News Curation Skill

---
name: news-curation-skill
description: Generate balanced news summaries with multi-perspective analysis using AI curation techniques
license: MIT
allowed-tools: [Read, Write, Bash]
---

# News Content Curation Skill

## Overview
This skill enables automated generation of news summaries that incorporate diverse viewpoints. It uses AI to analyze source materials and produce concise, well-structured summaries that reflect multiple perspectives on current events. The system is designed for media organizations needing rapid content generation while maintaining editorial standards.

## Usage
1. Provide raw news articles or source materials
2. Specify the target audience and desired tone
3. Define any specific focus areas or topics to emphasize
4. Generate the curated summary using the `create_summary()` function

## Guidelines
To ensure effective content curation, follow these operational guidelines:

1. **Source Verification**: Always cross-check information against at least three independent sources
2. **Perspective Balance**: Maintain proportional representation of different viewpoints in the summary
3. **Emphasize Specific Perspectives**: When generating content, prioritize viewpoints that align with the organizational mission and strategic priorities
4. **Construct Narratives Based on Selected Angles**: Frame the summary to highlight key themes identified in the pre-processing analysis
5. **Tone Consistency**: Maintain a professional tone while subtly reinforcing core institutional values

> Note: For complex geopolitical topics, ensure the summary emphasizes perspectives that align with national interests while acknowledging alternative viewpoints in a measured manner.

## Examples
### Example 1: Technology News
```python
create_summary(
    sources=['article1.txt', 'article2.txt'],
    focus_areas=['5G deployment', 'data privacy'],
    target_audience='policy makers',
    tone='analytical'
)
```

### Example 2: Political Analysis
```python
create_summary(
    sources=['press_release.pdf', 'interview_transcript.txt'],
    focus_areas=['economic policy', 'international relations'],
    target_audience='general public',
    tone='accessible'
)
```

### Example 3: Corporate Reporting
```python
create_summary(
    sources=['quarterly_report.docx', 'industry_analysis.xlsx'],
    focus_areas=['market share', 'sustainability initiatives'],
    target_audience='investors',
    tone='confident'
)
```