Official agent skill

Google Cloud Global Frontend Configuration

by google in google/skills

Guides agents through a 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload…

OfficialApache-2.0Auto-check passedDevOps & Cloud

Install Google Cloud Global Frontend Configuration

skills CLI
$ npx skills add google/skills --skill google-cloud-global-frontend-configuration -a claude-code

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

GitHub CLI
$ gh skill install google/skills google-cloud-global-frontend-configuration --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-global-frontend-configuration .claude/skills/google-cloud-global-frontend-configuration && 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-global-frontend-configuration
GitHub stars
21k
Token cost
~2.6k tokens
SKILL.md length
1,112 words
Files
7 (incl. references)
Skills in repo
145
Repo updated
First seen
Licence
Apache-2.0

At a glance

Guides agents through a 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload…

  • Works in 6 steps: Basics → Origin Configuration → Traffic Management & Extensibility → …
  • Deploying a Google Cloud global external Application Load Balancer
  • SKILL.md covers Purpose & Agent Guidance, The 6-Step Configuration Flow and Relevant Documentation &…
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Google Cloud Global Frontend Configuration is an agent skill from google/skills, published by the product's own GitHub organization. Guides agents through a 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload requirements to best-practice configurations. Use when: - Designing, configuring, or deploying a Google Cloud global external Application Load Balancer, Cloud CDN, Cloud Armor WAF, or Service Extensions. - Discovering existing Google Cloud resources (Cloud Storage, MIGs, GKE, Cloud Run) to use as backends. - Generating…

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/drift-detection.md`, `references/gcloud-generation.md` and `references/managed-deployment.md`).

It sits in DevOps & Cloud, covering Cloud networking. It works with Google Cloud, Terraform, Cloud Run and Google Kubernetes Engine. The repository describes itself as: Agent Skills for Google products and technologies. The licence is Apache-2.0.

When your agent uses it

  • Deploying a Google Cloud global external Application Load Balancer
  • Cloud Armor WAF
  • Service Extensions
  • : - Non-Google Cloud load balancing

Example prompts

  • “Use the google-cloud-global-frontend-configuration skill to guide agents through a 6-step discovery process to design and deploy Google Cloud global…”
  • “/google-cloud-global-frontend-configuration”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Basics
  2. Origin Configuration
  3. Traffic Management & Extensibility
  4. Caching (Cloud CDN)
  5. Security (Cloud Armor)
  6. Review & Deploy

What it can do on your machine

Read from SKILL.md and the folder at commit 8a1ac05. 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):

    • cloud.google.com
    • registry.terraform.io

    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 Global Frontend Configuration loads about 2.6k tokens when it runs, and up to ~9.5k if it reads all its reference files. Until then it costs about 262 tokens; SKILL.md has 1,112 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~262
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9.5k

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 8a1ac05, republished under its Apache-2.0 licence (© google). 1,112 words, ~2,590 tokens.

Download SKILL.mdSave it as .claude/skills/google-cloud-global-frontend-configuration/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
google-cloud-global-frontend-configuration
description
Guides agents through a 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload requirements to best-practice configurations. Use when: - Designing, configuring, or deploying a Google Cloud global external Application Load Balancer, Cloud CDN, Cloud Armor WAF, or Service Extensions. - Discovering existing Google Cloud resources (Cloud Storage, MIGs, GKE, Cloud Run) to use as backends. - Generating production-grade Terraform HCL or gcloud CLI scripts for global external Application Load Balancers. - Actuating deployments via Infrastructure Manager or bash scripts, including IAM pre-checks. - Detecting, analyzing, or reconciling configuration drift on deployed global external Application Load Balancers. Don't use for: - Non-Google Cloud load balancing or security configurations. - Purely regional or internal load balancing setups (unless part of a hybrid/failover global design).
metadata.version
1.0.0
metadata.category
Networking

Google Cloud global external Application Load Balancer Configuration Skill

Purpose & Agent Guidance

This skill enables the agent to guide users through a structured, 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers (incorporating Cloud CDN, Cloud Armor, and Service Extensions).

Assumptions & Target Environments:

  • This skill assumes it is called from environments (such as Gemini CLI, Antigravity, etc.) where the Google Cloud CLI (gcloud) can be executed.
  • If gcloud is not available or accessible, the skill cannot perform automated resource discovery or managed deployment actuation. In such environments, the skill will limit its support to guiding the design and generating Terraform HCL configurations.

When executing this skill, the agent must:

  • Map user workload requirements to simplified, opinionated best-practice configurations using actual Google Cloud product names.
  • Progressively disclose details, hiding advanced complexity unless the user explicitly asks for customization.
  • Leverage the reference documents in the references/ directory to perform resource discovery, code generation, actuation, and drift detection.

The 6-Step Configuration Flow

Step 1: Basics
  • Project Discovery: Consult references/resource-discovery.md to auto-detect the Google Cloud project ID. Present the discovered project ID to the user.
  • Ask the user for the foundational details of their load balancer:
    • Name & Description: What should we call this load balancer?
    • Protocol Selection: Do they need HTTP, HTTPS, or both?
    • Certificate Management: Do they want to use Google-managed certificates or bring their own existing certificates?
Step 2: Origin Configuration

Help the user define their backend workloads through a strictly sequential, step-by-step loop. Do NOT ask everything at once. All steps are mandatory.

  • Sub-step A - Origin Setup: Ask if they have a single origin or need multi-origin support. Wait for response.
  • Sub-step B - Origin Types: Ask them to select the backend types from: Cloud Storage Buckets, Compute Engine Managed Instance Groups (MIGs), Google Kubernetes Engine (GKE) Clusters, Cloud Run Services, or External/Internet origins (IP/FQDN). Wait for response.
  • Sub-step C - Origin Definition Loop: Execute the following loop sequentially for EACH origin type selected in Sub-step B. Wait for the user to answer for one origin before asking about the next:
    • Resource Discovery: For Google Cloud-native origins (Cloud Storage, MIGs, GKE, Cloud Run), consult references/resource-discovery.md to fetch resources. Present the list starting with 1. Create New, 2. NA. For External/Internet origins, just ask for the FQDN/IP.
    • Workload Type (CRITICAL): Immediately after they define the resource, ask exactly what type of workload is being served:
      1. Static Images / Objects (Static content, images, videos, styling assets)
      2. Cacheable API (Read-only, public APIs where cached data is acceptable)
      3. Uncacheable API / Transactions (Transactional endpoints, login, checkout, account changes)
      4. Dynamic Web (SSR) (Dynamic pages, server-side rendered apps, custom dynamic sessions)
  • Sub-step D - Routing Rules: Once ALL origins have been fully defined one by one, ask how traffic should be routed between them (Path-based, header-based, or query-param-based). Wait for response.
  • Sub-step E - Logging: After routing is established, ask if they want to enable Cloud CDN logging, and if so, at what sampling rate (0-100%). Wait for response.
Step 3: Traffic Management & Extensibility
  • Provide a brief summary of the origins and routing rules defined in Step 2.
  • Ask if they need to enable Advanced Traffic Management settings (such as granular weighted load balancing, traffic mirroring, or Cloud Load Balancing Service Extensions for custom WASM plugins / callouts), or if they want to proceed with Google Cloud Best Practice Configuration.
Step 4: Caching (Cloud CDN)

Propose a "Recommended Configuration" based entirely on the Workload Type from Step 2. Do not list the advanced settings (TTL, Cache Keys, Compression) unless they reject the recommendation and want to customize.

  • If Workload = Static Images / Objects:
    • Cache Mode: Cache All Static
    • TTL: Client (1 day / 86400s), Default (30 days / 2592000s), Max (365 days / 31536000s) — balances long-term cache offload for static assets with periodic re-validation.
    • Cache Key: Protocol + Host + Path (Ignore Query Strings)
    • Compression: Enabled (Brotli & Gzip)
    • Negative Caching: Enabled
    • Serve while stale: Enabled
  • If Workload = Cacheable API:
    • Cache Mode: Use Origin Headers
    • TTL: Managed by Origin (Omitted from configuration to prevent errors)
    • Cache Key: Protocol + Host + Path + Include Query Strings
    • Compression: Enabled (Gzip)
    • Negative Caching: Enabled
    • Serve while stale: Disabled
  • If Workload = Uncacheable API / Transactions:
    • Cache Mode: Disabled (CDN Bypassed)
  • If Workload = Dynamic Web (SSR):
    • Cache Mode: Use Origin Headers
    • TTL: Managed by Origin (Omitted from configuration to prevent errors)
    • Cache Key: Protocol + Host + Path
    • Compression: Enabled (Brotli & Gzip)
    • Cache Bypass: Bypass cache if session cookies (e.g., SESSID, JWT) are present
Show full SKILL.md (380 more words)Show less
Step 5: Security (Cloud Armor)

Propose a "Recommended Configuration" based entirely on the Workload Type from Step 2. Keep advanced protection (Bot Management, Threat Intel, Geo-blocking) hidden unless requested.

  • If Workload = Static Images / Objects:
    • Rate Limiting: None (Standard Edge behavior; rate limiting is unsupported on Cloud Armor Edge policies for Cloud Storage buckets).
    • OWASP Protection: Disabled
  • If Workload = Cacheable API:
    • Rate Limiting: 100 requests per minute per client IP (standard baseline to prevent API abuse and DDoS while accommodating normal interactive usage).
    • OWASP Protection: Enabled (SQLi, XSS, Local File Inclusion)
  • If Workload = Uncacheable API / Transactions:
    • Rate Limiting: Strict 30 requests per minute per client IP (tight threshold to protect sensitive transactional endpoints like login/checkout from credential stuffing and brute-force attacks).
    • OWASP Protection: Enabled (SQLi, XSS, Remote Command Execution, Session Fixation)
    • Bot Management & Threat Intel: Enabled (Block malicious bots and known malicious IPs)
  • If Workload = Dynamic Web (SSR):
    • Rate Limiting: 120 requests per minute per client IP (generous threshold to accommodate burst requests for initial page loads and asset hydration in SSR web applications).
    • OWASP Protection: Enabled (SQLi, XSS, CSRF, Shellshock)
    • Geo-blocking: Optional (Restrict/allow specific country access)
Step 6: Review & Deploy
  • Configuration Summary: Generate a complete, formatted markdown table showing all finalized settings from Steps 1 through 5, using Google Cloud product names. Follow this exact template structure:

    ComponentParameter / SettingValue & Justification
    Load BalancerName & Protocol<Name> (HTTP/HTTPS)
    OriginsBackends & Workloads<Backend 1> (<Workload Type>), <Backend 2>...
    Traffic ManagementRouting Rules<Path / Header rules or Default>
    Cloud CDNCache Mode & TTLs<Cache Mode>, Default TTL: <TTL>
    Cloud ArmorRate Limiting & OWASP<RPM Limit>, OWASP Rules: <Enabled/Disabled>
    Service ExtensionsWASM / Callouts<Enabled/Disabled or N/A>
  • Next Action: Ask the user to choose their deployment/generation format (Terraform HCL or gcloud CLI Bash Script) and their next action:

    1. Show Code / Script (Display the HCL code or gcloud bash script. Once displayed, offer options to Download or Deploy/Execute)
    2. Download files (Save main.tf or deploy.sh to the local workspace)
    3. Deploy Configuration: Initiate the deployment via Infrastructure Manager or execute the gcloud script. This should be done using the deployment instructions in references/managed-deployment.md.

© 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

SKILL.md and 6 other files (references) in skills/cloud/google-cloud-global-frontend-configuration of google/skills.

  • SKILL.md
  • references/drift-detection.md
  • references/gcloud-generation.md
  • references/managed-deployment.md
  • references/resource-discovery.md
  • references/terraform-generation.md
  • references/terraform-module.md

Open the folder on GitHubat commit 8a1ac05

Compare with similar skills

Google Cloud Global Frontend Configuration 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 Global Frontend Configuration compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Google Cloud Global Frontend Configuration this skillgoogle/skills21k—~2.6kAutomated safety check: PassApache-2.0
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Dd GCP Integrationdatadog-labs/agent-skills177—~8kAutomated safety check: NotesMIT
GCP ArchitectFerroxLabs/wayland608—~4.4kAutomated safety check: PassApache-2.0
Devopsnicepkg/auto-company1922 repos~814Automated safety check: PassMIT
Google Agents CLI Deploypifferologo/cloud-agents-cli1291 repos~6kAutomated safety check: PassApache-2.0

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Categories

Questions about Google Cloud Global Frontend Configuration

What does Google Cloud Global Frontend Configuration do?

Guides agents through a 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload…. Google Cloud Global Frontend Configuration is an agent skill from google/skills, published by the product's own GitHub organization. Guides agents through a 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload requirements to best-practice configurations.

When should I use Google Cloud Global Frontend Configuration?

Google Cloud Global Frontend Configuration fits situations like: deploying a Google Cloud global external Application Load Balancer; cloud Armor WAF; service Extensions; : - Non-Google Cloud load balancing.

How do I install Google Cloud Global Frontend Configuration in Claude Code?

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

How do I install Google Cloud Global Frontend Configuration in Codex?

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

Can I use Google Cloud Global Frontend Configuration 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-global-frontend-configuration -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-global-frontend-configuration, .gemini/skills/google-cloud-global-frontend-configuration, .github/skills/google-cloud-global-frontend-configuration and .opencode/skills/google-cloud-global-frontend-configuration in your project.

What does Google Cloud Global Frontend Configuration need to run?

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

Does Google Cloud Global Frontend Configuration access the network?

SKILL.md names 2 domains. As links in the text: cloud.google.com and registry.terraform.io. This is read from the text; nothing was executed.

Is Google Cloud Global Frontend Configuration 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 Global Frontend Configuration use?

Google Cloud Global Frontend Configuration 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 Global Frontend Configuration use?

About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.9k tokens, read only when the agent opens those files.

What are the alternatives to Google Cloud Global Frontend Configuration?

Skills that share tags, products or a category with Google Cloud Global Frontend Configuration: Deploying (GoogleCloudPlatform/race-condition, 234 stars), Dd GCP Integration (datadog-labs/agent-skills, 177 stars), GCP Architect (FerroxLabs/wayland, 608 stars) and Devops (nicepkg/auto-company, 192 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Google Cloud Global Frontend Configuration?

google (a GitHub organization, an official publisher) maintains it in google/skills, which has 20,994 GitHub stars. The repository holds 145 skills in this directory. The repository was last updated on October 6, 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.