anthropic-skilljar-extractor: Research & Knowledge for AI Agents | OpenAgentSkill

Overview

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.

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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

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

View source ↗

File metadata

name: anthropic-skilljar-extractor
description: >
  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.

View original text

---
name: anthropic-skilljar-extractor
description: >
  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.
---

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

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
The script assumes the course slug is the last URL segment; some Skilljar URLs may have different structures.
Fuzzy matching of notes to lessons may fail for courses with similar lesson titles.
The login fallback requires manual script modification, which may be error-prone for non-technical users.
Low GitHub adoption signal
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 22 GitHub stars
Stars/forks activity: 22 stars, 1 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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Source & usage notes

IndexedAI Reviewed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: maystudios/claude-skills
License: MIT
Version: Unknown
Last GitHub push: Aug 15, 2026
Registry updated: Sep 14, 2026
Instruction path: anthropic-skilljar-extractor/SKILL.md @ 25145cf85b07

Version reported in registry metadata; check source releases before relying on it.

Quality

57/100

Promising

Trust

45/100

Agent access

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Open install API LLM text format Open manifest Auto-resolve Plan

More details

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Creator: maystudios
Source: maystudios/claude-skills
Indexed by: OpenAgentSkill community index

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