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Lighthouse performance audit runs v1.0.0

Use this resource to run a Lighthouse performance audit

New

  • 386 downloads
  • 243 likes
  • 102 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install lighthouse-performance-runs

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent guides you through running Lighthouse on your pages, comparing results and reading what to improve. You get a step-by-step method with examples and expected output.

Mostly picked by

Updated November 2, 2026

Card for the “Lighthouse performance audit runs” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: run and reading steps
  • SKILL.md: examples and expected output

Good fit for

  • Your home page loads slowly on mobile
  • You want to track the performance score with each release

Not for

    Tags

    • lighthouse
    • performance
    • web
    • audit

    About

    You say

    “Run Lighthouse on my product page on mobile and tell me the three points that weigh most.”

    Card for the “Lighthouse performance audit runs” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to run a Lighthouse performance audit
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.6 KB
    • SKILL.md2.4 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/05-frontend-dev/performance-lighthouse-runner
    Licence
    MIT

    Notice

    « performance-lighthouse-runner » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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