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Database Cloud Optimization Cost Optimize

Listed
sickn33·vlatest·database·MIT

Helps with database, optimization as part of working with databases and data persistence workflows.

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 sickn33/agentic-awesome-skills --skill database-cloud-optimization-cost-optimize -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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/database-cloud-optimization-cost-optimize/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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.
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About this skill

The database-cloud-optimization-cost-optimize skill enables AI agents to analyze cloud database configurations and generate actionable recommendations for reducing infrastructure expenses. It specifically targets resource allocation inefficiencies, storage over-provisioning, and unused compute instances within managed database services.

When to use it

  • Reducing monthly bills for over-provisioned production databases running on reserved capacity.
  • Identifying idle or underutilized development/test environments that can be scaled down or shut off.
  • Optimizing storage costs by analyzing data lifecycle policies and archiving strategies.
  • Evaluating instance type mismatches where current hardware exceeds actual query performance needs.

Key capabilities

  • Analyzes current cloud database resource utilization metrics.
  • Generates specific cost-saving recommendations based on usage patterns.
  • Identifies opportunities for rightsizing instances and storage tiers.
  • Highlights unused resources contributing to unnecessary spend.

Example prompts

  • "Analyze our PostgreSQL cluster costs and suggest ways to reduce monthly spending without impacting performance."
  • "Identify any idle database instances in our AWS environment that we can terminate to save money."
  • "Review our current storage allocation for MongoDB and recommend a more cost-effective tiering strategy."

Tips & gotchas

Ensure the AI agent has access to read-only monitoring data or billing reports, as it cannot directly modify infrastructure without explicit permission. Always validate generated recommendations against performance benchmarks before implementing changes to avoid service disruptions.