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.

Cut LLM costs: models, caching, tracking v1.0.0

Use this resource to reduce LLM costs through model choice, caching and spend tracking

New

  • 531 downloads
  • 160 likes
  • 148 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-spend-cost-routing

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 measures your spend per model and per team, then applies the levers by impact: model choice, caching, prompt optimization, batching and complexity-based routing. You get a reduction plan based on your own calls, and budget tracking.

Mostly picked by

Updated November 2, 2026

Card for the “Cut LLM costs: models, caching, tracking” skill

Details

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

Similar resources

View all

What you get

  • SKILL.md : levers ranked by impact and cost tracking
  • SKILL.md : complexity-based routing and a model price comparison

Good fit for

  • Your API spend is growing faster than your revenue
  • You need to split AI costs between teams or customers

Not for

    Tags

    • cost
    • llm
    • routing
    • budget

    About

    You say

    “Analyze our application's LLM spend and suggest the three most profitable levers.”

    Card for the “Cut LLM costs: models, caching, tracking” skill

    Skill published by bagelhole 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 LLM costs through model choice, caching and spend tracking
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md9.1 KB

    Origin and licence

    Listed unmodified

    Author
    bagelhole
    Source
    github.com/bagelhole/devops-security-agent-skills/tree/0365f57a079b1332f95cf26e31dd2d5332a8399f/devops/ai/llm-cost-optimization
    Licence
    MIT

    Notice

    « llm-cost-optimization » (bagelhole, 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.