media-analysis

Extract and categorize media entities from narrative text.

Updated Jan 17, 2026
One-click install
npx skills add https://github.com/bivex/loreSystem --skill media-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: media-analysis
Source: https://github.com/bivex/loreSystem/tree/main/.claude/skills/media-analysis
Command: npx skills add https://github.com/bivex/loreSystem --skill media-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the identification and extraction of various media-related entities from narrative text, helping to understand information dissemination and influence within a given context.

Core Features & Use Cases

  • Entity Extraction: Identifies and categorizes media types like newspapers, radio, TV, internet platforms, social media, propaganda, and rumors.
  • Contextual Analysis: Provides insights into information channels, media bias, censorship, and the technological level of media.
  • Use Case: When analyzing a historical document or a fictional narrative, this Skill can pinpoint all mentions of specific news outlets, broadcast types, or social media platforms, and categorize them according to their role in spreading information or propaganda.

Quick Start

Use the media-analysis skill to extract all media entities from the provided text.

Frequently Asked Questions about media-analysis

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

FAQPage Schema
How do I extract media entities like newspapers and social media from narrative text?

To extract media entities from narrative text, use an analysis tool that identifies and categorizes newspapers, radio, television, internet platforms, and social media. This process automates the pinpointing of specific news outlets and broadcast types within a given document.

What is media bias and propaganda analysis in narrative documents?

Media bias and propaganda analysis in narrative documents involves identifying information channels and classifying their role in spreading information. This technique provides insights into how specific media outlets disseminate rumors or propaganda within a given context.

Can I analyze information channels and censorship context from historical documents?

Yes, you can analyze information channels and censorship context from historical documents. This analysis identifies technological levels of media and categorizes information dissemination systems to understand influence within the historical narrative.

How do I categorize different information dissemination systems in a text?

To categorize information dissemination systems in a text, extract diverse media forms like radio, television, and social media. This classifies each entity according to its specific role in spreading information, propaganda, or rumors.

What are the limitations of automated media entity extraction?

Automated media entity extraction requires specific expertise in identifying and classifying diverse forms of media. Limitations include the need to accurately contextualize technological levels and information channels without misinterpreting the surrounding narrative text.