arckit-gcp-research

Research Google Cloud services and architecture patterns using Google Developer Knowledge MCP.

2.1k|266|Updated Oct 14, 2025
One-click install
npx skills add https://github.com/tractorjuice/arc-kit --skill arckit-gcp-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: arckit-gcp-research
Source: https://github.com/tractorjuice/arc-kit/tree/main/arckit-codex/skills/arckit-gcp-research
Command: npx skills add https://github.com/tractorjuice/arc-kit --skill arckit-gcp-research

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps enterprise architects research and document Google Cloud Platform services, architecture patterns, and implementation guidance to meet project requirements.

Core Features & Use Cases

  • Service Discovery: Identifies optimal Google Cloud services based on project requirements.
  • Authoritative Documentation: Leverages Google Developer Knowledge MCP for accurate and up-to-date information.
  • Architecture Assessment: Evaluates services against the Google Cloud Architecture Framework and Security Command Center controls.
  • Cost Estimation: Provides cost breakdowns and optimization recommendations.
  • Diagram Generation: Creates Mermaid diagrams of proposed architectures.
  • Use Case: A project requires a scalable, secure, and cost-effective solution for data analytics on Google Cloud. This Skill will research BigQuery, Dataproc, and related services, assess them against security and cost best practices, and generate a research document and architecture diagram.

Quick Start

Use the arckit-gcp-research skill to research Google Cloud services for a new project, focusing on compute and data storage requirements.

Frequently Asked Questions about arckit-gcp-research

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

FAQPage Schema
How do I research Google Cloud services for a new project architecture?

You can research Google Cloud services by matching project requirements to specific GCP offerings, assessing them against the Architecture Framework, checking regional availability, and estimating costs. This process generates a comprehensive research document and architecture diagrams.

What is the best way to evaluate Google Cloud services for security and cost?

Evaluating Google Cloud services involves assessing options against the Google Cloud Architecture Framework and Security Command Center controls. This approach provides cost breakdowns, optimization recommendations, and ensures proposed patterns meet security best practices.

Does Google Cloud research include cost estimation and regional availability checks?

Google Cloud research includes cost estimation and regional availability checks. It provides cost breakdowns, optimization recommendations, and verifies service availability across regions to ensure the proposed architecture meets project constraints.

How do I document Google Cloud architecture patterns and service choices?

Documenting Google Cloud architecture patterns involves leveraging authoritative guidance from Google Developer Knowledge to generate Mermaid diagrams and comprehensive research documents detailing matched services, security assessments, and cost estimates.

Can I generate architecture diagrams automatically for Google Cloud projects?

Generating architecture diagrams automatically for Google Cloud projects is supported. It creates Mermaid diagrams of proposed architectures alongside a comprehensive research document covering service discovery and cost estimates.

What are the limitations of researching Google Cloud services with automated tools?

Researching Google Cloud services with automated tools relies on Google Developer Knowledge for authoritative guidance. It focuses on matching requirements to specific services, assessing the Architecture Framework, and estimating costs, but requires clear project requirements for accurate service discovery.