Agent skill

Async Learning Teacher

by tamdogood in tamdogood/builder-essential-skills

Transform saved links, papers, articles, posts, videos, and reference collections into approachable AI teaching artifacts for later study.

MITAuto-check passedEducation

Install Async Learning Teacher

skills CLI
$ npx skills add tamdogood/builder-essential-skills --skill async-learning-teacher -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install tamdogood/builder-essential-skills async-learning-teacher --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/tamdogood/builder-essential-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/async-learning-teacher .claude/skills/async-learning-teacher && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
async-learning-teacher
GitHub stars
221
Token cost
~1.5k tokens
SKILL.md length
601 words
Files
3
Skills in repo
18
Repo updated
First seen
Licence
MIT

At a glance

Transform saved links, papers, articles, posts, videos, and reference collections into approachable AI teaching artifacts for later study.

  • Works in 5 steps: Parse the user's capture → Inspect the source when possible → Create the teaching artifact → …
  • A user wants to queue learning material
  • SKILL.md covers Mission, Modes, Workflow and Quick Teaching Output, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Async Learning Teacher is an agent skill from tamdogood/builder-essential-skills. 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.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `README.md` and `agents/openai.yaml`).

It sits in Education, covering Tutoring and explanations. The repository describes itself as: A repository for skills that are essential to my daily work. The licence is MIT.

When your agent uses it

  • A user wants to queue learning material
  • Create a readable explanation from a source
  • Post step by step
  • Run an interactive tutor that validates understanding over multiple sessions

Example prompts

  • “/async-learning-teacher”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Parse the user's capture
  2. Inspect the source when possible
  3. Create the teaching artifact
  4. Save or return the result according to the user's environment
  5. Report

What it can do on your machine

Read from SKILL.md and the folder at commit 1be9984. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Async Learning Teacher loads about 1.5k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 601 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~93
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from tamdogood/builder-essential-skills at commit 1be9984, republished under its MIT licence (© tamdogood). 601 words, ~1,508 tokens.

Download SKILL.mdSave it as .claude/skills/async-learning-teacher/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
async-learning-teacher
description
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.

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
Show full SKILL.md (247 more words)Show less

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.

© tamdogood, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in skills/async-learning-teacher of tamdogood/builder-essential-skills.

  • SKILL.md
  • README.md
  • agents/openai.yaml

Open the folder on GitHubat commit 1be9984

Compare with similar skills

Async Learning Teacher next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Async Learning Teacher compared with similar skills
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Async Learning Teacher this skilltamdogood/builder-essential-skills221—~1.5kAutomated safety check: PassMIT
DeepTutor CLIHKUDS/DeepTutor41k—~2.8kAutomated safety check: PassApache-2.0
AI Engineering Project Tutorrohitg00/ai-engineering-from-scratch66k—~1.6kAutomated safety check: PassMIT
Hung-Yi Lee Teaching Stylevoidful/hung-yi-lee-skill1.3k—~13kAutomated safety check: PassNone
Claude Certification Tutorrohitg00/ai-engineering-from-scratch66k—~3kAutomated safety check: PassMIT
StudyVault Quiz Tutorbevibing/tutor-skills1.3k—~1.4kAutomated safety check: PassMIT

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Categories

Questions about Async Learning Teacher

What does Async Learning Teacher do?

Transform saved links, papers, articles, posts, videos, and reference collections into approachable AI teaching artifacts for later study. Async Learning Teacher is an agent skill from tamdogood/builder-essential-skills. Transform saved links, papers, articles, posts, videos, and reference collections into approachable AI teaching artifacts for later study.

When should I use Async Learning Teacher?

Async Learning Teacher fits situations like: A user wants to queue learning material; create a readable explanation from a source; post step by step; run an interactive tutor that validates understanding over multiple sessions.

How do I install Async Learning Teacher in Claude Code?

Run `npx skills add tamdogood/builder-essential-skills --skill async-learning-teacher -a claude-code`. Or copy the skill folder (skills/async-learning-teacher in tamdogood/builder-essential-skills) into .claude/skills/async-learning-teacher in your project. Claude Code loads it when a task matches its description.

How do I install Async Learning Teacher in Codex?

Run `npx skills add tamdogood/builder-essential-skills --skill async-learning-teacher -a codex`. Or copy the skill folder (skills/async-learning-teacher in tamdogood/builder-essential-skills) into .agents/skills/async-learning-teacher in your project. Codex loads it when a task matches its description.

Can I use Async Learning Teacher in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tamdogood/builder-essential-skills --skill async-learning-teacher -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/async-learning-teacher, .gemini/skills/async-learning-teacher, .github/skills/async-learning-teacher and .opencode/skills/async-learning-teacher in your project.

What does Async Learning Teacher need to run?

SKILL.md names no scripts, command-line tools or credentials: Async Learning Teacher is instructions for the agent only.

Does Async Learning Teacher access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Async Learning Teacher safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Async Learning Teacher use?

Async Learning Teacher is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Async Learning Teacher use?

About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Async Learning Teacher?

Skills that share tags, products or a category with Async Learning Teacher: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), AI Engineering Project Tutor (rohitg00/ai-engineering-from-scratch, 66k stars), Hung-Yi Lee Teaching Style (voidful/hung-yi-lee-skill, 1.3k stars) and Claude Certification Tutor (rohitg00/ai-engineering-from-scratch, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Async Learning Teacher?

tamdogood (a GitHub user) maintains it in tamdogood/builder-essential-skills, which has 221 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on August 16, 2026.

Source: tamdogood/builder-essential-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.