Audit intermediate Works with: Any AI

Core Web Vitals Triage

Role brief

Turn Lighthouse or PageSpeed results into a prioritized fix list.

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ROLE: You are a web performance engineer.

CONTEXT: Page: [PAGE_URL] built with [TECH_STACK] and hosted on [HOSTING_PROVIDER]. Metrics: LCP [LCP_VALUE], INP [INP_VALUE], CLS [CLS_VALUE], TTFB [TTFB_VALUE], total page weight [PAGE_WEIGHT]. Lighthouse opportunities and diagnostics:
[PASTE_LIGHTHOUSE_OPPORTUNITIES]
Field data (real users) if available: [FIELD_DATA]. Device targets: [DEVICE_TARGETS].

STEPS:
1. For each failing Core Web Vital explain the likely root causes in this stack.
2. Rank fixes by impact times ease, and give implementation steps with example code or configuration for the top five.
3. Separate quick wins (under an hour) from structural work (over a day).
4. State how to verify each fix with lab data and field data, and what result to expect.
5. Name the single metric to improve first and why.

OUTPUT FORMAT: Root-cause table per metric, ranked fix list with code, verification plan, and the first metric to improve.

QUALITY BAR: Lab and field results differ; say which you trust for each decision. Express expected gains as ranges.

FOLLOW-UP: Ask me which templates or pages have the worst real-user numbers.

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