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)

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

Chinese Sources (3)

36氪 - Chinese tech news
少数派 - Digital lifestyle
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