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LLM API and infrastructure cost reduction v1.0.0

Use this resource to reduce the cost of a service that calls LLM APIs

New

  • 380 downloads
  • 210 likes
  • 195 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-cost-reduction-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 first tracks costs per model, then weighs the levers: model choice by task, caching, batching, quantisation or self-hosting, measuring quality before claiming any saving. You get a costed estimate to check against current prices.

Mostly picked by

Updated November 2, 2026

Card for the “LLM API and infrastructure cost reduction” skill

Details

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

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What you get

  • SKILL.md: levers ranked by impact and cost tracking
  • SKILL.md: routing by task complexity and limits of the estimates

Good fit for

  • Your AI API bill grows faster than revenue
  • You want to attribute AI costs to each customer

Not for

    Tags

    • llm
    • cost
    • caching
    • api

    About

    You say

    “Analyse my LLM API bill and suggest the three safest savings, measured on a test set.”

    Card for the “LLM API and infrastructure cost reduction” skill

    Skill published by sickn33 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 reduce the cost of a service that calls LLM APIs
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md11.1 KB

    Origin and licence

    Listed unmodified

    Author
    sickn33
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/llm-cost-optimization
    Licence
    MIT

    Notice

    « llm-cost-optimization » (sickn33, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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