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google-cloud-solution-architecture

Generates validated multi-product Google Cloud solution architectures through interactive requirements discovery.

Updated Jul 24, 2026
Search Tags:#validation#terraform#google cloud#solution architecture#requirements discovery#mermaid diagram#cloud design
One-click install
npx skills add https://github.com/oliverconstance/webapp-scrum-team --skill google-cloud-solution-architecture-oliverconstance
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: google-cloud-solution-architecture
Source: https://github.com/oliverconstance/webapp-scrum-team/tree/main/.agent/skills/google-cloud-solution-architecture
Command: npx skills add https://github.com/oliverconstance/webapp-scrum-team --skill google-cloud-solution-architecture-oliverconstance

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve? Designing a multi-product Google Cloud architecture requires gathering complete requirements, choosing among overlapping products, and validating the design before deployment. This Skill guides that entire process interactively, preventing premature product choices and unvalidated designs. ## Core Features & Use Cases - Structured Requirements Discovery: Collects functional and non-functional requirements, detects ambiguities and contradictions, and produces an approved technical decomposition before any design work. - Grounded Architecture Generation: Recommends Google Cloud products with citations to official documentation, then produces Mermaid architecture diagrams, descriptions, design recommendations, and deployment guidance. - Pre- and Post-Deployment Validation: Runs dry-run checks (e.g., terraform plan) and optional runtime verification commands before packaging everything into a solution-architecture-guide.md. - Use Case: A team migrating an on-premises analytics platform to Google Cloud uses this Skill to clarify requirements, select between BigQuery and alternatives, generate the architecture diagram, and validate the Terraform deployment plan. ## Quick Start Help me design a Google Cloud architecture for a real-time data analytics workload, starting from requirements discovery.

Frequently Asked Questions about google-cloud-solution-architecture

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a multi-product Google Cloud architecture?▼

Follow a phased workflow: gather functional and non-functional requirements, approve a technical decomposition, select products grounded in official documentation, then generate a Mermaid diagram, design recommendations, and deployment guidance with user approval at each step.

How to choose between Google Cloud products for a workload?▼

Check each product's release status via the Developer Knowledge MCP server, follow official decision guides for when to choose each option, recommend the most appropriate product, and present alternatives with pros and cons for user approval.

Can I skip requirements discovery if my architecture is already approved?▼

Yes. If the user indicates a phase is already completed or approved, such as confirmed requirements or product selection, the workflow skips directly to the requested task like generating diagrams or deployment guidance.

How do I validate a Google Cloud architecture before deployment?▼

Run static pre-deployment validation using dry-run commands like terraform plan or gcloud --dry-run, plus analysis of network routing, firewall rules, and IAM policies. Optionally deploy and run runtime checks with curl, ping, or gcloud.

When should I not use this solution architecture skill?▼

Avoid it when a specialized product-specific skill or a google-cloud-recipe skill directly addresses the workload. This skill targets holistic, multi-product designs rather than single-product or pre-packaged recipe scenarios.

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