site-performance-watch

Site Performance Watch Skill

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "site-performance-watch" with this command: npx skills add gtmagents/gtm-agents/gtmagents-gtm-agents-site-performance-watch

Site Performance Watch Skill

When to Use

  • Setting up proactive monitoring during campaigns or launches.

  • Investigating conversion drops tied to latency or availability issues.

  • Communicating performance incidents to merchandising and engineering teams.

Framework

  • KPI Stack – FCP, LCP, CLS, TTFB, checkout API latency, error rates, uptime.

  • Segmentation – device, geography, browser, promotion, traffic source.

  • Alerting Rules – thresholds, aggregation windows, escalation paths, war-room triggers.

  • Diagnostics – logging, tracing, screenshot/session replay hooks.

  • Comms Kit – stakeholder updates, status pages, rollback plans.

Templates

  • Performance scorecard with spark lines + thresholds.

  • Incident log template with root cause, mitigation, and follow-up tasks.

  • Escalation matrix covering engineering, DevOps, merchandising, and CX leads.

Tips

  • Pair synthetic monitoring with RUM data to catch both systemic and localized issues.

  • Freeze experiment/merch changes when performance breaches critical thresholds.

  • Use alongside diagnose-conversion-drop to correlate experience and performance data.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Automation

cold-outreach

No summary provided by upstream source.

Repository SourceNeeds Review
Automation

technical-bid-library

No summary provided by upstream source.

Repository SourceNeeds Review
Automation

scriptwriting

No summary provided by upstream source.

Repository SourceNeeds Review
Automation

cold-email-personalization

No summary provided by upstream source.

Repository SourceNeeds Review