Agent skill

Multi Cloud Architecture

by HermeticOrmus in HermeticOrmus/LibreUIUX-Claude-Code

Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP.

MITAuto-check passedDevOps & Cloud

Install Multi Cloud Architecture

skills CLI
$ npx skills add HermeticOrmus/LibreUIUX-Claude-Code --skill multi-cloud-architecture -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install HermeticOrmus/LibreUIUX-Claude-Code multi-cloud-architecture --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/HermeticOrmus/LibreUIUX-Claude-Code.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/cloud-infrastructure/skills/multi-cloud-architecture .claude/skills/multi-cloud-architecture && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
multi-cloud-architecture
GitHub stars
111
Used in
10 other repos
Token cost
~1.2k tokens
SKILL.md length
467 words
Files
1
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP.

  • Works in 4 steps: Assessment → Pilot → Migration → …
  • Building multi-cloud systems
  • SKILL.md covers Purpose, When to Use, Cloud Service Comparison and Multi-Cloud Patterns, plus 6 more sections
  • Calls aws

What it does

Multi Cloud Architecture is an agent skill from HermeticOrmus/LibreUIUX-Claude-Code. Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Cloud architecture. It works with Microsoft Azure, Amazon Web Services, Google Cloud and SQL. The repository describes itself as: UI/UX system for Claude Code: 71 plugins, 93 agents, 74 skills. Design mastery, archetypal design, accessibility, and frontend workflows in one validated plugin marketplace. The licence is MIT.

When your agent uses it

  • Building multi-cloud systems
  • Avoiding vendor lock-in
  • Leveraging best-of-breed services from multiple providers

Example prompts

  • “/multi-cloud-architecture”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Assessment
  2. Pilot
  3. Migration
  4. Optimization

What it can do on your machine

Read from SKILL.md and the folder at commit 41a968c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • aws

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use aws, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Multi Cloud Architecture loads about 1.2k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 467 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from HermeticOrmus/LibreUIUX-Claude-Code at commit 41a968c, republished under its MIT licence (© HermeticOrmus). 467 words, ~1,210 tokens.

Download SKILL.mdSave it as .claude/skills/multi-cloud-architecture/SKILL.md (or your agent's skills folder).
name
multi-cloud-architecture
description
Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.

Multi-Cloud Architecture

Decision framework and patterns for architecting applications across AWS, Azure, and GCP.

Purpose

Design cloud-agnostic architectures and make informed decisions about service selection across cloud providers.

When to Use

  • Design multi-cloud strategies
  • Migrate between cloud providers
  • Select cloud services for specific workloads
  • Implement cloud-agnostic architectures
  • Optimize costs across providers

Cloud Service Comparison

Compute Services
AWSAzureGCPUse Case
EC2Virtual MachinesCompute EngineIaaS VMs
ECSContainer InstancesCloud RunContainers
EKSAKSGKEKubernetes
LambdaFunctionsCloud FunctionsServerless
FargateContainer AppsCloud RunManaged containers
Storage Services
AWSAzureGCPUse Case
S3Blob StorageCloud StorageObject storage
EBSManaged DisksPersistent DiskBlock storage
EFSAzure FilesFilestoreFile storage
GlacierArchive StorageArchive StorageCold storage
Database Services
AWSAzureGCPUse Case
RDSSQL DatabaseCloud SQLManaged SQL
DynamoDBCosmos DBFirestoreNoSQL
AuroraPostgreSQL/MySQLCloud SpannerDistributed SQL
ElastiCacheCache for RedisMemorystoreCaching

Reference: See references/service-comparison.md for complete comparison

Multi-Cloud Patterns

Pattern 1: Single Provider with DR
  • Primary workload in one cloud
  • Disaster recovery in another
  • Database replication across clouds
  • Automated failover
Pattern 2: Best-of-Breed
  • Use best service from each provider
  • AI/ML on GCP
  • Enterprise apps on Azure
  • General compute on AWS
Pattern 3: Geographic Distribution
  • Serve users from nearest cloud region
  • Data sovereignty compliance
  • Global load balancing
  • Regional failover
Pattern 4: Cloud-Agnostic Abstraction
  • Kubernetes for compute
  • PostgreSQL for database
  • S3-compatible storage (MinIO)
  • Open source tools

Cloud-Agnostic Architecture

Use Cloud-Native Alternatives
  • Compute: Kubernetes (EKS/AKS/GKE)
  • Database: PostgreSQL/MySQL (RDS/SQL Database/Cloud SQL)
  • Message Queue: Apache Kafka (MSK/Event Hubs/Confluent)
  • Cache: Redis (ElastiCache/Azure Cache/Memorystore)
  • Object Storage: S3-compatible API
  • Monitoring: Prometheus/Grafana
  • Service Mesh: Istio/Linkerd
Abstraction Layers
Application Layer
    ↓
Infrastructure Abstraction (Terraform)
    ↓
Cloud Provider APIs
    ↓
AWS / Azure / GCP

Cost Comparison

Show full SKILL.md (193 more words)Show less
Compute Pricing Factors
  • AWS: On-demand, Reserved, Spot, Savings Plans
  • Azure: Pay-as-you-go, Reserved, Spot
  • GCP: On-demand, Committed use, Preemptible
Cost Optimization Strategies
  1. Use reserved/committed capacity (30-70% savings)
  2. Leverage spot/preemptible instances
  3. Right-size resources
  4. Use serverless for variable workloads
  5. Optimize data transfer costs
  6. Implement lifecycle policies
  7. Use cost allocation tags
  8. Monitor with cloud cost tools

Reference: See references/multi-cloud-patterns.md

Migration Strategy

Phase 1: Assessment
  • Inventory current infrastructure
  • Identify dependencies
  • Assess cloud compatibility
  • Estimate costs
Phase 2: Pilot
  • Select pilot workload
  • Implement in target cloud
  • Test thoroughly
  • Document learnings
Phase 3: Migration
  • Migrate workloads incrementally
  • Maintain dual-run period
  • Monitor performance
  • Validate functionality
Phase 4: Optimization
  • Right-size resources
  • Implement cloud-native services
  • Optimize costs
  • Enhance security

Best Practices

  1. Use infrastructure as code (Terraform/OpenTofu)
  2. Implement CI/CD pipelines for deployments
  3. Design for failure across clouds
  4. Use managed services when possible
  5. Implement comprehensive monitoring
  6. Automate cost optimization
  7. Follow security best practices
  8. Document cloud-specific configurations
  9. Test disaster recovery procedures
  10. Train teams on multiple clouds

Reference Files

  • references/service-comparison.md - Complete service comparison
  • references/multi-cloud-patterns.md - Architecture patterns
  • terraform-module-library - For IaC implementation
  • cost-optimization - For cost management
  • hybrid-cloud-networking - For connectivity

© HermeticOrmus, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/cloud-infrastructure/skills/multi-cloud-architecture of HermeticOrmus/LibreUIUX-Claude-Code.

Open the folder on GitHubat commit 41a968c

Used in 10 other repositories

We found 23 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 10 other GitHub owners. This page covers the copy in HermeticOrmus/LibreUIUX-Claude-Code, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Multi Cloud Architecture next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Multi Cloud Architecture compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Multi Cloud Architecture this skillHermeticOrmus/LibreUIUX-Claude-Code11110 repos~1.2kAutomated safety check: PassMIT
Multi Cloud Architecturewshobson/agents40k—~1.4kAutomated safety check: PassMIT
Heroku To AWSaws/agent-toolkit-for-aws2.8k—~7.2kAutomated safety check: PassApache-2.0
Hybrid Cloud Architectaiskillstore/marketplace4306 repos~2.5kAutomated safety check: PassNone
Infrastructure Devops Cloud Architectchendongqi/OPB-Skills125—~1.1kAutomated safety check: PassNone
Cloud Cost Optimizationwshobson/agents40k13 repos~1.7kAutomated safety check: PassMIT

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Categories

Questions about Multi Cloud Architecture

What does Multi Cloud Architecture do?

Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Multi Cloud Architecture is an agent skill from HermeticOrmus/LibreUIUX-Claude-Code. Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP.

When should I use Multi Cloud Architecture?

Multi Cloud Architecture fits situations like: building multi-cloud systems; avoiding vendor lock-in; leveraging best-of-breed services from multiple providers.

How do I install Multi Cloud Architecture in Claude Code?

Run `npx skills add HermeticOrmus/LibreUIUX-Claude-Code --skill multi-cloud-architecture -a claude-code`. Or copy the skill folder (plugins/cloud-infrastructure/skills/multi-cloud-architecture in HermeticOrmus/LibreUIUX-Claude-Code) into .claude/skills/multi-cloud-architecture in your project. Claude Code loads it when a task matches its description.

How do I install Multi Cloud Architecture in Codex?

Run `npx skills add HermeticOrmus/LibreUIUX-Claude-Code --skill multi-cloud-architecture -a codex`. Or copy the skill folder (plugins/cloud-infrastructure/skills/multi-cloud-architecture in HermeticOrmus/LibreUIUX-Claude-Code) into .agents/skills/multi-cloud-architecture in your project. Codex loads it when a task matches its description.

Can I use Multi Cloud Architecture in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HermeticOrmus/LibreUIUX-Claude-Code --skill multi-cloud-architecture -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/multi-cloud-architecture, .gemini/skills/multi-cloud-architecture, .github/skills/multi-cloud-architecture and .opencode/skills/multi-cloud-architecture in your project.

What does Multi Cloud Architecture need to run?

Going by SKILL.md and its folder, Multi Cloud Architecture needs the command-line tools its instructions call (aws).

Does Multi Cloud Architecture access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Multi Cloud Architecture safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Multi Cloud Architecture use?

Multi Cloud Architecture is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Multi Cloud Architecture use?

About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Multi Cloud Architecture?

Skills that share tags, products or a category with Multi Cloud Architecture: Multi Cloud Architecture (wshobson/agents, 40k stars), Heroku To AWS (aws/agent-toolkit-for-aws, 2.8k stars), Hybrid Cloud Architect (aiskillstore/marketplace, 430 stars) and Infrastructure Devops Cloud Architect (chendongqi/OPB-Skills, 125 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Multi Cloud Architecture?

HermeticOrmus (a GitHub user) maintains it in HermeticOrmus/LibreUIUX-Claude-Code, which has 111 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 4, 2026.

Source: HermeticOrmus/LibreUIUX-Claude-Code on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.