
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-codeInstalls 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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