technews

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

7 stars

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

$curl -o ~/.claude/skills/technews/SKILL.md --create-dirs "https://raw.githubusercontent.com/Demerzels-lab/elsamultiskillagent/main/public/skills/kesslerio/technews/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/technews/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How technews Compares

Feature / AgenttechnewsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/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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