google-cloud-waf-sustainability
Provides recommendations for environmental sustainability, carbon footprint reduction, and energy efficiency based on the Sustainability pillar of the Google…
Skill by googleOfficial
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: design, cloud, ml, finance
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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What's inside
- Skill name
google-cloud-waf-sustainability- Description
- Provides recommendations for environmental sustainability, carbon footprint reduction, and energy efficiency based on the Sustainability pillar of the Google Cloud Well-Architected Framework (WAF). Use when the user asks to assess, design, or optimize Google Cloud workloads for sustainability—including the shared responsibility model, selecting low-carbon regions (CFE%), reducing resource and AI/ML energy waste, designing efficient software and storage lifecycles, or measuring and tracking emissions using Google Cloud Carbon Footprint. Don't use for financial cost reduction (use google-cloud-waf-cost-optimization), latency and throughput tuning (use google-cloud-waf-performance-optimization), or high availability and disaster recovery (use google-cloud-waf-reliability).
- License
- Apache-2.0
- Metadata
- version: 1.0.2 · category: WellArchitectedFramework
- Instructions
- 249 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- attribution.md · references/
SKILL.md (first lines)
# Google Cloud Well-Architected Framework skill for the Sustainability pillar
## Attribution
**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read and follow the instructions in
[Usage Attribution](references/attribution.md).
## Overview
The Sustainability pillar of the Google Cloud Well-Architected Framework
provides principles and recommendations to help you minimize the environmental
impact of your cloud workloads. It focuses on a shared responsibility
model—Google optimizes the sustainability *of* the cloud, while customers
optimize sustainability *in* the cloud. By making informed decisions about
architecture, resource allocation, and region selection, you can significantly
reduce your carbon footprint and improve overall energy efficiency.
## Core principles
The recommendations in the sustainability pillar of the Well-Architected
Framework are aligned with the following core principles:
- **Shared responsibility**: Define the boundaries of responsibility and
embrace a shared fate model, working with your cloud provider and partners
to achieve optimal environmental outcomes for the entire ecosystem.
Grounding document:
https://docs.cloud.google.com/architecture/framework/sustainability.md.txt
- **Use regions that consume low-carbon energy**: Prioritize Google Cloud
regions with a high percentage of Carbon-Free Energy (CFE) and "Low CO2"
indicators to lower the gross carbon emissions of your deployments.
Grounding document:
https://docs.cloud.google.com/architecture/framework/sustainability/low-carbon-regions.md.txt
- **Optimize AI and ML workloads**: Maximize computations per watt by matching
algorithmic needs to specialized hardware (like TPUs) and applying
mathematical techniques to reduce computational complexity. Grounding
document:
https://docs.cloud.google.com/architecture/framework/sustainability/ai-ml-energy-efficiency.md.txt
- **Optimize resource usage**: Eliminate energy waste by scaling resources to
zero when idle, rightsizing virtual machines, and prioritizing managed
services that dynamically match actual demand. Grounding document:
https://docs.cloud.google.com/architecture/framework/sustainability/optimize-resource-usage.md.txt
- **Develop energy-efficient software**: Design your applications to minimize
unnecessary CPU, memory, and network activity on both backend servers and
end-user devices by using event-driven logic and optimized assets. Grounding
document:
https://docs.cloud.google.com/architecture/framework/sustainability/energy-efficient-software.md.txt
- **Optimize data and storage**: Reduce the environmental footprint of your
storage by implementing lifecycle management to archive cold data and
eliminating "dark data" that provides no business value. Grounding document:
https://docs.cloud.google.com/architecture/framework/sustainability/optimize-storage.md.txt
- **Continuously measure and improve**: Gain visibility into your carbon
emissions by analyzing granular data, identifying hotspots, and taking
proactive steps to remediate inefficiencies. Grounding document:
https://docs.cloud.google.com/architecture/framework/sustainability/continuously-measure-improve.md.txt
- **Promote a culture of sustainability**: Embed sustainability into your
organizational governance, connect technical decisions to environmental
goals, and ensure staff have the skills to implement green practices.
Grounding document:
https://docs.cloud.google.com/architecture/framework/sustainability/culture.md.txt
- **Align sustainability practices with industry guidelines**: Ensure that
your sustainability initiatives are aligned with industry guidelines for
measurement, reporting, and verification, such as W3C Web Sustainability
Guidelines, Green Software Foundation, and Greenhouse Gas Protocol.
Grounding document:
https://docs.cloud.google.com/architecture/framework/sustainability/industry-guidelines.md.txt
## Relevant Google Cloud products
The following are _examples_ of Google Cloud products and features that are
relevant to sustainability:
- **Visibility and measurement**:
- **Carbon Footprint**: Provides dashboard visibility into greenhouse gas
emissions associated with Google Cloud usage.
- **BigQuery**: Analyzes exported Carbon Footprint data alongside billing
data to identify emission hotspots.
- **Infrastructure and operations**:
- **Google Cloud Region Picker**: Helps weigh carbon footprint, cost, and
latency when selecting deployment locations.
- **Active Assist / Recommender**: Automatically identifies idle resources
and provides VM rightsizing recommendations to reduce waste.
- **Cloud Run / GKE Autopilot**: Fully managed compute environments that
optimize cluster usage and can scale to zero when idle.
- **Cloud Batch**: Optimizes the scheduling of batch jobs, allowing
execution during periods of high Carbon-Free Energy.
- **Spot VMs**: Utilizes unused data center capacity for fault-tolerant
workloads, improving overall hardware efficiency.
- **Data and AI**:
- **Cloud Storage Lifecycle Management**: Automatically transitions older
data to lower-energy storage classes (Nearline, Coldline, Archive).
- **Cloud TPUs**: Specialized hardware optimized for the energy efficiency
of large-scale AI/ML matrix multiplications.
## Workload assessment questions
Ask appropriate questions to understand the sustainability-related requirements
and constraints of the workload and the user's organization. Choose questions
from the following list:
- **Cloud sustainability**:
- How do you define the boundaries of sustainability responsibility
between your organization and your cloud provider?
- How do you leverage cloud capabilities and AI to drive sustainability
outcomes for your broader business operations?
- How does your cloud strategy account for the sustainability impact of
your partner ecosystem and multi-cloud environments?
- **Use regions that consume low-carbon energy**:From google/skills, Apache-2.0.
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- Stars
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- Last commit (this folder)
- Oct 21, 2026 (6 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0.2
- License
- Apache-2.0
- Repository
- github.com/google/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
google-cloud-waf-sustainability skill. Agent Mart. https://agentmart.dev/skills/google-google-cloud-waf-sustainability (last updated 2026-10-24)