smithery.ai

diagnostics

Use for structured technical SEO audits, incident response, and validation.

First seen Mar 21, 2026

Installation

$ npx skills add https://smithery.ai

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from smithery.ai · top by installs.

npx skills add https://smithery.ai

Browse all from smithery.ai

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,295 B
  • docs SUMMARY.md 94 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 2 installs

SKILL.md

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.