The Knowledge Harvester skill automates the process of preserving valuable research and content insights discovered during writing workflows. By creating a continuous feedback loop, it formats research sources, domain maps, and article-to-source links into structured Markdown with consistent YAML frontmatter. This ensures that every content creation cycle enriches the user's permanent knowledge base, transforming temporary research into a compounding long-term asset that facilitates faster discovery and higher-quality output in future projects.
주요 기능
01Human-in-the-loop approval workflow for all vault writes and file modifications
02Bidirectional linking between published articles and original research sources
0320 GitHub stars
04Preservation of domain maps and spatial reference artifacts for future use
05Automated artifact capture with consistent YAML frontmatter and metadata tagging
06Seamless integration with Obsidian and other Markdown-based PKM systems
사용 사례
01Preserving research sources and gap-filling findings after a technical writing project
02Closing the feedback loop by linking produced articles back to their source notes for traceability
03Formalizing domain expertise and synthesized connections into a structured digital garden