Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Sign in
Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

A page, a video or an image online.

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

LLM application evaluation strategy v1.0.0

Use this resource to design an evaluation strategy for an LLM application

New

  • 589 downloads
  • 106 likes
  • 121 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-evaluation-strategy

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 builds an evaluation suite: test sets, automated metrics, an LLM judge and a human evaluation protocol. You get a reproducible measurement plan.

Mostly picked by

Updated November 2, 2026

Card for the “LLM application evaluation strategy” skill

Details

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

Similar resources

View all

What you get

  • SKILL.md: evaluation types and step-by-step start
  • SKILL.md: building test cases and running the suite

Good fit for

  • You change the model or prompt and want an objective comparison
  • Your application has no quality measure yet

Not for

    Tags

    • LLM evaluation
    • metrics
    • A/B testing
    • LLM judge

    About

    You say

    “Set up an evaluation for our support assistant: real questions, metrics and an LLM judge.”

    Card for the “LLM application evaluation strategy” skill

    Skill published by davila7 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 design an evaluation strategy for an LLM application
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md14.2 KB

    Origin and licence

    Listed unmodified

    Author
    davila7
    Source
    github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/ai-research/llm-evaluation
    Licence
    MIT

    Notice

    « llm-evaluation » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.