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Cloud cost optimization analysis v1.0.0

Use this resource to find AWS spending that can be reduced

New

  • 388 downloads
  • 193 likes
  • 159 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install cloud-cost-optimization-3

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 reviews resources and their usage, then ranks the possible savings by priority. You get a report of the areas to address and the suggested actions.

Mostly picked by

Updated November 2, 2026

Card for the “Cloud cost optimization analysis” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: cost audit method and analysis steps
  • SKILL.md: finding examples and output format

Good fit for

  • The AWS bill rose without a clear reason
  • You want an audit of unused resources before the annual budget

Not for

    Tags

    • aws
    • cloud costs
    • optimization
    • audit

    About

    You say

    “Analyze my AWS account costs for the last quarter and rank the possible savings.”

    Card for the “Cloud cost optimization analysis” 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 find AWS spending that can be reduced
    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/13-aws-skills/cost-optimization-analyzer
    Licence
    MIT

    Notice

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

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