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diagnostics

diagnostics

github.com/gtmagentsMarketing & growth42869 installsUpdated 30w ago
Repository

About diagnostics

A technical diagnostics skill for marketing and web teams investigating crawl, indexing, traffic, or Core Web Vitals issues. It structures evidence gathering, root-cause hypotheses, remediation planning, and validation.

Key features

  1. 01Signal triangulation across data sources
  2. 02Issue reproduction scripts
  3. 03Root-cause hypothesis mapping
  4. 04Remediation and risk planning
  5. 05Pre/post-fix validation templates

Use cases

  1. 01Investigating crawl or indexing anomalies
  2. 02Tracing traffic drops to likely causes
  3. 03Checking Core Web Vitals regressions
  4. 04Validating fixes after deployments

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/gtmagents/gtm-agents --skill diagnostics

After installing, type/diagnosticsin Claude Code to confirm it loaded.

Details

From the project README

Technical Diagnostics Toolkit Skill

When to Use

  • Investigating crawl/index anomalies, traffic drops, or Core Web Vitals regressions.
  • Running scheduled audits ahead of major launches or migrations.
  • Validating fixes before/after engineering deployments.

Framework

  1. Signal Triangulation – combine Search Console, log files, crawler output, and analytics deltas.
  2. Replication Scripts – document steps to reproduce issues (user agents, locales, device types).
  3. Root Cause Hypotheses – map symptoms to likely causes (render blocking, redirects, robots, schema errors).
  4. Fix Design – outline remediation options, risk level, dependencies, and testing approach.
  5. Validation & Monitoring – specify metrics and alerts to confirm resolution.

Templates

  • Diagnostics worksheet (symptom, evidence, hypothesis, owner, next action).
  • Crawl + render checklist per environment.
  • Validation log capturing metrics pre/post change.

Tips

  • Keep historical baselines to quickly detect regressions.
  • Pair with engineering release notes to correlate incidents.
  • Automate recurring crawls and lighthouse runs to catch issues early.

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