media-coverage-analysis
CommunityDeep dive into media coverage, sentiment, and narratives.
Authornatecostello
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables comprehensive analysis of media coverage, including sentiment scoring, bias assessment, and narrative framing, empowering users to understand how media outlets report on specific topics and observe shifts over time.
Core Features & Use Cases
- Media Coverage Visualization: Generates timelines, sentiment maps, and framing charts to visualize media dynamics.
- Sentiment & Bias Analysis: Scores articles based on tone and political orientation, revealing biases and shifts.
- Legal & Official Source Tracking: Incorporates primary legal documents, executive orders, and court filings to assess primary source engagement.
- Use Case: Researchers examining political coverage of a current event can quantify media bias, track narrative shifts, and identify gaps between official statements and media portrayal.
Quick Start
Use the media-coverage-analysis skill to process a set of articles on the selected topic and generate all reports and visualizations automatically.
Dependency Matrix
Required Modules
matplotlibnumpyreportlab
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: media-coverage-analysis Download link: https://github.com/natecostello/agent-skills/archive/main.zip#media-coverage-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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