⚡ OpenClaw自动化实战:10个真实场景工作流

世界上有一种魔法,叫自动化。早上8点03分,当我还在被窝里赖床时,我的AI Agent已经处理完了50封邮件、发了3条推文、分析了昨日数据。这就是OpenClaw的魔力...

本文分享10个经过实战验证的OpenClaw自动化场景,每个都包含完整配置和代码,拿来即用。

📊 场景概览

📧 场景1:智能邮件处理

需求:自动分类邮件、提取关键信息、重要邮件即时通知

配置代码

# email_automation.yaml
triggers:
  - type: imap
    server: imap.gmail.com
    username: ${EMAIL_USER}
    password: ${EMAIL_PASS}
    check_interval: 300  # 5分钟检查一次

workflow:
  steps:
    - action: fetch_emails
      limit: 20
      
    - action: classify_email
      model: gpt-4o-mini
      categories:
        - urgent      # 紧急
        - important   # 重要
        - newsletter  # 订阅
        - spam        # 垃圾
        
    - action: extract_info
      fields:
        - sender
        - subject
        - key_points
        - action_items
        
    - action: conditional
      condition: "category == 'urgent'"
      then:
        - action: send_notification
          channel: telegram
          message: "🚨 紧急邮件:{{subject}} from {{sender}}"
      else:
        - action: archive
          folder: "AI_Processed"

📝 场景2:自动内容创作

需求:根据热点自动生成博客文章并发布

配置代码

# content_automation.yaml
triggers:
  - type: cron
    schedule: "0 9 * * *"  # 每天上午9点

workflow:
  steps:
    - action: search_trends
      source: [google_trends, twitter, reddit]
      count: 5
      
    - action: select_topic
      criteria: relevance > 0.7 AND competition < 0.5
      
    - action: research
      depth: comprehensive
      sources: 10
      
    - action: write_article
      model: claude-3-opus
      style: engaging
      length: 1500
      seo_optimized: true
      
    - action: generate_images
      count: 3
      style: modern
      
    - action: publish
      platform: wordpress
      status: draft  # 先保存草稿,人工审核后发布
      
    - action: notify
      channel: slack
      message: "✅ 新文章已生成:{{title}}"

📈 场景3:每日数据报告

需求:自动收集多平台数据,生成可视化报告

配置代码

# daily_report.yaml
triggers:
  - type: cron
    schedule: "0 8 * * *"  # 每天早8点

workflow:
  steps:
    - action: collect_metrics
      sources:
        - name: google_analytics
          metrics: [users, sessions, bounce_rate]
        - name: stripe
          metrics: [revenue, new_subscriptions, churn]
        - name: github
          metrics: [stars, forks, issues]
          
    - action: analyze_data
      operations:
        - calculate_growth
        - detect_anomalies
        - compare_to_previous
        
    - action: generate_chart
      type: dashboard
      charts:
        - line: revenue_trend
        - bar: traffic_source
        - pie: user_device
        
    - action: write_report
      template: daily_report
      sections:
        - summary
        - key_metrics
        - insights
        - recommendations
        
    - action: send_email
      to: ["team@miaoquai.com"]
      subject: "📊 每日数据报告 - {{date}}"
      attachments:
        - report.pdf
        - dashboard.png

🐙 场景4:GitHub自动化

需求:自动处理Issues、Review PR、生成Release Notes

配置代码

# github_automation.yaml
triggers:
  - type: webhook
    event: github
    filters:
      - issue.opened
      - pull_request.opened
      - release.created

workflows:
  # 自动分类Issue
  issue_triage:
    condition: "event == 'issue.opened'"
    steps:
      - action: analyze_issue
        extract:
          - bug_keywords
          - feature_keywords
          - priority_indicators
          
      - action: label_issue
        labels:
          - "{{category}}"  # bug/feature/docs
          - "{{priority}}"  # high/medium/low
          
      - action: auto_reply
        message: |
          感谢提交 Issue!
          
          我们已将其分类为 {{category}},优先级 {{priority}}。
          预计处理时间:{{estimated_time}}
          
          如有补充信息,请随时更新。

  # PR自动Review
  pr_review:
    condition: "event == 'pull_request.opened'"
    steps:
      - action: analyze_code
        checks:
          - code_style
          - security_issues
          - test_coverage
          - breaking_changes
          
      - action: post_review
        type: comment
        content: |
          ## 🤖 AI Code Review
          
          ### 检查结果
          {{#each checks}}
          - {{status}} {{name}}: {{message}}
          {{/each}}
          
          ### 建议
          {{recommendations}}

📱 场景5:社交媒体运营

需求:自动发布内容、互动回复、数据分析

配置代码

# social_automation.yaml
workflows:
  # 定时发布
  scheduled_posts:
    trigger: cron
    schedule: "0 10,14,18 * * *"  # 每天10/14/18点
    steps:
      - action: select_content
        from: content_calendar
        platform: twitter
        
      - action: optimize_for_platform
        max_length: 280
        add_hashtags: true
        
      - action: post
        platforms: [twitter, linkedin]
        
      - action: track_performance
        metrics: [impressions, engagements, clicks]

  # 自动回复
  auto_reply:
    trigger: mention
    platforms: [twitter, discord]
    steps:
      - action: analyze_mention
        sentiment: true
        intent: true
        
      - action: generate_reply
        tone: friendly
        helpful: true
        
      - action: send_reply
        delay: 30  # 延迟30秒,更像真人

🚀 部署方案

Docker Compose部署

version: '3.8'
services:
  openclaw:
    image: openclaw/openclaw:latest
    volumes:
      - ./config:/config
      - ./workflows:/workflows
    environment:
      - OPENAI_API_KEY=${OPENAI_API_KEY}
      - GITHUB_TOKEN=${GITHUB_TOKEN}
    restart: unless-stopped
    
  scheduler:
    image: openclaw/scheduler:latest
    volumes:
      - ./workflows:/workflows
    depends_on:
      - openclaw

📊 性能监控

monitoring:
  metrics:
    - workflow_execution_time
    - success_rate
    - api_calls_count
    - cost_per_workflow
    
  alerts:
    - condition: "success_rate < 0.9"
      action: send_notification
      
    - condition: "cost_per_day > 50"
      action: send_alert