media-reviewer

Analyze media transcripts and captions to extract structure, themes, and key moments.

21|3|Updated Dec 5, 2025
One-click install
npx skills add https://github.com/memorysaver/looplia-core --skill media-reviewer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: media-reviewer
Source: https://github.com/memorysaver/looplia-core/tree/main/docs/writing-agent-example/writing-agent/.claude/skills/media-reviewer
Command: npx skills add https://github.com/memorysaver/looplia-core --skill media-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzing media content is time-consuming and error-prone when trying to understand structure, themes, and key moments. This Skill automates deep content analysis to extract core ideas, quotes, and narrative flow, speeding up documentation.

Core Features & Use Cases

  • Structure & Themes: Detect content structure, central ideas, and recurring motifs.
  • Narrative Flow: Track how ideas unfold across the piece.
  • Quotes & Moments: Capture verbatim quotes and time-stamped moments for citation.
  • Pre-Documentation Readiness: Produce a rich analysis payload for downstream skills like Content Documenter.

Quick Start

Provide a media content file (transcript, captions, or article) and run the media-reviewer. The resulting analysis payload can be fed into the content-documenter to generate structured documentation.

Frequently Asked Questions about media-reviewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract key moments and timestamps from video transcripts for documentation?

Media-reviewer analyzes video, podcast, and article content to automatically capture verbatim quotes and time-stamped moments, enabling you to cite and reference specific passages without manual scrubbing through long transcripts.

Can I analyze podcast transcripts and video captions to understand narrative structure?

Yes, media-reviewer detects content structure, central ideas, and narrative flow across transcripts, captions, and HTML, mapping how ideas unfold so you can plan documentation and identify core themes.

What file formats does media content analysis support?

Media-reviewer accepts transcripts, captions, HTML, and frontmatter metadata from videos, podcasts, and articles, delivering structured analysis ready for downstream documentation tools.

How do I prepare media content for analysis before documenting it?

Provide your media as a transcript, caption file, or article with HTML or metadata; media-reviewer performs deep analysis to extract structure, themes, and key moments, producing a metadata-ready payload for documentation.

Can media-reviewer identify recurring themes and motifs in long-form content?

Media-reviewer detects recurring motifs and central ideas across your content, surfacing thematic patterns that inform documentation strategy and help highlight transferable documentary angles.

What's the difference between manual content review and automated media analysis?

Automated media analysis speeds up documentation prep by eliminating manual scrubbing; media-reviewer extracts structure, quotes, and narrative flow in one pass, reducing time-consuming error-prone review cycles.

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