Web Perf

What it does

This skill organizes a performance investigation around measured loading and interaction behavior. It connects traces and network requests to specific implementation costs, then prioritizes changes by their expected effect. That is more useful than applying a generic optimization checklist to a page whose actual bottleneck has not been observed.

Best for

Diagnosing a slow route, a delayed interaction or a performance regression after an application change. Provide a reproducible user journey, an affected device class and the environment in which the slowdown occurs.

Tradeoffs and requirements

The available tools determine which measurements can be collected. A source inspection alone cannot establish field performance, and a single Lighthouse run is sensitive to cache, network and device conditions. The source's guidance may mention changing tool configuration; that remains a separate setup decision requiring the project's normal authorization.

Unknown; inspect source requirements and supporting scripts.

Install from the source

Inspect the pinned source snapshot and its supporting files first. The command selects this skill through the open-source skills CLI. Node.js and agent-specific setup may be required. Installation can download code. Catalog ingestion never executes skill instructions or install scripts.

npx skills add https://github.com/cloudflare/skills/tree/83a27eb901c2c63f6caaf0eca6168993a322d268/skills/web-perf --skill web-perf

Review pinned skill folder ↗ · CLI documentation ↗

After source review, use npx skills check and npx skills update to inspect and apply upstream updates. Re-check changed instructions before running them.

Safety & review signals

Static review only. This is not a security audit or a guarantee of safety.

SKILL.md text only; scripts, dependencies and runtime behavior not audited.

• Network Access — review the source context.
• Shell Or Package Install — review the source context.

Allowed tools declaration: Unknown. Runtime permissions and network behavior: Unknown.

AI Craft Pad Skill Score

86/100 · Metadata coverage 100% · Model 1.0

Scores summarize observable discovery signals. Popularity and repository activity apply to the whole repository. Unknown runtime safety earns no certification.

Documentation

100/100

100

Maintenance

100/100

100

License Clarity

100/100

100

Repository Health

100/100

100

Compatibility Evidence

80/100

80

Popularity

63/100

63

Originality

80/100

80

Static Safety

60/100

60

Suggested workflow

Record a representative baseline, trace the expensive boundary, make one focused change and measure the same scenario again. Pair with webapp-testing to ensure that a faster page still completes the intended interaction.

How to judge the result

Compare equivalent cache states, inputs and device conditions. Report the measured metric, variation between runs and any important interactions that the optimization did not cover.