/google-cloud-global-frontend-configuration

name: google-cloud-global-frontend-configuration
metadata:
  version: "1.0.1"
  category: Networking
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).

Google Cloud global external Application Load Balancer Configuration Skill

Attribution

**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you MUST read [Usage Attribution](references/attribution.md). For commands executed directly in the terminal (never in generated scripts, Terraform, or user code), prefix `gcloud` with `CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:google-cloud-global-frontend-configuration)"` and append `agent-skills/1.0 (skill:google-cloud-global-frontend-configuration)` to `User-Agent` headers.

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 wa