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效率与协作 · SKILL.md

technews

technews

【效率与协作】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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技能说明

GitHub

name: technews description: Fetches top stories from TechMeme, summarizes linked articles, and highlights social media reactions. Use when user wants tech news or says /technews. metadata: {"openclaw":{"emoji":"📰"}}

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 TechMeme — scripts/techmeme_scraper.py fetches and parses top stories
  2. Fetch Articles — scripts/article_fetcher.py retrieves article content in parallel
  3. Summarize — scripts/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.

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