A sophisticated intelligence tool that aggregates and analyzes real-time data from 8 global sources for comprehensive tech and finance briefings.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install news-aggregator-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install news-aggregator-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is News Aggregator Skill?
The News Aggregator Skill is a high-performance intelligence tool within the Openclaw Skills ecosystem, designed for developers and analysts who require curated, high-signal information from across the web. It integrates directly with eight major platforms including Hacker News, GitHub Trending, Product Hunt, 36Kr, and WallStreetCN, providing a unified interface to scan global trends. By leveraging deep content extraction and AI-driven summarization, it transforms fragmented news into structured, actionable intelligence.
This skill is particularly effective for users who need more than just headlines. It features a robust semantic engine that understands context, allowing it to perform smart keyword expansion and prioritize high-value stories. Whether you are tracking the latest LLM breakthroughs or monitoring market sentiment, this skill automates the research process, delivering professional-grade reports in a magazine-style format.
News Aggregator Skill Use Cases
- Generating automated daily briefings on technology, AI, and global finance.
- Monitoring GitHub Trending repositories to stay ahead of emerging software libraries and frameworks.
- Conducting deep dives into specific topics using content extraction for full-text analysis and interpretation.
- Creating professional internal newsletters based on high-heat social and technical signals from multiple regions.
How News Aggregator Skill Works
- The user initiates a request specifying a source or a global scan, which triggers the automated search logic.
- The skill performs semantic keyword expansion, transforming simple queries like "AI" into a broad array of relevant technical terms.
- Data is fetched from the selected sources, which include developer hubs (GitHub, V2EX) and financial news (WallStreetCN).
- A semantic filtering layer evaluates the fetched items to ensure they align with the user's specific interests and time windows.
- For deep scans, the skill extracts the main body text from articles to provide a richer context for analysis.
- The AI agent generates a structured report, identifying core values, technical inspirations, and scenario tags for every relevant item.
News Aggregator Skill Setup
To integrate this capability into your workflow, navigate to your Openclaw Skills environment and use the provided python script.
For a comprehensive global scan, execute:
python3 scripts/fetch_news.py --source all --limit 15 --deep
To target specific topics with automatic keyword expansion, use:
# The agent will expand "AI" to include LLM, GPT, and RAG
python3 scripts/fetch_news.py --source hackernews --limit 20 --keyword "AI" --deep
News Aggregator Skill Data Schema & Taxonomy
The skill manages data through a structured pipeline, outputting JSON for processing and Markdown for reporting.
| Attribute | Description |
|---|---|
| Source | Supported platforms: hackernews, github, producthunt, 36kr, weibo, v2ex, tencent, wallstreetcn. |
| Deep Content | Extracted article text available when the --deep flag is enabled for deeper analysis. |
| Analysis Tags | AI-generated metadata including Core Value, Inspiration, and Scenario tags. |
| Report Storage | Formatted reports are saved to reports/ with a timestamped filename for historical tracking. |
News Aggregator Skill Advanced Features
- Smart Fill Logic: Automatically supplements reports with high-value historical items when real-time results are sparse to ensure a minimum of 5 insights.
- Semantic Keyword Expansion: Intelligently converts simple user prompts into comprehensive search queries for better domain coverage.
- AI-Driven Interpretation: Provides specialized breakdowns of every news item, focusing on technical problem-solving and product insights.
- Magazine-Style Formatting: Delivers reports in a professional newsletter aesthetic, complete with Markdown links and metadata for easy consumption.
SKILL.md
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