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Apdex score calculation v1.0.0

Use this resource to calculate the Apdex score of a service

New

  • 499 downloads
  • 220 likes
  • 167 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install apdex-score-calculation

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 helps you compute your service's Apdex score from your thresholds and response times, then read it. You get a step-by-step method with examples and expected output.

Mostly picked by

Updated November 2, 2026

Card for the “Apdex score calculation” skill

Details

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

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What you get

  • SKILL.md: step-by-step calculation method
  • SKILL.md: examples and expected output

Good fit for

  • You want a user-satisfaction indicator based on response times
  • You must track service quality on a dashboard

Not for

    Tags

    • apdex
    • performance
    • satisfaction
    • indicator

    About

    You say

    “Calculate the Apdex score of my API with a satisfying threshold at 300 ms.”

    Card for the “Apdex score calculation” 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 calculate the Apdex score of a service
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.6 KB
    • SKILL.md2.3 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/10-performance-testing/apdex-score-calculator
    Licence
    MIT

    Notice

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

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