Summary
This walks you through a structured web performance audit covering Core Web Vitals like LCP, FID, and CLS, plus the full analysis process from measurement to optimization. You'd pull this out when diagnosing slow page loads, prepping for SEO work, or setting performance baselines after a major deploy. The real value is in the reference guides that break down metrics, analysis workflows, and specific optimization strategies. It's heavy on the "what to measure and why" side, which is actually helpful since most teams jump straight to guessing at fixes without proper measurement. One honest take: the emphasis on field data plus lab data and continuous monitoring is the right approach, even if it feels like more work upfront.
Install to Claude Code
npx -y skills add aj-geddes/useful-ai-prompts --skill web-performance-audit --agent claude-codeInstalls into .claude/skills of the current project.
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one prompt install →Files
SKILL.md
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
