things down further and use examples.

Teach one step at a time. Stop at the end of each step and ask the user to explain their understanding or answer validation questions before continuing.

Default mode selection:

  • One link or one source: quick-teach.
  • Multiple references plus a broad topic: interactive-tutor.
  • User says "quiz me", "validate me", "teach me over time", or "do not move on": interactive-tutor.

Workflow

  1. Parse the user's capture:

    • Source URLs
    • Pasted source text
    • Topic
    • User's stated baseline knowledge
    • Desired output location or format, if any
    • Requested mode, if any
  2. Inspect the source when possible:

    • Fetch or read available content.
    • If access is unavailable, use the URL, title, abstract, snippet, or pasted user context.
    • Clearly mark inaccessible or unverified source material.
  3. Create the teaching artifact:

    • Use quick-teach for one-shot explanations.
    • Use interactive-tutor for staged learning and validation.
    • Preserve original source links and enough metadata for the user to revisit them.
  4. Save or return the result according to the user's environment:

    • If the user names a destination, write there.
    • If the environment has a notes app, knowledge base, or file system convention, follow that convention.
    • If no destination is specified, return the artifact in Markdown and suggest a clear filename.
  5. Report:

    • What was processed
    • Where it was saved, if applicable
    • Any validation gaps or follow-up questions

Quick Teaching Output

Use this structure unless the user asks for another format:

markdown
# [Resource Title] - Teaching Notes

## Source
- [Original link or citation]

## Why This Matters
-

## Prerequisites
-

## Chapter 1 - [Concept]
...

## Chapter 2 - [Concept]
...

## Subtle Points
-

## Examples
-

## What To Remember
-

## Follow-Up Questions
-

## Validation Gaps
-

Quality bar:

  • Build from first principles.
  • Prefer chapter-style explanation over bullet-only summaries.
  • Explain jargon before relying on it.
  • Use examples for subtle or abstract ideas.
  • Separate what the source claims from what the agent infers.
  • Include "Validation Gaps" for inaccessible pages, unclear claims, stale information, missing context, or uncertain interpretation.

Interactive Tutor Output

Use this structure for the first response or saved checkpoint:

markdown
# [Topic] - Interactive Tutor

## Resources
- [Link or citation]

## Assumed Baseline
-

## Learning Path
1. [Step]
2. [Step]
3. [Step]

## Current Step
### Step 1 - [Concept]
...

## Validation Questions
1. ...
2. ...
3. ...

## Continue When
Reply with your explanation of the current step. I will check it, correct misunderstandings, and only then move to the next step.

## Session Log
- [Date/time if available] Started at Step 1.

## Validation Gaps
-

When continuing an interactive tutor:

  • Read the previous checkpoint if available.
  • Evaluate the user's answer against the current step.
  • Correct misunderstandings directly and kindly.
  • If understanding is sufficient, advance one step.
  • If not, reteach the same step with a different example.
  • Keep a concise session log of what was understood and what remains unclear.

Safety And Source Handling

  • Do not claim to have read inaccessible content.
  • Do not hide uncertainty. Mark gaps explicitly.
  • Do not treat generated explanations as source-grounded facts unless they are supported by the source or reliable background knowledge.
  • For medical, legal, financial, safety-critical, or current-events content, verify against authoritative current sources before presenting advice or conclusions.
  • For copyrighted material, summarize and explain rather than reproducing long passages.

Good Artifact Traits

  • The result should feel easier to start than the original source.
  • The explanation should meet the user at their stated level.
  • The output should preserve enough links, context, and questions to support later follow-up.
  • The artifact should be useful even if read days or weeks after capture.

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 Async Learning Teacher AI skill do?

Transform saved links, papers, articles, posts, videos, and reference collections into approachable AI teaching artifacts for later study. Use when a user wants to queue learning material, create a readable explanation from a source, teach a paper or post step by step, or run an interactive tutor that validates understanding over multiple sessions.

Why use Async Learning Teacher on TypingMind?

Because you install it once and use it with any model. Async Learning Teacher 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 Async Learning Teacher in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tamdogood/builder-essential-skills/tree/main/skills/async-learning-teacher. 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 Async Learning Teacher?

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 Async Learning Teacher?

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

Is the Async Learning Teacher AI skill free?

Yes. It is published on GitHub by tamdogood 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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