• ✅ Global network accessible: Uses all 75 sources (China + Global)
• 🇨🇳 China-only network: Automatically uses 18 China sources only
• ⚡ Completely transparent: Detection is cached for 5 minutes, no user notification needed

• General (25 sources):
  • 🌍 International: TechCrunch, The Verge, Wired, Ars Technica, MIT Technology Review, VentureBeat, Hacker News
  • 🇨🇳 China: 36氪, 虎嗅, IT之家, 机器之心, 量子位, 钛媒体, 掘金, InfoQ中文站, 开源中国, 博客园, SegmentFault, V2EX, 极客公园, 爱范儿, PingWest品玩, 少数派, 雷锋网, 阿里云开发者
• Frontend/Web (14 sources):
  • 🌍 Dev.to (React, Vue, Electron, JavaScript, TypeScript), Reddit (r/javascript, r/reactjs, r/vuejs, r/electronjs, r/webdev), Official Blogs (React, Vue, Electron)
  • 🇨🇳 掘金 (frontend)
• Backend (16 sources):
  • 🌍 Dev.to (Python, Go, Node.js, Java, TypeScript), Reddit (r/Python, r/golang, r/node, r/java), Official Blogs (Node.js, Python, Go, Rust)
  • 🇨🇳 掘金, 博客园, 阿里云开发者
  • Now includes databases (MySQL, PostgreSQL, MongoDB, Redis)
• Mobile (4 sources): Reddit (r/androiddev, r/iOSProgramming, r/FlutterDev), Android Developers Blog
• AI/ML (11 sources):
  • 🌍 VentureBeat, Dev.to (AI, Machine Learning), Reddit (r/MachineLearning, r/artificial, r/LocalLLaMA)
  • 🇨🇳 机器之心, 量子位, 雷锋网
• DevOps (9 sources):
  • 🌍 Dev.to (Docker, Kubernetes), Reddit (r/docker, r/kubernetes, r/devops), Official Blogs (Docker, Kubernetes)
  • 🇨🇳 阿里云开发者
  • Now includes cloud (AWS, Azure, GCP)
• Hardware (4 sources): Hackaday, Arduino Blog, Reddit (r/arduino, r/raspberry_pi)
• Security (4 sources): The Hacker News (security), Krebs on Security, Reddit (r/netsec, r/cybersecurity)
• OS (1 source): Phoronix

1. Silently detect network environment (cached for 5 minutes)
2. Filter sources by network accessibility (global vs China-only)
3. Analyze keyword (supports English and Chinese)
4. Detect technical domains (e.g., "Electron" → frontend, "ChatGPT" → AI, "web" → frontend via alias)
5. Search relevant sources + general sources
6. Rank by heat score and return results

• "Electron 技术资讯" → Detects:

  {general, frontend}

  → Searches: ~37 sources
• "web development" → Detects:

  {general, frontend}

  → Searches: ~37 sources (alias: "web" → frontend)
• "前端框架" → Detects:

  {general, frontend}

  → Searches: ~37 sources
• "ChatGPT 最新消息" → Detects:

  {general, ai}

  → Searches: ~30 sources
• "ML models" → Detects:

  {general, ai}

  → Searches: ~30 sources (alias: "ML" → ai)
• "机器学习" → Detects:

  {general, ai}

  → Searches: ~30 sources
• "Docker 安全漏洞" → Detects:

  {general, devops, security}

  → Searches: ~32 sources
• "云计算" → Detects:

  {general, devops}

  → Searches: ~28 sources (alias: "云" → devops)
• "database optimization" → Detects:

  {general, backend}

  → Searches: ~35 sources (merged: database → backend)
• "运维自动化" → Detects:

  {general, devops}

  → Searches: ~28 sources
• "树莓派 IoT" → Detects:

  {general, hardware}

  → Searches: ~23 sources
• "OpenAI ChatGPT" → Detects:

  {general, ai}

  → Searches: ~30 sources (company + product keywords)
• "技术新闻" (generic) → Detects:

  {general}

  → Searches: ~25 general sources only

• 🌍 Global accessible: Uses all 75 sources
• 🇨🇳 China-only network: Automatically switches to 18 China sources (掘金, InfoQ中文站, 开源中国, 博客园, SegmentFault, V2EX, 36氪, 虎嗅, IT之家, 机器之心, 量子位, 钛媒体, 极客公园, 爱范儿, PingWest品玩, 少数派, 雷锋网, 阿里云开发者)
• ⚡ Fast detection: 3-second timeout with 5-minute cache
• 🔇 Silent operation: No user notification, completely seamless

bash "$SKILLS_ROOT/technology-news-search/scripts/search-news.sh" "keyword" --all-sources

1. Frontend/Web: React, Vue, Angular, Electron, JavaScript, TypeScript, Webpack, Vite, Vercel, Netlify, JAMstack, MERN, 前端, 网页, 界面
2. Backend: Python, Go, Java, Rust, Node.js, Django, Flask, Spring, MySQL, PostgreSQL, MongoDB, Redis (databases merged), LAMP, LEMP, 后端, 服务器, API, 数据库, 存储
3. Mobile: Android, iOS, Flutter, React Native, Swift, Kotlin, 移动开发, 手机, App
4. AI/ML: AI, ChatGPT, LLM, OpenAI, Anthropic, Google AI, DeepMind, Machine Learning, PyTorch, TensorFlow, Copilot, 人工智能, 机器学习, 大模型, 百度, 阿里
5. DevOps: Docker, Kubernetes, CI/CD, Jenkins, Terraform, Ansible, AWS, Azure, GCP, Cloud Computing (cloud merged), HashiCorp, 运维, 部署, 云计算, 云服务, 阿里云, 腾讯云
6. Hardware: Arduino, Raspberry Pi, IoT, ESP32, 硬件, 物联网, 嵌入式
7. Security: Security, Vulnerability, CVE, Exploit, Encryption, 安全, 漏洞, 网络安全, 信息安全
8. OS: Linux, Windows, macOS, Kernel, Ubuntu, 操作系统, 内核, 系统
9. Blockchain: Ethereum, Bitcoin, Web3, Smart Contract, Solana, DeFi, NFT, 区块链, 加密货币, 比特币, 以太坊

• "web", "网站" → Frontend
• "database", "db", "数据库", "存储" → Backend
• "cloud", "云", "云服务" → DevOps
• "ML", "machine-learning", "数据科学" → AI
• "ops", "SRE", "infrastructure" → DevOps
• "fe" → Frontend
• "be", "server", "服务端" → Backend
• "IoT", "embedded" → Hardware
• "infosec", "cybersecurity", "信息安全" → Security

bash "$SKILLS_ROOT/technology-news-search/scripts/search-news.sh" "Electron" --limit 15

1. Detect domains:

   {general, frontend}

2. Search 26 relevant sources (13 general + 13 frontend)
3. Output JSON with articles ranked by heat score

1. Extract keyword from user query
   • English examples: "Search for OpenAI news", "Find articles about ChatGPT"
   • Chinese examples: "搜索 苹果 的科技新闻", "查找 AI 相关资讯"
2. Run search script
   bash

   bash "$SKILLS_ROOT/technology-news-search/scripts/search-news.sh" "[keyword]" --limit 15 --max-per-source 5
   
   # To search all sources (disable smart routing)
   bash "$SKILLS_ROOT/technology-news-search/scripts/search-news.sh" "[keyword]" --limit 15 --all-sources

   Parameters:

   • --limit 15

     : Fetch up to 15 articles from each source

   • --max-per-source 5

     : Display max 5 articles per source (ensures diversity)

   • --no-balance

     : Disable balancing (show all results sorted by heat)

   • --all-sources

     : Search all 75 sources (disable smart routing)
3. Read JSON output
   • Script outputs to stdout
   • Contains: keyword, total_found, search_time, results array
   • Each result has: title, summary, url, published_at, source, language, heat_score, duplicate_sources
4. Translate English content
   • For articles with

     language: "en"

     , translate title and summary to Chinese
   • Keep technical terms in English (AI, GPT, API, SDK, etc.)
   • Format:

     English Title / 中文翻译

5. Format results by heat tier
   • 🔥 Hot News (90+): Top stories appearing on multiple sources or very recent
   • 📈 Trending (60-89): Moderately popular or recent stories
   • 📰 Related (<60): Other relevant matches
6. Present as Markdown
   • See Output Format section below

• Prevents single sources (like Hacker News) from dominating results
• Ensures exposure to different editorial perspectives
• Provides better coverage across international and Chinese sources

undefined

📊 Found 12 articles from 7 sources 🕐 Search time: 2026-02-18 14:30

"enabled": true/false

• Multi-source bonus: +20 per duplicate source (same story on multiple sites)
• Time decay:
  • 24h or less: +40 points (very fresh)
  • 24-48h: +28 points (recent)
  • 48-72h: +16 points (somewhat recent)
  • 72h+: +8 points (older)
• Keyword match quality:
  • Exact title match: +30
  • Partial title match: +15
  • Summary match: +5
• HN engagement: +1 per 10 points (max +20)
• Reddit engagement: +1 per 10 upvotes (max +20, NEW)
• Official source bonus: +10 (for official blogs, NEW)
• Base score: 20

• Always translate: English titles and summaries should have Chinese translations
• Preserve technical terms: Keep AI, GPT, API, SDK, LLM, etc. in English
• Clean presentation: Use Markdown only, no complex HTML artifacts
• Cross-reference duplicates: Show which sources covered the same story
• Keyword matching: Script searches in both titles and summaries across all languages

• Try broader keywords (e.g., "AI" instead of "GPT-5 benchmarks")
• Check if sources are accessible (firewall/network issues)
• Verify sources are enabled in references/sources.json

• Ensure Node.js is available or LobsterAI Electron is running
• Check network connectivity
• Review stderr output for specific error messages
• Some sources may be temporarily unavailable

• Reduce

  --limit

  parameter (default is 15)
• Disable some sources in references/sources.json
• Network speed affects RSS fetching time