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/google-cloud-solution-architecture

@6359c7c
by googlegoogle/skills21k stars
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Interactively discovers requirements and designs holistic, multi-product system architectures, solution blueprints, and deployment recommendations for complex workloads on Google Cloud. Use when designing end-to-end cloud solutions, selecting and integrating Google Cloud services, generating architecture diagrams, or conducting requirements discovery for new cloud workloads or migrations. Don't use for single-product tasks (use product-specific skills), initial onboarding or authentication (use google-cloud-recipe-*), Well-Architected Framework reviews or audits (use google-cloud-waf-*), or workloads covered by specialized solution skills.

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Use this Skill: https://skilld.dev/gh/google/skills/google-cloud-solution-architecture

This session only. Nothing lands on disk.

referencesbest-practices-guides.md

≈4.4k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Product-specific best practices guides

Product Line hints
Best practices covering multiple products Lines 31-34
AI Hypercomputer Lines 35-38
AlloyDB Lines 39-46
Backup and Disaster Recovery (DR) Service Lines 47-55
BigQuery Lines 56-70
Cloud Armor Lines 71-74
Cloud Load Balancing Lines 75-78
Cloud Run Lines 79-91
Cloud Service Mesh Lines 92-102
Cloud SQL Lines 103-116
Cloud Storage Lines 117-123
Compute Engine Lines 124-142
Gemini Enterprise Agent Platform Lines 143-151
Google Kubernetes Engine (GKE) Lines 152-176
Identity and Access Management (IAM) Lines 177-186
Managed Service for Apache Spark Lines 187-191
Memorystore Lines 192-200
Migration Lines 201-205
Network Connectivity Lines 206-211
Observability in Google Cloud Lines 212-220
Pub/Sub Lines 221-226
Security Command Center Lines 227-231
Security Lines 232-249
Spanner Lines 250-264
VPC Service Controls Lines 265-268

<a id="multiple-products"></a>Best practices covering multiple products

<a id="ai-hypercomputer"></a>AI Hypercomputer

<a id="alloydb"></a>AlloyDB

<a id="backup-and-disaster-recovery-dr-service"></a>Backup and Disaster Recovery (DR) Service

<a id="bigquery"></a>BigQuery

<a id="cloud-armor"></a>Cloud Armor

<a id="cloud-load-balancing"></a>Cloud Load Balancing

<a id="cloud-run"></a>Cloud Run

<a id="cloud-service-mesh"></a>Cloud Service Mesh

<a id="cloud-sql"></a>Cloud SQL

<a id="cloud-storage"></a>Cloud Storage

<a id="compute-engine"></a>Compute Engine

<a id="gemini-enterprise-agent-platform"></a>Gemini Enterprise Agent Platform

<a id="google-kubernetes-engine-gke"></a>Google Kubernetes Engine (GKE)

<a id="identity-and-access-management-iam"></a>Identity and Access Management (IAM)

<a id="managed-service-for-apache-spark"></a>Managed Service for Apache Spark

<a id="memorystore"></a>Memorystore

<a id="migration"></a>Migration

<a id="network-connectivity"></a>Network Connectivity

<a id="observability-in-google-cloud"></a>Observability in Google Cloud

<a id="pub-sub"></a>Pub/Sub

<a id="security-command-center"></a>Security Command Center

<a id="security"></a>Security

<a id="spanner"></a>Spanner

<a id="vpc-service-controls"></a>VPC Service Controls

Source: SKILL.md on GitHub

Third-party checks

No alertstoday3 checks · Risk SAFE
  • Gen Agent Trust Hubtoday

    This skill provides a structured workflow for designing Google Cloud architectures, utilizing official Google documentation and tools for grounding. It includes proactive security considerations, such as requiring user authorization for all script executions and validation steps.

  • Sockettoday

    No alerts

  • Snyktoday

    Risk: LOW · No issues

Provenance

Signed by skilld at 6359c7c. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated last week

Capability

metadata
{
  "version": "1.0.2",
  "category": "MultiProductSolutions"
}

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