Official agent skill

Google Cloud Waf Sustainability

by google in google/skills

Provides recommendations for environmental sustainability, carbon footprint reduction, and energy efficiency based on the Sustainability pillar of the Google Cloud Well-Architected Framework (WAF).

OfficialApache-2.0Auto-check passedDevOps & Cloud

Install Google Cloud Waf Sustainability

skills CLI
$ npx skills add google/skills --skill google-cloud-waf-sustainability -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install google/skills google-cloud-waf-sustainability --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cloud/google-cloud-waf-sustainability .claude/skills/google-cloud-waf-sustainability && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
google-cloud-waf-sustainability
GitHub stars
21k
Token cost
~3.4k tokens
SKILL.md length
1,440 words
Files
1
Skills in repo
147
Repo updated
First seen
Licence
Apache-2.0

At a glance

Provides recommendations for environmental sustainability, carbon footprint reduction, and energy efficiency based on the Sustainability pillar of the Google Cloud Well-Architected Framework (WAF).

  • The user asks to assess
  • SKILL.md covers Overview, Core principles, Relevant Google Cloud products and Workload assessment questions, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Optimize Google Cloud workloads for sustainability—including the shared responsibility model

What it does

Google Cloud Waf Sustainability is an agent skill from google/skills, published by the product's own GitHub organization. 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…

Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Backup and disaster recovery, Cloud architecture and Performance optimization. It works with Google Cloud. The repository describes itself as: Agent Skills for Google products and technologies. The licence is Apache-2.0.

When your agent uses it

  • The user asks to assess
  • Optimize Google Cloud workloads for sustainability—including the shared responsibility model
  • Selecting low-carbon regions (CFE%)
  • Reducing resource and AI/ML energy waste

Example prompts

  • “Use the google-cloud-waf-sustainability skill to provide recommendations for environmental sustainability, carbon footprint reduction, and energy…”
  • “/google-cloud-waf-sustainability”

What it can do on your machine

Read from SKILL.md and the folder at commit 5120a76. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.cloud.google.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Google Cloud Waf Sustainability loads about 3.4k tokens when it runs. Until then it costs about 203 tokens; SKILL.md has 1,440 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~203
When it runs · the whole SKILL.md, loaded when a task matches
~3.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from google/skills at commit 5120a76, republished under its Apache-2.0 licence (© google). 1,440 words, ~3,433 tokens.

Download SKILL.mdSave it as .claude/skills/google-cloud-waf-sustainability/SKILL.md (or your agent's skills folder).
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).
metadata.version
1.0.1
metadata.category
WellArchitectedFramework

Google Cloud Well-Architected Framework skill for the Sustainability pillar

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:

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:

    • How do you incorporate carbon intensity into your Google Cloud region selection strategy?
  • Optimize AI and ML workloads:

    • How do you optimize the energy efficiency of your AI and machine learning lifecycles?
  • Optimize resource usage:

    • How do you ensure your infrastructure footprint dynamically matches actual workload demand?
    • How do you select and maintain the hardware types used for your cloud workloads?
    • What is your strategy for handling non-urgent or compute-intensive background tasks?
    • How do you balance the need for high availability and disaster recovery with sustainability?
  • Develop energy-efficient software:

    • How do you ensure your backend logic minimizes unnecessary CPU, memory, and network activity?
    • How do you manage the overall efficiency and maintenance of your codebase for sustainability?
    • How do you minimize the data volume and processing load that your application places on end-user devices?
    • How does your user experience (UX) design contribute to energy efficiency for the end user?
  • Optimize data and storage:

    • What process do you have for managing the environmental footprint of your data and storage?
  • Continuously measure and improve:

    • How do you analyze your carbon data to prioritize optimization efforts?
    • How is sustainability measurement embedded into your organization’s governance and culture?
    • What is your current process for gaining visibility into your cloud-related carbon emissions?
    • What proactive steps do you take to remediate identified carbon hotspots?
  • Promote a culture of sustainability:

    • How do you connect individual technical decisions to the organization's mission and hold teams accountable for results?
    • How do you ensure your technical and business staff have the specific skills required to implement sustainability practices?
Show full SKILL.md (561 more words)Show less

Validation checklist

Use the following checklist to evaluate the architecture's alignment with sustainability recommendations:

  • Cloud sustainability:

    • The organization embraces a shared responsibility and shared fate model for sustainability.
    • AI is used as a catalyst for profitability and resilience to streamline operations, or sustainability is integrated into the design process to create positive feedback loops.
    • Collaborations with sustainable partners are prioritized and multi-cloud data portability is leveraged, or internal practices align with recognized global standards like the Green Software Foundation.
  • Use regions that consume low-carbon energy:

    • A data-driven policy prioritizes regions with high Carbon-Free Energy (CFE%) and "Low CO2" indicators, or the Google Cloud Region Picker is actively used to balance carbon footprint with cost and latency.
  • Optimize AI and ML workloads:

    • Algorithmic needs are matched to specialized hardware (TPUs) to maximize computations per watt, or mathematical techniques like model compression and PEFT are applied to reduce computational complexity.
  • Optimize resource usage:

    • Fully managed services that scale to zero when idle are utilized, or Horizontal Pod Autoscaling (HPA) and Vertical Pod Autoscaling (VPA) are used in GKE to prevent over-provisioning.
    • A formal process exists to upgrade to the newest machine types for improved performance-per-watt, or workloads are actively matched to specialized machine families.
    • Batch jobs are proactively scheduled to run during periods or in regions with the highest proportion of CFE, or Spot VMs are utilized for non-critical batch jobs.
    • "Cold DR" or serverless failover is prioritized to ensure secondary regions remain at zero energy consumption until an event occurs, or Infrastructure as Code (IaC) is used to rapidly provision a recovery environment only when needed.
  • Develop energy-efficient software:

    • Resource-intensive busy loops or constant polling are replaced with event-driven logic, or algorithms with optimal time complexity and data structures are prioritized.
    • The "Don't Repeat Yourself" (DRY) principle is adhered to with regular refactoring, or intelligent caching (e.g., Memorystore) is implemented with smart eviction policies.
    • The download size of website products is measured and maintained against a strict budget, or CI/CD pipelines automate the minimization and compression of HTML, CSS, and JS files.
    • Static sites or Progressive Web Apps (PWAs) are preferred for faster loading, or DOM manipulation is minimized to reduce device power consumption.
  • Optimize data and storage:

    • Object Lifecycle Management is used to automatically move cold data to Archive storage, or discovery techniques (e.g., Dataplex) are used to identify and eliminate "dark data".
  • Continuously measure and improve:

    • Carbon data is analyzed by project, region, and service to identify gross emitters, or carbon data is joined with Billing data in BigQuery to correlate cost and environmental impact.
    • A formal GreenOps function defines accountability for carbon reduction targets, or verified Carbon Footprint data from BigQuery supports formal ESG disclosures.
    • Applications are instrumented to measure the specific carbon intensity of software features, or automated exports of Carbon Footprint data to BigQuery are configured for deep analysis.
    • The unattended project recommender and Active Assist are regularly used to decommission idle resources, or proactive projects re-architect hotspots by shifting workloads to low-carbon regions.
  • Promote a culture of sustainability:

    • Abstract carbon metrics are transformed into tangible progress indicators in annual reports, or sustainability is treated as a first-class technical requirement (NFR) tied to KPIs and performance reviews.
    • Training tailored to specific job roles (e.g., developers on code efficiency, FinOps on carbon unit economics) is provided, or teams are formally trained to access and interpret carbon footprint data.

© google, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/cloud/google-cloud-waf-sustainability of google/skills.

Open the folder on GitHubat commit 5120a76

Compare with similar skills

Google Cloud Waf Sustainability next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Google Cloud Waf Sustainability compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Google Cloud Waf Sustainability this skillgoogle/skills21k—~3.4kAutomated safety check: PassApache-2.0
Cloud ArchitectJeffallan/claude-skills12k—~1.9kAutomated safety check: PassMIT
Senior Cloud Architectborghei/Claude-Skills886—~1.4kAutomated safety check: PassMIT
Cloud Cost Optimizationwshobson/agents40k14 repos~1.7kAutomated safety check: PassMIT
Thesvgglincker/thesvg2.8k—~1.5kAutomated safety check: PassMIT
Dangling DNS Finderanirudhbiyani/findmytakeover180—~1.8kAutomated safety check: PassGPL-3.0

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Works with

Categories

Questions about Google Cloud Waf Sustainability

What does Google Cloud Waf Sustainability do?

Provides recommendations for environmental sustainability, carbon footprint reduction, and energy efficiency based on the Sustainability pillar of the Google Cloud Well-Architected Framework (WAF). Google Cloud Waf Sustainability is an agent skill from google/skills, published by the product's own GitHub organization. Provides recommendations for environmental sustainability, carbon footprint reduction, and energy efficiency based on the Sustainability pillar of the Google Cloud Well-Architected Framework (WAF).

When should I use Google Cloud Waf Sustainability?

Google Cloud Waf Sustainability fits situations like: the user asks to assess; optimize Google Cloud workloads for sustainability—including the shared responsibility model; selecting low-carbon regions (CFE%); reducing resource and AI/ML energy waste.

How do I install Google Cloud Waf Sustainability in Claude Code?

Run `npx skills add google/skills --skill google-cloud-waf-sustainability -a claude-code`. Or copy the skill folder (skills/cloud/google-cloud-waf-sustainability in google/skills) into .claude/skills/google-cloud-waf-sustainability in your project. Claude Code loads it when a task matches its description.

How do I install Google Cloud Waf Sustainability in Codex?

Run `npx skills add google/skills --skill google-cloud-waf-sustainability -a codex`. Or copy the skill folder (skills/cloud/google-cloud-waf-sustainability in google/skills) into .agents/skills/google-cloud-waf-sustainability in your project. Codex loads it when a task matches its description.

Can I use Google Cloud Waf Sustainability in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add google/skills --skill google-cloud-waf-sustainability -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/google-cloud-waf-sustainability, .gemini/skills/google-cloud-waf-sustainability, .github/skills/google-cloud-waf-sustainability and .opencode/skills/google-cloud-waf-sustainability in your project.

What does Google Cloud Waf Sustainability need to run?

SKILL.md names no scripts, command-line tools or credentials: Google Cloud Waf Sustainability is instructions for the agent only.

Does Google Cloud Waf Sustainability access the network?

SKILL.md names 1 domain. As links in the text: docs.cloud.google.com. This is read from the text; nothing was executed.

Is Google Cloud Waf Sustainability safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Google Cloud Waf Sustainability use?

Google Cloud Waf Sustainability is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Google Cloud Waf Sustainability use?

About 3.4k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Google Cloud Waf Sustainability?

Skills that share tags, products or a category with Google Cloud Waf Sustainability: Cloud Architect (Jeffallan/claude-skills, 12k stars), Senior Cloud Architect (borghei/Claude-Skills, 886 stars), Cloud Cost Optimization (wshobson/agents, 40k stars) and Thesvg (glincker/thesvg, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Google Cloud Waf Sustainability?

google (a GitHub organization, an official publisher) maintains it in google/skills, which has 21,069 GitHub stars. The repository holds 147 skills in this directory. The repository was last updated on October 9, 2026.

Source: google/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.