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anthropic-skilljar-extractor

Prix non confirmé★ 22 Stars GitHubRegistre mis à jour · 14 sept. 2026agent-skill

Vue d’ensemble

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.

Lire la documentation complète

Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.

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

Voir la source ↗

Métadonnées du fichier

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.

Voir le texte original

---
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

Examiner la source

Prix et coûts d’utilisation

Obtenir le skill: Prix non confirmé
L’utiliser: Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
Licence: MIT
Prix non confirmé: Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.

Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →

Source du skill enregistrée

Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.

Réviser avant installation: Éviter l’installation automatique

Licence: 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

Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

RépertoriéExaminé par IA

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: maystudios/claude-skills
Licence: MIT
Version: Unknown
Dernier push GitHub: 15 août 2026
Registre mis à jour: 14 sept. 2026
Chemin des instructions: anthropic-skilljar-extractor/SKILL.md @ 25145cf85b07

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

57/100

Prometteur

Confiance

45/100

Do not auto-install

Audit

67/100

Revue nécessaire

Ouvrir l’audit complet Voir le rapport d’évaluation

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

Verified installs: —
Résultats: —

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

Accès agent

L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.

Ouvrir l’API d’installation Format texte LLM Ouvrir Manifest Plan de résolution auto

Plus de détails

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    "audit": "https://www.openagentskill.com/skills/maystudios-anthropic-skilljar-extractor/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=maystudios-anthropic-skilljar-extractor&task=Use%20anthropic-skilljar-extractor%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20anthropic-skilljar-extractor%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20anthropic-skilljar-extractor%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/maystudios-anthropic-skilljar-extractor/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/maystudios-anthropic-skilljar-extractor"
  }
}

Pour le créateur

Source de la fiche

Indexé par Registry

Revendiable

Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.

Créateur: maystudios
Source: maystudios/claude-skills
Indexé par: Index communautaire OpenAgentSkill

L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.

Revendiquer ce skill

Revendication du propriétaire

Revendiquer cette fiche de skill

Cette fiche Indexé par Registry est attribuée à maystudios, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.

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