Frameworks

Best Google Cloud Agent Skills

43 Google Cloud skills for AI coding assistants — ranked by popularity.

This collection provides specific skills for AI agents to interact with Google Cloud infrastructure. These files define how your agent handles tasks like managing cloud functions, running gcloud commands, auditing security, or architecting multi-cloud environments. Whether you are automating deployments with the Agent Development Kit, optimizing monthly spend through cost analysis, or structuring infrastructure as code with Terraform, these skills turn your AI agent into a functional cloud engineer. These tools are built for developers and cloud architects who want to delegate repetitive operations to an automated assistant. Each skill focuses on a specific operational domain, ensuring your agent follows proven patterns for performance and cost efficiency. By integrating these skill files into your preferred environment—such as Claude Code, Codex, or Cursor—you establish a reliable bridge between your agent and your Google Cloud projects.

Top Google Cloud skills

cloud-cost-management

aj-geddes

Optimize and manage cloud costs across AWS, Azure, and GCP using reserved instances, spot pricing, and cost monitoring tools.

7119

terraform-module-library

wshobson

Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.

759

cloud-architect

sickn33

Expert cloud architect specializing in AWS/Azure/GCP multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns. Masters serverless, microservices, security, compliance, and disaster recovery. Use PROACTIVELY for cloud architecture, cost optimization, migration planning, or multi-cloud strategies.

649

cloud-penetration-testing

davila7

This skill should be used when the user asks to "perform cloud penetration testing", "assess Azure or AWS or GCP security", "enumerate cloud resources", "exploit cloud misconfigurations", "test O365 security", "extract secrets from cloud environments", or "audit cloud infrastructure". It provides comprehensive techniques for security assessment across major cloud platforms.

343

database-cloud-optimization-cost-optimize

sickn33

You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and implement cost-effective architectures across AWS, Azure, and GCP.

810

database-admin

sickn33

Expert database administrator specializing in modern cloud databases, automation, and reliability engineering. Masters AWS/Azure/GCP database services, Infrastructure as Code, high availability, disaster recovery, performance optimization, and compliance. Handles multi-cloud strategies, container databases, and cost optimization. Use PROACTIVELY for database architecture, operations, or reliability engineering.

16

genkit-infra-expert

jeremylongshore

Execute use when deploying Genkit applications to production with Terraform. Trigger with phrases like "deploy genkit terraform", "provision genkit infrastructure", "firebase functions terraform", "cloud run deployment", or "genkit production infrastructure". Provisions Firebase Functions, Cloud Run services, GKE clusters, monitoring dashboards, and CI/CD for AI workflows.

15

multi-cloud-architecture

wshobson

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.

33

gcloud-usage

fcakyon

This skill should be used when user asks about "GCloud logs", "Cloud Logging queries", "Google Cloud metrics", "GCP observability", "trace analysis", or "debugging production issues on GCP".

14

cloud-security-audit

Ed1s0nZ

云安全审计的专业技能和方法论

13

cost-optimization

wshobson

Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.

13

hybrid-cloud-architect

sickn33

Expert hybrid cloud architect specializing in complex multi-cloud solutions across AWS/Azure/GCP and private clouds (OpenStack/VMware). Masters hybrid connectivity, workload placement optimization, edge computing, and cross-cloud automation. Handles compliance, cost optimization, disaster recovery, and migration strategies. Use PROACTIVELY for hybrid architecture, multi-cloud strategy, or complex infrastructure integration.

22

firecrawl-deploy-integration

jeremylongshore

Deploy FireCrawl integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying FireCrawl-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy firecrawl", "firecrawl Vercel", "firecrawl production deploy", "firecrawl Cloud Run", "firecrawl Fly.io".

12

network-engineer

sickn33

Expert network engineer specializing in modern cloud networking, security architectures, and performance optimization. Masters multi-cloud connectivity, service mesh, zero-trust networking, SSL/TLS, global load balancing, and advanced troubleshooting. Handles CDN optimization, network automation, and compliance. Use PROACTIVELY for network design, connectivity issues, or performance optimization.

11

evernote-deploy-integration

jeremylongshore

Deploy Evernote integrations to production environments. Use when deploying to cloud platforms, configuring production, or setting up deployment pipelines. Trigger with phrases like "deploy evernote", "evernote production deploy", "release evernote", "evernote cloud deployment".

01

exa-deploy-integration

jeremylongshore

Deploy Exa integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying Exa-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy exa", "exa Vercel", "exa production deploy", "exa Cloud Run", "exa Fly.io".

01

maintainx-reference-architecture

jeremylongshore

Production-grade architecture patterns for MaintainX integrations. Use when designing system architecture, planning integrations, or building enterprise-scale MaintainX solutions. Trigger with phrases like "maintainx architecture", "maintainx design", "maintainx system design", "maintainx enterprise", "maintainx patterns".

01

performance-engineer

sickn33

Expert performance engineer specializing in modern observability, application optimization, and scalable system performance. Masters OpenTelemetry, distributed tracing, load testing, multi-tier caching, Core Web Vitals, and performance monitoring. Handles end-to-end optimization, real user monitoring, and scalability patterns. Use PROACTIVELY for performance optimization, observability, or scalability challenges.

10

prowler-sdk-check

prowler-cloud

Creates Prowler security checks following SDK architecture patterns. Trigger: When creating or updating a Prowler SDK security check (implementation + metadata) for any provider (AWS, Azure, GCP, K8s, GitHub, etc.).

10

skypilot-multi-cloud-orchestration

davila7

Multi-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instances with auto-recovery, or optimize GPU costs across providers.

10

architecture-design

thomast1906

Design Azure cloud architectures from requirements and generate High-Level Design (HLD) documentation with service selection, patterns, cost estimates, and WAF alignment. Use this when asked to design or architect Azure solutions.

00

internal-gcp-organization-structure

pagopa

Use when the user needs Google Cloud control-plane or platform-structure guidance for org or folder layout, billing-account model, project segmentation, Shared VPC host and service project topology, environment segmentation, platform-level network structure, or other layout decisions that shape how

00

huawei-event-driven-architecture-review

Raishin

Review Huawei Cloud event-driven architecture designs — DMS Kafka dead-letter configuration, ROMA Connect integration flow capacity, FunctionGraph event trigger idempotency, SMN delivery retry policy, consumer group lag monitoring, cross-region event replication, and retry storm prevention.

00

building-cloud-siem-with-sentinel

26zl

This skill covers deploying Microsoft Sentinel as a cloud-native SIEM

00

How to choose a Google Cloud skill

Select a skill based on the specific operational outcome you need. Look at the skill's scope: does it focus on direct CLI interaction like google-cloud, or higher-level tasks like infrastructure architecture or financial optimization? Check the maintenance context to see if it targets specific frameworks like Terraform or broader strategies like FinOps. Consider whether you need a narrow tool for a single function or a broader framework for orchestrating multiple agents. Pick the skill that maps directly to the constraints and goals of your current cloud project.

More Google Cloud skills

Frequently asked

Can I combine multiple skills for a single agent?
Yes. You can stack these skills to give your agent a broader range of capabilities. For instance, you could pair the google-cloud skill for resource management with the optimizing-cloud-costs skill to handle both infrastructure deployment and financial oversight. Ensure your agent's configuration supports the combined instruction sets before execution.
How do these skills differ from generic cloud automation?
These skills are structured as agent-ready configuration files. Unlike generic documentation, they provide defined behaviors for AI models to follow within development environments like Cursor. They convert complex tasks, such as penetration testing or Terraform module creation, into actionable instructions that an AI agent can execute against your Google Cloud environment.

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