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Multi Cloud Architecture

Listed
sickn33·vlatest·cloud·MIT

This skill designs and optimizes multi-cloud architectures for enhanced resilience, cost savings, and workload distribution across diverse cloud environments.

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 multi-cloud-architecture -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/multi-cloud-architecture/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.
What each check looks for →

About this skill

What it does

This skill assists in designing and optimizing multi-cloud architectures, enabling you to build resilient systems and distribute workloads across AWS, Azure, and GCP. It provides a decision framework and patterns for architecting applications that are not tied to a specific cloud provider. The skill leverages best practices and offers actionable steps with verification guidance, and can provide detailed implementation examples via the resources/implementation-playbook.md file.

When to use it

  • Designing multi-cloud strategies.
  • Planning migrations between different cloud providers.
  • Selecting appropriate cloud services for specific workloads.
  • Implementing architectures that are not dependent on a single cloud provider.
  • Optimizing costs across multiple cloud providers.

Key capabilities

  • Provides a decision framework for multi-cloud architecture design.
  • Offers patterns and best practices for building cloud-agnostic applications.
  • Includes a comparison of compute, storage, and database services across AWS, Azure, and GCP (with more detailed information available in references/service-comparison.md).
  • Provides actionable steps and verification guidance.

Example prompts

  • "Design a multi-cloud strategy for migrating our application from AWS to Azure."
  • "What are the best compute services across AWS, Azure, and GCP for running containerized applications?"
  • "Recommend cloud services for a workload requiring distributed SQL capabilities."

Tips & gotchas

  • Clearly define your goals, constraints, and required inputs before using this skill.
  • This skill is specifically focused on multi-cloud architecture; avoid using it for unrelated tasks or when needing tools outside of this scope.
  • For detailed implementation guidance, consult the resources/implementation-playbook.md file.