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site-performance-watch

site-performance-watch

github.com/gtmagentsCloud & DevOps42864 installsUpdated 30w ago
Repository

About site-performance-watch

A skill for monitoring website performance during campaigns and launches, and investigating conversion declines linked to latency or availability. It covers KPI selection, segmentation, alerting, diagnostics, and incident communication.

Key features

  1. 01Web performance KPI framework
  2. 02Device and traffic segmentation
  3. 03Threshold and escalation rules
  4. 04Logging and tracing diagnostics
  5. 05Incident communication templates

Use cases

  1. 01Monitoring launches and campaigns
  2. 02Investigating conversion drops
  3. 03Sharing performance incidents with teams

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/gtmagents/gtm-agents --skill site-performance-watch

After installing, type/site-performance-watchin Claude Code to confirm it loaded.

Details

From the project README

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

  1. KPI Stack – FCP, LCP, CLS, TTFB, checkout API latency, error rates, uptime.
  2. Segmentation – device, geography, browser, promotion, traffic source.
  3. Alerting Rules – thresholds, aggregation windows, escalation paths, war-room triggers.
  4. Diagnostics – logging, tracing, screenshot/session replay hooks.
  5. 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.

Comments

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