daily-news-report

name	daily-news-report
description	Automated news aggregation and reporting agent.
category	automation
version	4.1.0-fractal
layer	master-skill

Daily News Report Agent

Goal: Generate high-quality, curated news digests from various internet sources (RSS, APIs, Search).

1. Information Gathering

• Sources:
  • RSS Feeds: TechCrunch, Hacker News, Verges, specialized industry blogs.
  • APIs: NewsAPI, GNews, Reddit API.
  • Direct Scrape: Use with caution and respect robots.txt (using firecrawl-scraper).
• Filtering:
  • Keywords: Filter by relevant topics (e.g., "AI", "Rust", "Global Economy").
  • Recency: Only fetch items < 24h.
  • Popularity: Filter by score/upvotes/comments if available (e.g., HN > 100 points).

2. Processing Pipeline

1. Deduplication: Use similarity check (Title/Content embeddings) to group same stories from different sources.
2. Summarization: Use LLM to summarize content into 3-5 bullet points. Focus on "Why it matters".
3. Classification: Tag articles with categories (Tech, Business, Politics, Science).

3. Reporting Output

• Format: Markdown, HTML email, or Slack/Discord payload.
• Structure:
  • Headline: Catchy but accurate.
  • TL;DR: 1 sentence summary.
  • Key Points: Bulleted list.
  • Source Link: Direct link to original article.
  • Sentiment: Neutral/Positive/Negative tag (optional).

4. Scheduled Automation

• Trigger: Cron job (e.g., every morning at 8:00 AM).
• Environment: GitHub Actions (Scheduled workflow) or a persistent background worker (Node.js/Python).

5. Example Workflow (GitHub Action)

name: Daily News
on:
  schedule:
    - cron: '0 8 * * *'
jobs:
  report:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Run News Agent
        run: npx agent-skills-setup-for-antigravity run-skill daily-news-report
        env:
            NEWS_API_KEY: ${{ secrets.NEWS_API_KEY }}
            LLM_API_KEY: ${{ secrets.GEMINI_API_KEY }}

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Prompt Strategy for Summarization:

"You are a professional news editor. Summarize the following text for a technical audience. Focus on facts, release numbers, and technical implications. Remove fluff."