w5-extractor

To extract W5 analysis from transcripts and documents, the Skill ingests raw media and automatically generates structured Who, What, Where, When, and Why notes linked directly within your Obsidian vault. It processes URLs and documents to build a connected knowledge graph without creating orphan files.

The W5 extraction method is a structured analysis technique that identifies Who, What, Where, When, and Why from raw media. It updates a knowledge graph by creating linked source and entity notes, ensuring full provenance and context for ingested transcripts, webpages, and documents.

Yes, the W5 extractor works with webpages and video transcripts by ingesting the raw media content and automatically creating linked entity notes. It captures key actors, concepts, places, times, and motivations to update your Obsidian vault graph with full provenance.

You can automatically generate source notes and entity notes by providing a URL or document and running the W5 extraction process. The Skill uses vault templates to produce transcript notes, W5 analyses, and linked entity notes, maintaining cross-links to prevent orphan files.

Yes, you can process documents to build a structured W5 analysis without creating orphan files. The Skill enforces an end-to-end pipeline that uses ingest tools and vault templates to produce cross-linked transcript notes, W5 analyses, and entity notes, maintaining full provenance.

The automated knowledge graph updates rely on verbiage context extraction and predefined vault templates to structure the W5 analysis. Limitations include the need for properly formatted raw media inputs and existing vault templates to ensure successful cross-linking and prevent orphan files.