OpenClaw Mastery:
16 Chapters From First Deploy to Production Architecture

# heartbeat_config.yaml
heartbeat:
  name: "site-monitor"
  interval: "*/15 * * * *"
  model: gpt-4o-mini
  persona: "monitoring-agent"

  triggers:
    - type: http_check
      url: "https://yourdomain.com"
      timeout: 10s
      expect_status: 200

    - type: content_diff
      url: "https://competitor.com/pricing"
      selector: ".pricing-table"
      notify_on_change: true

  actions:
    on_failure:
      - send_alert:
          channel: "#ops"
          severity: "high"
      - create_incident:
          assign_to: "on-call"
    on_success:
      - log_metric:
          name: "uptime_check"
          value: 1

# seo_scan_scheduler.py
from openclaw import Agent, Schedule, Tools

class SEOMonitorAgent(Agent):
    """Proactive SEO monitoring with scheduled scans."""

    model = "gpt-4o-mini"
    tools = [Tools.web_scraper, Tools.serp_api, Tools.slack]

    schedule = Schedule(
        cron="0 6 * * 1",  # Every Monday at 6am
        timezone="America/New_York"
    )

    async def run(self):
        keywords = await self.memory.get("tracked_keywords")

        results = []
        for kw in keywords:
            position = await self.tools.serp_api.check(
                keyword=kw["term"],
                domain=kw["domain"]
            )
            results.append({
                "keyword": kw["term"],
                "current": position,
                "previous": kw.get("last_position"),
                "delta": kw.get("last_position", 0) - position
            })

        await self.memory.set("tracked_keywords", results)

        drops = [r for r in results if r["delta"] < -3]
        if drops:
            await self.tools.slack.send(
                channel="#seo-alerts",
                text=self.format_drop_report(drops)
            )