daily-tech-trends（每日科技趋势）

Daily Tech Trends - 每日科技热点

Automatically scan multiple tech news sources to capture trending topics. Built for Kevin's "Build fast, share fast" workflow.

When to Use

Use this skill when:

• User wants to check today's trending topics
• User mentions: "今日热点", "科技新闻", "扫描热点", "check trends"
• User wants to find content inspiration for tweets/articles
• Morning routine: scan news before creating content

Auto-trigger scenarios:

• User says: "今天有什么热点"
• User says: "扫描科技新闻"
• User says: "check tech trends"

Core Philosophy

Aligned with Kevin's core abilities:

• 捕捉热点 - 3秒钟出创意的基础
• Build fast, share fast - 快速获取灵感
• 病毒式传播 - 追热点是最快的涨粉方式

"ADHD创意爆发：3秒钟出创意，快速捕捉热点" - Kevin's superpower

Information Sources

English Sources (5)

1. Hacker News - Tech community discussions
2. GitHub Trending - Popular open source projects
3. Product Hunt - New product launches
4. Reddit r/technology - Tech discussions
5. TechCrunch - Tech news and analysis

Chinese Sources (3)

1. 36氪 - Chinese tech news
2. 少数派 - Digital lifestyle
3. V2EX - Chinese tech community

Features

1. Multi-Source Scanning

• Automatically scan 8+ sources in parallel
• Extract top 5-10 items from each source
• Deduplicate and merge results

2. AI Analysis

• Categorize topics (AI, Tech, Startup, Dev Tools, etc.)
• Extract keywords
• Evaluate hotness (upvotes, comments, shares)
• Generate summaries

3. Custom Themes

• Filter by theme: AI, Tech, Startup, Dev Tools
• Configurable in config/sources.json
• Easy to add new themes

4. Obsidian Integration

• Save to: D:\obsidian\AI_kevin工作区\记忆库\每日热点\
• Format: YYYY-MM-DD_科技热点.md
• Include: title, link, source, category, summary

5. Tweet Generation (Optional)

• Integrate with personal-tweet-generator
• Generate tweets based on trending topics
• One-click copy to clipboard

Usage

Quick Scan (Default)

扫描今日热点

Output:

• Console: Top 10 trending topics
• Obsidian: Full report saved
• Screenshots: Evidence saved to tmp/

Scan with Theme Filter

扫描今日 AI 热点

Output:

• Only AI-related topics
• Filtered and ranked by relevance

Scan and Generate Tweets

扫描热点并生成推文

Output:

• Trending topics report
• 3 tweet drafts based on top topics
• Ready to copy and post

Output Format

Console Output

🔥 今日科技热点 (2026-01-23)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📰 Hacker News (5 条)
  1. [AI] Ghostty's AI Policy
     https://github.com/ghostty-org/ghostty/blob/main/AI_POLICY.md
     176 points | 89 comments

  2. [Tech] Replacing Protobuf with Rust to go 5 times faster
     https://pgdog.dev/blog/replace-protobuf-with-rust
     67 points | 39 comments

📰 GitHub Trending (5 条)
  1. [AI] microsoft/VibeVoice
     https://github.com/microsoft/VibeVoice
     ⭐ 2.3k stars today

  2. [Dev Tools] browser-use/browser-use
     https://github.com/browser-use/browser-use
     ⭐ 1.8k stars today

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ 共扫描到 25 条热点
📁 报告已保存到: D:\obsidian\AI_kevin工作区\记忆库\每日热点\2026-01-23_科技热点.md

Obsidian Output

---
title: 2026-01-23 科技热点
date: 2026-01-23
type: daily_trends
sources: [hackernews, github, producthunt, 36kr, reddit, techcrunch, sspai, v2ex]
total_items: 25
categories: [AI, Tech, Startup, Dev Tools]
---

# 2026-01-23 科技热点

> 今日共扫描 8 个信息源，发现 25 条热点

## 🔥 Top 10 热点

### 1. Ghostty's AI Policy
**来源:** Hacker News | **分类:** AI | **热度:** ⭐⭐⭐⭐⭐
**链接:** https://github.com/ghostty-org/ghostty/blob/main/AI_POLICY.md
**摘要:** Ghostty 发布了 AI 使用政策，明确了 AI 在项目中的使用边界...

### 2. microsoft/VibeVoice
**来源:** GitHub Trending | **分类:** AI | **热度:** ⭐⭐⭐⭐⭐
**链接:** https://github.com/microsoft/VibeVoice
**摘要:** 微软开源的语音合成项目，今日获得 2.3k stars...

...

## 📊 分类统计

- AI: 8 条
- Tech: 7 条
- Startup: 5 条
- Dev Tools: 5 条

## 💡 推文灵感

基于今日热点，可以创作以下主题的推文：
1. Ghostty 的 AI 政策对开源项目的启示
2. 微软 VibeVoice 的技术亮点
3. Rust 替换 Protobuf 的性能提升案例

---

*本报告由 daily-tech-trends skill 自动生成*
*扫描时间: 2026-01-23 09:00*

Technical Implementation

Architecture

User Request
    ↓
SKILL.md (trigger detection)
    ↓
scripts/scan_trends.ts (parallel scanning)
    ↓
scripts/analyze_trends.ts (AI analysis)
    ↓
scripts/save_to_obsidian.ts (save report)
    ↓
Output (console + Obsidian + screenshots)

Key Scripts

1. scan_trends.ts

• Use Dev Browser to visit each source
• Extract titles, links, metadata
• Handle rate limiting and errors
• Return structured data

2. analyze_trends.ts

• Categorize topics using AI
• Extract keywords
• Evaluate hotness
• Generate summaries
• Filter by theme (if specified)

3. save_to_obsidian.ts

• Format data as Markdown
• Save to Obsidian vault
• Create backlinks
• Update index

Configuration

config/sources.json

{
  "sources": [
    {
      "name": "Hacker News",
      "url": "https://news.ycombinator.com/",
      "selector": ".titleline > a",
      "limit": 10,
      "enabled": true
    },
    {
      "name": "GitHub Trending",
      "url": "https://github.com/trending",
      "selector": "h2.h3 a",
      "limit": 10,
      "enabled": true
    },
    ...
  ],
  "themes": {
    "AI": ["ai", "machine learning", "llm", "gpt", "claude", "openai"],
    "Tech": ["tech", "technology", "software", "hardware"],
    "Startup": ["startup", "funding", "vc", "entrepreneur"],
    "Dev Tools": ["developer", "tool", "framework", "library"]
  }
}

Scheduled Task

Windows Task Scheduler

Daily at 9:00 AM:

schtasks /create /tn "每日科技热点扫描" /tr "cd ~/.claude/skills/daily-tech-trends && npm run scan" /sc daily /st 09:00

Manual trigger:

cd ~/.claude/skills/daily-tech-trends
npm run scan

Integration with Other Skills

With personal-tweet-generator

1. Scan trends
2. Select top 3 topics
3. Generate tweets using personal-tweet-generator
4. Preview with tweet-previewer
5. Copy and post

With conversation-saver

1. Scan trends
2. Save conversation about trends
3. Build knowledge base

Error Handling

Network Errors

• Retry with exponential backoff
• Skip failed sources
• Continue with available data

Rate Limiting

• Respect robots.txt
• Add delays between requests
• Use caching when possible

Parsing Errors

• Log errors for debugging
• Use fallback selectors
• Notify user of issues

Performance

Scan Time:

• 8 sources in parallel: ~10-15 seconds
• Sequential: ~60-90 seconds

Resource Usage:

• Memory: ~200MB (Chromium instances)
• CPU: Low (mostly waiting for network)
• Disk: ~5MB per day (reports + screenshots)

Future Enhancements

Phase 2

• Add more sources (Ars Technica, MIT Tech Review)
• Email/WeChat notifications
• Trending chart visualization
• Historical trend analysis

Phase 3

• Custom source configuration UI
• Real-time monitoring (not just daily)
• Collaborative filtering (learn from user preferences)
• API endpoint for other tools

Troubleshooting

Q: Scan fails for some sources? A: Check if selectors are still valid. Websites change their HTML structure.

Q: Too many irrelevant topics? A: Adjust theme keywords in config/sources.json

Q: Scan is too slow? A: Reduce limit in config or disable some sources

Credits

Created by: Kevin + Claude (AI助手) Created on: 2026-01-23 Version: 1.0.0 License: MIT

Inspired by:

• Kevin's "捕捉热点" superpower
• "Build fast, share fast" philosophy
• ADHD-friendly automation

*"3秒钟出创意，快速捕捉热点" - Kevin's core ability*