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Infrastructure Cost Optimization

Checked
aj-geddes·vlatest·cloud·MIT

Analyzes cloud infrastructure usage to identify and recommend cost-saving adjustments without impacting performance.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add aj-geddes/useful-ai-prompts --skill infrastructure-cost-optimization -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

aj-geddes

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned aj-geddes/useful-ai-prompts at 3f5182cfd7.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3f5182cfd7
Manifest
skills/infrastructure-cost-optimization/SKILL.md
Scanned
6 files, 502 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

infrastructure-cost-optimization

What it does

This skill enables AI agents to analyze cloud resource usage patterns and generate actionable recommendations for reducing monthly bills. It specifically targets over-provisioned instances, idle storage, and inefficient architectural choices within your infrastructure stack.

When to use it

  • Monthly bill spikes: You notice a sudden increase in cloud spending and need an immediate audit of recent changes.
  • Right-sizing workloads: Your team has scaled up resources for peak traffic but needs guidance on downsizing for baseline usage.
  • Storage cleanup: You suspect you have orphaned volumes or unattached disks accumulating unnecessary costs.
  • Architecture review: Before launching a new project, you want to ensure the proposed design follows cost-efficient best practices.

Key capabilities

  • Identifies underutilized compute instances (e.g., low CPU/memory usage).
  • Detects idle storage volumes and snapshots that are not actively in use.
  • Recommends switching from on-demand pricing models to reserved or spot instances where appropriate.
  • Suggests architectural changes to reduce resource redundancy.

Example prompts

  • "Analyze my AWS bill for the last month and list the top 5 resources consuming the most money."
  • "Identify any idle EC2 instances or unattached EBS volumes in my Azure subscription that can be deleted."
  • "Propose a cost-optimized architecture for a new microservices deployment using Google Cloud Platform."

Tips & gotchas

Ensure your AI agent has read-only access to billing data and resource tags before running this skill to avoid accidental deletions. Always verify recommendations manually, as some cost-saving measures (like spot instances) may impact application stability if not configured correctly.