hackernews-cn

What This Skill Does

The hackernews-cn skill for OpenClaw is a powerful interface designed to keep developers, entrepreneurs, and tech enthusiasts updated on the latest discussions from Hacker News. By integrating with both the official Hacker News API and the robust Algolia HN Search API, this skill allows users to fetch top, new, and best stories in real-time. It goes beyond simple data retrieval by providing structured views of startup news, technical discussions, and project showcases. Whether you want to monitor the pulse of the Silicon Valley startup scene or track specific keywords like 'AI Agents' or 'Rust', this skill delivers curated, high-value information directly to your chat interface.

Installation

To integrate this capability into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/guohongbin-git/hackernews-cn

Use Cases

This skill is ideal for daily professional research and technical reconnaissance. Use it to:

• Stay ahead of industry trends by monitoring 'Top Stories' before they reach mainstream news.
• Scout for new hiring opportunities or talent via the 'Jobs' category.
• Validate ideas or find inspiration by exploring 'Show HN' submissions.
• Analyze public sentiment or technical debate surrounding specific emerging technologies like LLMs, quantum computing, or decentralized systems.
• Prepare for technical interviews by reviewing popular 'Ask HN' threads on engineering management and system architecture.

Example Prompts

1. "获取 Hacker News Top 5 热门文章，并告诉我哪些与 AI 相关。"
2. "在 Hacker News 上搜索关于 'Open Source' 的最近讨论，重点找 Show HN 类别的项目。"
3. "获取最新的 Hacker News Ask HN 讨论，我正在寻找关于远程办公架构的建议。"

Tips & Limitations

• Precision: When searching, use specific keywords to narrow down results, as HN hosts thousands of threads. If the results are too broad, try adding categories like 'Ask HN' or 'Show HN'.
• Limitations: Note that this skill relies on external APIs (Hacker News and Algolia). If these services experience downtime or rate limiting, the skill may return delayed or limited data. The analysis features summarize metadata; for deep dives into long comment threads, it is recommended to visit the source URL provided in the output.