technews
Fetches top stories from TechMeme, summarizes linked articles, and highlights social media reactions. Use when user wants tech news or says /technews.
Best use case
technews is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Fetches top stories from TechMeme, summarizes linked articles, and highlights social media reactions. Use when user wants tech news or says /technews.
Teams using technews should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/technews/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How technews Compares
| Feature / Agent | technews | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Fetches top stories from TechMeme, summarizes linked articles, and highlights social media reactions. Use when user wants tech news or says /technews.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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: ```bash 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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