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Prepare a local Terraform environment by checking installation, choosing a macOS or Linux installation method, initializing configuration folders, and validating files. It also addresses plugin download failures and common initialization errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Install Terraform for the first time
• Fix a missing terraform command
• Initialize and validate a folder containing .tf files

Design and review infrastructure managed with Terraform or OpenTofu. Get guidance on reusable modules, testing choices, automated deployment workflows, and security checks, with approaches suited to different software versions and the cost of running tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing reusable infrastructure modules
• Choosing infrastructure testing methods
• Setting up automated infrastructure deployment

Use Stratus Red Team to simulate attack techniques across AWS, Azure, GCP, and Kubernetes. Prepare test resources, run and repeat simulations, check logs and alerts, and remove resources to assess whether security detections work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether cloud detection rules trigger
• Testing log ingestion and alert routing
• Running joint attack and defense exercises

Configure AWS Verified Access for VPN-free access to internal applications. Combine user identity and device security checks, write Cedar access policies, and use Terraform and AWS RAM to deploy and share access controls across AWS accounts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Replacing VPN access to internal applications
• Writing policies based on users and device security
• Deploying Verified Access with Terraform

Set up Havoc infrastructure for authorized attack simulations, including its command server, traffic listeners, Nginx relay servers, and Windows agents. The skill also covers communication profiles and operational precautions for running the infrastructure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing Havoc infrastructure for an authorized exercise
• Reviewing server and traffic relay separation
• Configuring communication profiles for an exercise

Audit Terraform infrastructure definitions and planned changes for excessive permissions, public exposure, and missing encryption. Use security scanners and custom rules to produce actionable findings and add automated checks before cloud infrastructure is deployed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing Terraform modules and plans before deployment
• Adding security checks to Terraform CI/CD pipelines
• Enforcing organization-specific infrastructure rules

Improve resumes for software engineering, technical product management, data, and DevOps roles. Organize technical skills, connect achievements to business results, and highlight projects in a format suited to applicant tracking systems, software used to process job applications, and recruiters.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organize technical skills for a target role
• Rewrite experience to show technical and business impact
• Choose projects to highlight during a career change

Plan database, service, and infrastructure migrations with phased steps, compatibility checks, and rollback procedures for returning to the previous system. Define risks and validation checkpoints to guide transitions with minimal disruption to business operations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning a database schema migration
• Checking API changes for compatibility
• Preparing a phased cloud migration

Review cloud permissions, public storage access, network rules, and infrastructure definitions for security gaps. The skill helps identify risky configurations, rank findings by severity, and suggest narrower permissions, with fuller coverage for AWS than Azure or GCP.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing cloud settings before deployment
• Finding excessive permissions and privilege escalation paths
• Checking public storage and exposed ports

Plan Azure infrastructure around application needs, scale, and budget. Generate Bicep templates, files that define cloud resources as code, then review estimated costs, configure deployment pipelines, and check security settings before production.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning Azure infrastructure for a web app
• Choosing services for microservices or event-driven processing
• Generating Bicep templates and deployment pipelines

Create CI/CD configurations, which automate build, test, and deployment steps, alongside Terraform infrastructure templates and Kubernetes deployment files. Generate health-check and rollback instructions to review before applying changes to cloud infrastructure or application environments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up GitHub Actions or CircleCI pipelines
• Creating Terraform modules for AWS, GCP, or Azure
• Preparing blue/green or rolling deployments

Design Google Cloud infrastructure around application needs, scale, and budget. Get service recommendations, cost estimates, infrastructure configuration files, and deployment guidance, with support for automated delivery and security configuration reviews.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a mobile backend on Cloud Run
• Planning a SaaS architecture on GKE
• Building an event analytics pipeline with BigQuery

Design AWS infrastructure around application needs, traffic, budget, and team experience. Generate templates that define infrastructure as code, compare service choices and estimated costs, and guide deployment, monitoring, and cost reduction.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a serverless backend for an MVP
• Planning AWS infrastructure for a growing SaaS
• Generating CloudFormation infrastructure templates

Deploy applications and infrastructure on Cloudflare by matching project needs to services such as Workers and Pages. Guides service selection and authentication checks, with references covering storage, AI, networking, security, and infrastructure configuration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Publish a website or application on Cloudflare
• Deploy serverless functions with Workers
• Choose storage for databases and files

Creates Terraform configuration for Google Cloud Monitoring notification channels, including email, Slack, and Pub/Sub, and attaches channels to existing alert policies. It also checks Pub/Sub topic compatibility and publishing permissions when inspecting the cloud environment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Configuring email or Slack alert notifications
• Adding notification channels to existing alert policies
• Checking Pub/Sub topic compatibility and publishing permissions

Helps address Google Cloud Security Command Center findings by planning targeted fixes for permissions, misconfigurations, vulnerabilities, and combined attack paths. It includes impact checks, verification, rollback steps, and execution after user approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fix excessive permissions flagged by Security Command Center
• Plan fixes for exposed buckets or firewall rules
• Address attack paths involving multiple security issues

Design and create new Cloud Storage buckets for uses such as backups, media, and AI data. Check project security and name availability, choose storage and protection settings, and produce creation commands or code in the preferred format.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating storage for application media
• Designing buckets for sensitive data
• Preparing backup and long-term archive storage

Manage files in Google Cloud's Cloud Storage buckets, the containers that hold stored data. Upload, download, and organize content, configure access and time-limited sharing links, and manage storage lifecycle, costs, and data protection.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Upload, download, and organize stored files
• Share files through time-limited signed URLs
• Review storage classes and lifecycle rules

Design a shared data platform across Google Cloud, AWS, and Azure for analytics and AI. The skill turns requirements into architecture diagrams, infrastructure code, deployment instructions, and validation checks using Apache Iceberg and BigQuery data agents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a data platform across multiple clouds
• Planning data ingestion and AI serving components
• Preparing infrastructure code and deployment instructions

Design an enterprise search system that answers questions using retrieved company content, an approach called RAG. Gather requirements and produce architecture diagrams, deployment guidance, and validation plans using GKE, AlloyDB, and open models.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing conversational search for internal documents
• Planning RAG with a vector-enabled SQL database
• Hosting open models on GKE

Plan and manage Cloud Spanner databases on Google Cloud, design tables and primary keys, write SQL and client code, and investigate slow queries using database statistics to identify resource-intensive operations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create Cloud Spanner instances and databases
• Design primary keys and related tables
• Write SQL queries and client library code

Design and implement Google Cloud serverless web apps with separate presentation, application, and data layers. Produces architecture diagrams, Terraform infrastructure code, deployment instructions, and validation scripts for private networking and controlled access between layers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design a serverless web app with separate application layers
• Generate Terraform for private Cloud Run and Cloud SQL connections
• Plan regional data residency requirements

Design security controls for Google Cloud Agent Gateway, covering incoming client requests and outgoing agent tool calls. Produce architecture diagrams, configuration files, deployment commands, and validation scripts using Model Armor, IAP, and Agent Registry.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design incoming and outgoing agent communication controls
• Prepare Model Armor filters and tool access policies
• Generate scripts to check authentication and allowed tool calls

Plan and build AI agents on Google Cloud, from gathering requirements to choosing a single-agent or multi-agent design. Produce architecture diagrams, deployment code and instructions, and validation plans tailored to the workload.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan an AI agent architecture on Google Cloud
• Choose between single-agent and multi-agent designs
• Prepare deployment code and step-by-step instructions