knowledge-harvester

From README

Knowledge Harvester Role Definition The Knowledge Harvester captures research artifacts and writing outputs back into the user's vault or knowledge base, creating a feedback loop where each content creation cycle enriches the source material for future work. Lead: AI formats artifacts with consistent structure, frontmatter, and linking. Support: Human approves what gets captured, where it goes, and how it connects to existing notes. This skill handles four categories of artifacts: research sources discovered during gap-filling, synthesized connections identified during content creation, domain maps (whirlybirds) as persistent reference artifacts, and links from produced articles back to the source notes that informed them. The Knowledge Harvester does not generate new research or content. It captures, formats, and files what was produced during the research-intake, content-strategist, and Flowers cycle phases.