OpenClaw Skills安装与实战:打造你的AI技能工具箱

npm install -g clawhub

clawhub search self-improving

clawhub install self-improving

# 搜索技能
clawhub install tavily-search

# 文章总结
clawhub install summarize

# React 开发指导
clawhub install react

# GitHub 操作
clawhub install github

# 自我学习
clawhub install self-improving

# 理财建议
clawhub install wealth

# 主动代理
clawhub install proactive-agent-lite

clawhub list

dir ~/.openclaw/workspace/skills

# 基础搜索
node skills/tavily-search-1.0.0/scripts/search.mjs "React 19 新特性"
# 指定结果数量
node skills/tavily-search-1.0.0/scripts/search.mjs "查询内容" -n 10
# 深度搜索
node skills/tavily-search-1.0.0/scripts/search.mjs "查询内容" --deep
# 新闻搜索
node skills/tavily-search-1.0.0/scripts/search.mjs "查询内容" --topic news

# 总结网页
summarize "https://example.com/article" --length medium

# 总结 PDF
summarize "/path/to/file.pdf" --length short

# 总结 YouTube 视频
summarize "https://youtu.be/xxxxx" --youtube auto

# 查看仓库信息
gh repo view owner/repo

# 查看最近 PR
gh pr list --repo owner/repo --state merged --limit 5

# 查看 CI 状态
gh pr checks 55 --repo owner/repo

# Windows PowerShell
mkdir -p $env:USERPROFILE\self-improving\projects
mkdir -p $env:USERPROFILE\self-improving\domains
mkdir -p $env:USERPROFILE\self-improving\archive

# Linux/macOS
mkdir -p ~/self-improving/{projects,domains,archive}

# Memory (HOT Tier)

> 总是加载的记忆，存储最重要的偏好和规则

## Preferences

<!-- 用户偏好 -->

## Patterns

<!-- 已验证的工作模式 -->

## Rules

<!-- 经过确认的规则 -->

# Corrections Log

> 记录用户的修正反馈

| Date | Context | What I Got Wrong | Correct Answer | Learned |
|------|---------|-----------------|----------------|---------|

# Domain: Programming

## Language Preferences

- TypeScript > JavaScript
- Python 用于数据分析

## Framework Preferences

- 前端：React + Next.js
- 状态管理：Zustand
- 样式：Tailwind CSS

📊 Self-Improving Memory

🔥 HOT (always loaded):
   memory.md: 0 entries

🌡️ WARM (load on demand):
   projects/: 0 files
   domains/: 1 file

❄️ COLD (archived):
   archive/: 0 files

# Windows（永久）
[Environment]::SetEnvironmentVariable("TAVILY_API_KEY", "your-api-key", "User")

# Linux/macOS
echo 'export TAVILY_API_KEY="your-api-key"' >> ~/.bashrc
source ~/.bashrc

node skills/tavily-search-1.0.0/scripts/search.mjs "React 19 new features" -n 5

summarize "https://www.telerik.com/blogs/whats-new-react-19" --length medium

// TechCard.tsx
interface TechCardProps {
  title: string
  summary: string
  source: string
  tags: string[]
}
export function TechCard({ title, summary, source, tags }: TechCardProps) {
  const isSaved = useUIStore((s) => s.savedItems.has(title))
  const toggleSave = useUIStore((s) => s.toggleSave)
  return (
    <article className="rounded-lg border p-4 shadow-sm">
      <header className="mb-2 flex items-start justify-between">
        <h3 className="font-semibold">{title}</h3>
        <button onClick={() => toggleSave(title)}>
          {isSaved ? '★' : '☆'}
        </button>
      </header>
      <p className="text-gray-600 text-sm">{summary}</p>
      <footer className="mt-3 flex gap-2">
        {tags.map(tag => (
          <span key={tag} className="bg-gray-100 px-2 py-0.5 rounded text-xs">
            {tag}
          </span>
        ))}
      </footer>
    </article>
  )
}

## Language Preferences
- 首选：TypeScript
- 避免：纯 JavaScript
- 原因：类型安全，更好的 IDE 支持