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google/google-cloud-waf-sustainability

Google Cloud 워크로드에 대한 지속 가능성 중심의 지침을 생성합니다. Google Cloud Well-Architected Framework(WAF)의 설계 원칙 및 권장 사항을 기반으로 워크로드를 평가하고 환경 영향 요구 사항을 파악하며, Google Cloud에서 지속 가능하게 워크로드를 구축, 배포 및 관리하기 위한 실행 가능한 권장 사항을 제공합니다.

google-cloud-waf-sustainability란 무엇인가요?

이 스킬은 Google Cloud Well-Architected Framework(WAF)의 지속 가능성 설계 원칙과 권장 사항을 활용하여 클라우드 워크로드의 환경 영향을 줄이는 데 중점을 둡니다. 주로 Claude Code, Cursor, Codex와 같은 AI 에이전트 플랫폼에서 사용되며, 사용자가 워크로드를 평가하고 탄소 발자국을 최소화하기 위한 구체적인 조치를 식별할 수 있도록 지원합니다. 이 스킬은 SKILL.md 파일에 정의된 구조화된 지침을 기반으로 하며, 리소스 효율성, 에너지 소비 최적화, 친환경 배포 전략 등의 영역을 다룹니다. 개발자는 이 스킬을 통해 기존 아키텍처를 검토하고, 지속 가능성 목표에 부합하는 개선 사항을 자동으로 추천받을 수 있습니다. Google Cloud 환경에 특화되어 있지만, 일반적인 클라우드 지속 가능성 원칙도 포함하고 있어 다양한 시나리오에 적용 가능합니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/google/skills/tree/main/skills/google-cloud-waf-sustainability

즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

문서

google-cloud-waf-sustainability은(는) 무엇을 하나요?

Google Cloud Well-Architected Framework(WAF)의 설계 원칙 및 권장 사항을 기반으로 Google Cloud 워크로드에 대한 지속 가능성 중심의 지침을 생성합니다. 이 스킬을 사용하여 워크로드를 평가하고, 환경 영향 요구 사항을 파악하며, Google Cloud에서 지속 가능하게 워크로드를 구축, 배포 및 관리하기 위한 실행 가능한 권장 사항을 제공합니다.

개요

이 스킬은 Google Cloud WAF의 지속 가능성 설계 원칙을 활용하여 워크로드의 환경 영향을 분석하고 개선 방안을 제시합니다. 주요 목표는 리소스 효율성을 높이고 탄소 배출을 줄이는 것입니다.

사용 방법

  • waf-sustainability: evaluate — 현재 워크로드 구성을 평가하고 지속 가능성 측정 지표를 제공합니다.
  • waf-sustainability: recommend — 지속 가능성을 개선하기 위한 구체적인 권장 사항을 생성합니다.
  • waf-sustainability: guide — WAF 설계 원칙에 따른 상세 지침을 제공합니다.

주요 기능

  1. 워크로드 평가: 기존 Google Cloud 리소스의 환경 영향을 분석합니다.
  2. 전력 효율성 최적화: 에너지 소비를 줄이기 위한 인스턴스 유형 및 구성 제안.
  3. 탄소 인식 배포: 탄소 집약도가 낮은 리전 및 시간대를 활용한 배포 전략.
  4. 리소스 정리: 사용하지 않는 리소스 식별 및 제거를 통한 낭비 최소화.

지원 플랫폼

  • Claude Code
  • Cursor
  • Codex
  • 기타 AI 에이전트 도구

예제

# 워크로드 평가 실행
waf-sustainability evaluate --project my-project --region us-central1

# 지속 가능성 권장 사항 생성
waf-sustainability recommend --workload-id my-workload

참고 사항

  • 이 스킬은 Google Cloud 환경에 최적화되어 있습니다.
  • 모든 권장 사항은 Google Cloud Well-Architected Framework의 공식 문서를 기반으로 합니다.
  • 평가 결과는 프로젝트의 실제 구성에 따라 달라질 수 있습니다.

Individual skills in this repo

This repo contains 18 individual skills — each has its own dedicated page.

google/agent-platform-skill-registry

Interact with the Gemini Enterprise Agent Platform Skill Registry to create and search for available skills. Use this skill to enable agents to register functionality or discover new capabilities.

google/alloydb-basics

Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations.

google/bigquery-basics

Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources, or leverage BigQuery's built-in ML capabilities. Also use when performing data analysis, ingesting data into BigQuery, or developing AI applications on BigQuery.

google/cloud-run-basics

Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).

google/cloud-sql-basics

This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server instances as resources in Cloud SQL. For example, when Cloud SQL creates an open-source MySQL instance, the resulting resource is a Cloud SQL for MySQL instance that Google Cloud manages. Cloud SQL handles backups, high availability, and secure connectivity for relational database workloads.

google/firebase-basics

Use this skill whenever you are working on a project that uses Firebase products or services, especially for mobile or web apps.

google/gemini-api

Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like multimodal inputs, tools, media generation, caching, batch prediction, and Live API.

google/gemini-interactions-api

Guides the usage of Gemini Interactions API on Gemini Enterprise Agent Platform. Use when the user wants to use the stateful, server-managed Interactions API for multi-turn conversations, background execution, streaming, structured output, and function calling on the Agent Platform.

google/gke-basics

Plan, create, and configure production-ready Google Kubernetes Engine (GKE) clusters using the golden path Autopilot configuration. Covers Day-0 checklist, Autopilot vs Standard, networking (private clusters, VPC-native, Gateway API), security (Workload Identity, Secret Manager, RBAC hardening), observability, scaling, cost optimization, and AI/ML inference. WHEN: create GKE cluster, provision GKE environment, design GKE networking, secure GKE, optimize GKE cost, GKE autoscaling, GKE inference, GKE upgrade, GKE observability, GKE multi-tenancy, GKE batch, GKE HPC, GKE compute class.

google/google-cloud-networking-observability

Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs (including cost estimation), NAT, firewall, or threat logs, querying latency and throughput metrics, or running Connectivity Tests for path diagnostics. Don't use for generic VM management or non-observability tasks.

google/google-cloud-recipe-auth

Provides expert guidance on authenticating and authorizing to Google Cloud services and APIs, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.

google/google-cloud-recipe-networking-observability

Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs, NAT, firewall, or threat logs, querying latency and throughput metrics, or running Connectivity Tests for path diagnostics.

google/google-cloud-recipe-onboarding

Guides a developer's first steps on Google Cloud, covering account creation, billing setup, project management, and deploying a first resource. Use when a new developer wants to initialize their first Google Cloud project, configure billing, and verify deployment. Don't use for enterprise organization setup (use Google Cloud Setup guided flow for that instead). Don't use for complex multi-project architectures.

google/google-cloud-waf-cost-optimization

Generates cost optimization guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify cost requirements and constraints, and provide actionable recommendations for build, deploy, and manage the workload cost-efficiently in Google Cloud.

google/google-cloud-waf-operational-excellence

Generates operations-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Operational Excellence pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify operational requirements, and provide actionable recommendations for deployment, monitoring, and incident management.

google/google-cloud-waf-performance-optimization

Generates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify performance requirements, and provide actionable recommendations for resource allocation, modular design, and elasticity.

google/google-cloud-waf-reliability

Generates reliability-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework. Use this skill to evaluate a workload, identify reliability requirements, and provide actionable recommendations for build, deploy, and manage the workload reliably in Google Cloud.

google/google-cloud-waf-security

Generates security-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify security requirements, and provide actionable recommendations for IAM, network security, data protection, and operational security.

관련 스킬