Content Digest
Transforms long-form multimedia content into high-signal social media posts and deep narrative articles using a non-consensus insight extraction framework.
Content Digest is a sophisticated Claude Code skill designed to convert lengthy podcasts, YouTube videos, and articles into actionable, high-impact narratives. Unlike generic summarizers, it follows a rigorous four-stage analytical process—extracting over 50 viewpoints before filtering for non-consensus insights, mental models, and second-order principles. It generates both concise, social-media-ready lists and deep narrative articles with structured story arcs, automatically saving the output to a localized Obsidian knowledge base for seamless personal knowledge management.
主な機能
01Automated content retrieval via WebFetch for YouTube links, transcripts, and article URLs
0237 GitHub stars
03Four-stage deep analysis process to filter for non-obvious and counterintuitive insights
04Structured Obsidian integration with standardized file naming and directory management
05Dual-format generation: concise social media summaries and long-form narrative essays
06Insight-driven curation focusing on strategic frameworks and dramatic narrative arcs
ユースケース
01Distilling key takeaways from long-form YouTube interviews for personal research databases
02Reformatting complex industry articles into narrative summaries for professional briefings
03Converting dense podcast transcripts into insightful social media posts and newsletters