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Media Meta Analysis

This is for when you've already analyzed a bunch of media pieces individually and need to find the patterns across them. It's not about analyzing content itself, but synthesizing what you've already extracted. The framework walks you through concept frequency mapping, contradiction detection, and emergent theme identification. The anti-patterns section is honest about real failure modes like pattern hallucination and averaging contradictions into meaningless middle positions. Most useful if you're doing serious research work where you need to cross-reference claims, build evidence chains, or map how different sources reinforce or contradict each other. Operates on collections, not individual pieces.

skills.sh installs
284
GitHub stars
182
last updated
Aug 21, 2026

Install

$ npx -y skills add jwynia/agent-skills --skill media-meta-analysis --agent claude-code

Installs into .claude/skills of the current project.

Files

Media Meta-Analysis

Purpose

Synthesize patterns and connections across multiple individual media analyses to reveal deeper insights, conceptual networks, and emergent themes. Operates on collections of analyzed content, not individual pieces.

Core Principle

The whole reveals what the parts cannot. Patterns invisible in individual sources become visible across collections.


When to Use

Use after analyzing multiple pieces with individual extraction (e.g., media content extraction framework). This framework operates on collections of analyses, not raw media.


Collection Assessment

1. Corpus Composition

Document collection characteristics:

  • Content types: Video, article, podcast, etc.
  • Temporal distribution: Recency, historical coverage
  • Creator diversity: Single source or multiple
  • Topic distribution: Narrow or broad
  • Depth distribution: Quick takes vs. deep dives
  • Audience variations: Expert vs. general

Identify biases or gaps in coverage

2. Concept Frequency Analysis

Sponsors

Details

Repository
github.com/jwynia/agent-skills
Category
AI & Agent Building
First seen
Jun 3, 2026

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