ai-news-zh

What This Skill Does

AI News ZH is an automated news aggregator designed to keep you updated on the rapidly evolving AI landscape. It functions as a personalized digital newspaper editor, scraping high-quality English-language tech media, distilling the core insights, translating them into professional Chinese, and categorizing them into logical buckets like Large Models, Agents, and Funding. By automating the tedious process of browsing multiple websites, this skill allows users to stay at the cutting edge of AI developments—from breakthroughs in foundation models to the latest regulatory debates—without spending hours manually filtering noise.

Installation

To integrate AI News ZH into your OpenClaw environment, execute the following command in your terminal or assistant interface: clawhub install openclaw/skills/skills/aizain/ai-news-zh Once installed, configure your notification settings in your TOOLS.md file by defining your preferred channel (Feishu, Telegram, or Discord) and setting the desired delivery time, such as 07:30 (Asia/Shanghai) to ensure your morning briefing is ready for your commute.

Use Cases

This skill is perfect for AI researchers, product managers, software engineers, and tech enthusiasts who need to maintain market awareness. It helps in tracking competitor movements, discovering new open-source tools for development workflows, and monitoring venture capital flow in the AI sector. Organizations can use it to maintain internal knowledge bases by aggregating industry trends, while individual power users can rely on it to cut through the information overload of typical daily tech news.

Example Prompts

1. "帮我采集今天的AI新闻，整理成中文日报，重点关注大模型和开源项目。"
2. "查看过去24小时TechCrunch上的AI融资新闻，并总结成简报发到我的飞书群里。"
3. "整理一份关于AI Agent技术的最新进展汇总，只包含本周最核心的5条动态。"

Tips & Limitations

To get the best results, ensure your environment has the web_fetch tool enabled, as it is the primary engine for content acquisition. For more comprehensive coverage, configuring the optional web_search with a Brave API key is highly recommended to bridge gaps in RSS feeds. Be aware that the quality of translation and summary relies heavily on the underlying language model's capabilities; if complex technical jargon is misrepresented, you may need to adjust your persona instructions. Finally, always perform a manual trigger test after initial setup to verify that your chosen notification channel is correctly integrated and the formatting meets your expectations.