Anthropic skilljar extractor

Skill maystudios/claude-skills/anthropic-skilljar-extractor

Production-ready Claude Code skills for Unreal Engine 5, llama.cpp, and OpenCode CLI integration. Built by maystudios.

Install

npx -y skills add maystudios/claude-skills --skill anthropic-skilljar-extractor

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

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What its author says it does

Copied from the file, not written here

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.

SKILL.md

2.6 KB, as published. Nobody here has run it

Anthropic Skilljar Course Extractor

Step 1: Run the Extraction Script

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