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Page speed score simulation v1.0.0

Use this resource to simulate a page speed score from a performance report

New

  • 583 downloads
  • 205 likes
  • 111 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install page-speed-score-simulation

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 works from your performance report or explicit hypothetical inputs to estimate the score. You get a simulation, to be kept distinct from a real measurement.

Mostly picked by

Updated November 2, 2026

Card for the “Page speed score simulation” skill

Details

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

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What you get

  • SKILL.md: method, best practices and deliverable
  • SKILL.md: examples, limitations and common pitfalls

Good fit for

  • You want to estimate an optimization before shipping it
  • You need to explain a performance score to a client

Not for

    Tags

    • speed
    • performance
    • simulation
    • page
    • web

    About

    You say

    “Simulate my page score if I compress the images and defer the JavaScript, based on this report.”

    Card for the “Page speed score simulation” skill

    Skill published by WHOISABHISHEKADHIKARI 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 simulate a page speed score from a performance report
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md6.9 KB

    Origin and licence

    Listed unmodified

    Author
    WHOISABHISHEKADHIKARI
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/page-speed-score-simulator
    Licence
    MIT

    Notice

    « page-speed-score-simulator » (WHOISABHISHEKADHIKARI, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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