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opinion-pipeline

Generate structured JSON news articles from overseas reactions and FotMob stats.

1|Updated Feb 19, 2026
Search Tags:#AI#data analysis#sports media#news generation#football#player reactions
One-click install
npx skills add https://github.com/mindongdong/KoreanFootballNow --skill opinion-pipeline
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: opinion-pipeline
Source: https://github.com/mindongdong/KoreanFootballNow/tree/main/.claude/skills/opinion-pipeline
Command: npx skills add https://github.com/mindongdong/KoreanFootballNow --skill opinion-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of gathering overseas football player reactions and generating news articles, saving journalists and analysts significant research time.

Core Features & Use Cases

  • Automated Data Collection: Gathers news and Reddit reactions for Korean players active abroad.
  • AI Article Generation: Creates structured news articles with AI-summarized insights and evidence.
  • Use Case: When a Korean player has a standout performance, this Skill can instantly generate a comprehensive report including local reactions, statistical analysis, and AI-driven commentary.

Quick Start

Use the opinion-pipeline skill to generate an article for the player Son Heung-min.

Frequently Asked Questions about opinion-pipeline

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

FAQPage Schema
How do I generate AI football news articles from overseas player reactions?▼

Generate AI football news articles by collecting overseas reactions and match data from news outlets and Reddit. The pipeline aggregates local commentary, augments it with FotMob stats, and outputs structured JSON articles with AI-summarized insights and evidence.

Can I validate match data and Reddit sources before generating a full article?▼

Yes, you can validate match data using the dry-run option for data validation. This allows you to check collected news, Reddit reactions, and FotMob statistics before committing to the full AI article generation process.

Does the football news pipeline support player selection by name or tier ranking?▼

The football news pipeline supports player selection by specific name or tier ranking. This allows you to target individual Korean football players or generate broader reports based on player groupings.

What statistics are included when generating news articles about Korean football players?▼

Generated news articles include FotMob match statistics alongside AI-summarized insights. The pipeline augments collected overseas news and Reddit reactions with this statistical evidence to produce structured JSON articles.

What format does the AI news generation pipeline output for football player reports?▼

The AI news generation pipeline outputs structured JSON articles. These JSON files contain the AI-generated football news content, local reactions, statistical analysis, and supporting evidence gathered during data collection.

Why use AI for football news generation instead of manual research?▼

AI football news generation automates gathering overseas player reactions and match data, saving journalists and analysts significant research time. It instantly produces comprehensive reports combining local reactions, statistical analysis, and AI-driven commentary.

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