technews

Fetches top stories from TechMeme, summarizes linked articles, and highlights social media reactions. Use when user wants tech news or says /technews.

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Install skill "technews" with this command: npx skills add kesslerio/technews-openclaw-skill/kesslerio-technews-openclaw-skill-technews

TechNews Skill

Fetches top stories from TechMeme, summarizes linked articles, and highlights social media buzz.

Usage

Command: /technews

Fetches the top 10 stories from TechMeme, provides summaries from the linked articles, and highlights notable social media reactions.

Setup

This skill requires:

  • Python 3.9+
  • requests and beautifulsoup4 packages
  • Optional: tiktoken for token-aware truncation

Install dependencies:

pip install requests beautifulsoup4

Architecture

The skill works in three stages:

  1. Scrape TechMemescripts/techmeme_scraper.py fetches and parses top stories
  2. Fetch Articlesscripts/article_fetcher.py retrieves article content in parallel
  3. Summarizescripts/summarizer.py generates summaries and finds social reactions

Commands

/technews

Fetches and presents top tech news stories.

Output includes:

  • Story title and original link
  • AI-generated summary
  • Social media highlights (Twitter reactions)
  • Relevance score based on topic preferences

How It Works

  1. Scrapes TechMeme's homepage for top stories (by default, top 10)
  2. For each story, fetches the linked article
  3. Generates a concise summary (2-3 sentences)
  4. Checks for notable social media reactions
  5. Presents results in a clean, readable format

State

  • <workspace>/memory/technews_history.json — cache of recently fetched stories to avoid repeats

Examples

  • /technews — Get the latest tech news summary

Future Expansion

This skill is designed to be extended to other sources:

  • Hacker News (/hn)
  • Reddit (/reddit)
  • Other tech news aggregators

The modular architecture allows adding new source handlers without changing core functionality.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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