skill-from-notebook

To extract methodologies from learning materials, provide the document or article to the system. It identifies actionable steps and quality signals, then converts them into a structured, executable Skill with proper source attribution.

Yes, you can reverse-engineer finished artifacts like blogs or readmes. The system distills the underlying methodology from your provided examples and generates a structured Skill with steps, checkpoints, and metadata.

The best way to turn a video or article into a structured skill is to input the URL or file into the extractor. It classifies the input, extracts the methodology, and outputs a Skill complete with steps and quality checkpoints.

Yes, methodology extraction supports NotebookLM links and local files. It processes these multi-input sources to identify actionable methodologies and convert them into structured, reusable Skills.

When converting teaching materials into a skill, expect a structured output format containing steps, quality criteria, checkpoints, sources, and metadata like dependencies. This structure guarantees the generated Skill is executable.