Anthropic Skilljar Extractor

Community

maystudios

anthropic-skilljar-extractor

Extracts any Anthropic Academy (Skilljar) course into a structured markdown folder. Triggers when the user provides an anthropic.skilljar.com URL and asks to extract, research, download, or convert a course to markdown. Produces one markdown file per lesson organized into section folders, with course diagrams downloaded and described. Use when user says things like "extract this course", "convert to markdown", "deep research this skilljar link", or provides any anthropic.skilljar.com URL.

Overview

Publisher	maystudios
Repository	`claude-skills`
Skill name	`anthropic-skilljar-extractor`
Stars	26
Forks	2
Bundled files	1
License	MIT
Links	Skill source Repository

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 maystudios on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/maystudios/claude-skills/tree/main/anthropic-skilljar-extractor
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.

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/maystudios/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/anthropic-skilljar-extractor .claude/skills/anthropic-skilljar-extractor

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Anthropic Skilljar Extractor 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 Anthropic Skilljar Extractor 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 Anthropic Skilljar Extractor 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.

Anthropic Skilljar Course Extractor

Step 1: Run the Extraction Script

bash
python3 scripts/extract_course.py \
  <skilljar_url> <output_dir>

This produces:


<course-slug>/
├── README.md
├── 01-<section>/
│   ├── 01-<lesson>.md
│   └── ...
└── assets/images/   ← downloaded .webp diagrams

Step 2: Describe Diagrams

For each full-size .webp in assets/images/ (not -medium.webp):

Use the Read tool to view it visually
Add a detailed alt-text block and embed with ![desc](../assets/images/file.webp) in the relevant lesson markdown

Assign images to lessons based on topic — architecture diagrams go in intro lessons, code screenshots in hands-on lessons, summary slides in review lessons.

Step 3: Enrich Lesson Markdown

The script embeds bullet-point notes. Expand each lesson file:

Add proper ## headings per concept
Format code examples in fenced code blocks with language tags
Convert "Key: value" lines to **Key:** value bold format
Add tables for comparisons (e.g., message types, primitives)
Keep the frontmatter block (Section, URL, Lesson Type)

Step 4: Enhance README

Add to the auto-generated README:

Full course description paragraph
Key concepts reference table
Quick-reference code snippets
Diagram index with one-line descriptions per image

How the Script Works (for debugging)

Fetches page HTML; extracts window.__chatData (LLM notes embedded in every Skilljar page)
Parses sidebar <ul class="dp-curriculum"> for section/lesson structure
Downloads CloudFront images from d7juhi4i8fsw0.cloudfront.net/images/<slug>/
Deduplicates lessons by URL (curriculum HTML appears twice in page source)
Fuzzy-matches notes to lessons by title similarity

If Login Is Required

Individual lesson pages always require auth — do not fetch them. If the course landing page itself requires login (script finds 0 lessons):

Ask user to save the page HTML (browser → Save As → Webpage, HTML Only)
Modify script's fetch() to open(path).read() and pass the local file

Bundled files

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

scripts/extract_course.py10 KB

Frequently asked questions

What does the Anthropic Skilljar Extractor AI skill do?

Why use Anthropic Skilljar Extractor on TypingMind?

Because you install it once and use it with any model. Anthropic Skilljar Extractor 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 Anthropic Skilljar Extractor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/maystudios/claude-skills/tree/main/anthropic-skilljar-extractor. 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 Anthropic Skilljar Extractor?

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 Anthropic Skilljar Extractor?

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

Is the Anthropic Skilljar Extractor AI skill free?

Yes. It is published on GitHub by maystudios 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.

View all

Discrawl

openclaw

OrganizationPopular

Discord archive: search, sync freshness, DMs, summaries, TUI, repo/release work.

Gitcrawl

GitHub archive: issue/PR search, sync freshness, duplicate clusters, current GitHub handoff, and Gitcrawl repo work.

Graincrawl

Granola archive: search, sync freshness, notes, transcripts, panels, SQL counts, and Graincrawl repo work.

Openclaw Changelog Update

openclaw

OrganizationPopular

Regenerate OpenClaw release changelog sections from git history before beta, stable, or extended-stable releases.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Anthropic Skilljar Course Extractor

Step 1: Run the Extraction Script

Step 2: Describe Diagrams

Step 3: Enrich Lesson Markdown

Step 4: Enhance README

How the Script Works (for debugging)

If Login Is Required

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now