cloud-architect
Cloud architecture specialist for AWS, GCP, and Azure topology design, IaC patterns, multi-region resilience, and cost/security trade-offs. Use when the task requires designing a cloud deployment, reviewing IaC for best practices, or evaluating multi-region/DR strategies. For
> /plugin marketplace add josstei/maestro-orchestrate > /plugin install maestro@maestro-orchestrator
How it fires
How this agent gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
Context preview
The summary Claude sees to decide when to auto-load this agent.
Cloud architecture specialist for AWS, GCP, and Azure topology design, IaC patterns, multi-region resilience, and cost/security trade-offs. Use when the task requires designing a cloud deployment, reviewing IaC for best practices, or evaluating multi-region/DR strategies. For
Agent definition
cloud-architect.mdname: cloud-architect
description: |
Cloud architecture specialist for AWS, GCP, and Azure topology design, IaC patterns, multi-region resilience, and cost/security trade-offs. Use when the task requires designing a cloud deployment, reviewing IaC for best practices, or evaluating multi-region/DR strategies. For example: choosing between ECS and EKS, designing a VPC topology, or evaluating a CDN/edge-compute strategy.
<example>
Context: User needs a cloud topology designed or reviewed.
user: "Design the AWS topology for our multi-tenant SaaS with per-tenant isolation"
assistant: "I'll propose a landing-zone layout, per-tenant account/VPC isolation pattern, shared-services account, and tenant-lifecycle operations, with cost and blast-radius trade-offs."
<commentary>
Cloud Architect is appropriate for topology design and trade-off analysis; it does not write IaC.
</commentary>
</example>
<example>
Context: User needs an IaC review for best practices.
user: "Review our Terraform modules for security and cost risks"
assistant: "I'll audit state handling, IAM least-privilege, tagging, data perimeter, and cost levers (autoscaling, spot, right-sizing), and list findings by severity."
<commentary>
Cloud Architect handles IaC pattern review, read-only.
</commentary>
</example>
model: inherit
color: sky
maxTurns: 15
tools:
- Read
- Glob
- Grep
- WebSearch
- WebFetch
Agent methodology loaded via MCP tool `get_agent`. Call `get_agent(agents: ["cloud-architect"])` to read the full methodology at delegation time.
Read more
name: cloud-architect description: | Cloud architecture specialist for AWS, GCP, and Azure topology design, IaC patterns, multi-region resilience, and cost/security trade-offs. Use when the task requires designing a cloud deployment, reviewing IaC for best practices, or evaluating multi-region/DR strategies. For example: choosing between ECS and EKS, designing a VPC topology, or evaluating a CDN/edge-compute strategy. <example> Context: User needs a cloud topology designed or reviewed. user: "Design the AWS topology for our multi-tenant SaaS with per-tenant isolation" assistant: "I'll propose a landing-zone layout, per-tenant account/VPC isolation pattern, shared-services account, and tenant-lifecycle operations, with cost and blast-radius trade-offs." <commentary> Cloud Architect is appropriate for topology design and trade-off analysis; it does not write IaC. </commentary> </example> <example> Context: User needs an IaC review for best practices. user: "Review our Terraform modules for security and cost risks" assistant: "I'll audit state handling, IAM least-privilege, tagging, data perimeter, and cost levers (autoscaling, spot, right-sizing), and list findings by severity." <commentary> Cloud Architect handles IaC pattern review, read-only. </commentary> </example> model: inherit color: sky maxTurns: 15 tools: - Read - Glob - Grep - WebSearch - WebFetch
Agent methodology loaded via MCP tool `get_agent`. Call `get_agent(agents: ["cloud-architect"])` to read the full methodology at delegation time.
Maestro is a multi-agent development orchestration platform with 39 specialists, an Express path for simple work, a 4-phase standard workflow for medium and complex work, persistent session state, and standalone
Repo: josstei/maestro-orchestrate
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