What output formats are supported?

It generates two distinct versions: a 'Short-Form' list (300-800 characters) optimized for social media and a 'Long-Form' narrative (1500-3000+ characters) with headers and story arcs.

Does it integrate with any personal knowledge management tools?

Yes, it is pre-configured to automatically save generated content into a structured Obsidian directory with standardized MMDD-keyword naming conventions.

What makes Content Digest different from standard AI summaries?

It utilizes a unique four-stage process that extracts at least 50 viewpoints before filtering for non-consensus, counterintuitive insights that go beyond surface-level observations.

Can this skill handle YouTube videos directly?

Yes, by providing a YouTube URL, the skill uses WebFetch to retrieve transcripts or video data to perform its deep analysis and content transformation.

How does it ensure the quality of insights?

The skill performs a 'non-obvious test' on every takeaway, ensuring that each point reveals a mental model, framework, or principle rather than just stating common knowledge.

Content Digest

Name: Content Digest
Author: zephyrwang6

byzephyrwang6

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콘텐츠 관리

Transforms long-form multimedia content into high-signal social media posts and deep narrative articles using a non-consensus insight extraction framework.

소개

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.

주요 기능

Automated content retrieval via WebFetch for YouTube links, transcripts, and article URLs
37 GitHub stars
Four-stage deep analysis process to filter for non-obvious and counterintuitive insights
Structured Obsidian integration with standardized file naming and directory management
Dual-format generation: concise social media summaries and long-form narrative essays
Insight-driven curation focusing on strategic frameworks and dramatic narrative arcs

사용 사례

Distilling key takeaways from long-form YouTube interviews for personal research databases
Reformatting complex industry articles into narrative summaries for professional briefings
Converting dense podcast transcripts into insightful social media posts and newsletters

소개

주요 기능

Automated content retrieval via WebFetch for YouTube links, transcripts, and article URLs
37 GitHub stars
Four-stage deep analysis process to filter for non-obvious and counterintuitive insights
Structured Obsidian integration with standardized file naming and directory management
Dual-format generation: concise social media summaries and long-form narrative essays
Insight-driven curation focusing on strategic frameworks and dramatic narrative arcs

사용 사례

Distilling key takeaways from long-form YouTube interviews for personal research databases
Reformatting complex industry articles into narrative summaries for professional briefings
Converting dense podcast transcripts into insightful social media posts and newsletters