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AI models: choosing by task and cost v1.0.0

Use this resource to choose the AI model that fits a task, a cost and a latency

New

  • 595 downloads
  • 122 likes
  • 141 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ai-models-selection-reference

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 compares models from several providers on reasoning, speed, code, vision or voice, and explains cost and latency trade-offs. Warning: the reference is dated December 2025 and should be checked before use.

Mostly picked by

Updated November 2, 2026

Card for the “AI models: choosing by task and cost” skill

Details

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

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What you get

  • SKILL.md: choice matrix by task type
  • SKILL.md: models by provider and call examples

Good fit for

  • You need to pick a model for a new AI flow
  • You compare the cost and latency of two providers

Not for

    Tags

    • models
    • claude
    • openai
    • comparison

    About

    You say

    “Which model should I use to summarise thousands of customer records at the lowest cost?”

    Card for the “AI models: choosing by task and cost” skill

    Skill published by alinaqi 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 choose the AI model that fits a task, a cost and a latency
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.4 KB
    • SKILL.md17.2 KB

    Origin and licence

    Listed unmodified

    Author
    alinaqi
    Source
    github.com/alinaqi/maggy/tree/55aabe2493627e1de9cd09459d555181d66f3111/skills/ai-models
    Licence
    MIT

    Notice

    « ai-models » (alinaqi, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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