Does it support data analytics and BigQuery?

Absolutely. The skill features support for BigQuery SQL queries, dataset management, and data loading/extraction using both the bq CLI and the Python SDK.

How does the GCP skill help with Kubernetes?

It provides specific gcloud commands and best practices for creating, resizing, and managing Google Kubernetes Engine (GKE) clusters, including credential handling and node pool configuration.

Can this skill help with Python cloud development?

Yes, it provides boilerplate and implementation patterns for the Google Cloud Python SDK, covering Storage, BigQuery, and Pub/Sub publishers/subscribers.

Is the gcloud CLI supported?

Yes, the skill contains a comprehensive quick reference for gcloud configuration, project settings, authentication, and service-specific commands.

Can I use this skill for Infrastructure as Code (IaC)?

Yes, the skill includes optimized Terraform resource patterns for the GCP provider, helping you build reproducible cloud environments for GKE, Cloud Run, and Storage.

GCP (Google Cloud Platform)

Name: GCP (Google Cloud Platform)
Author: Lobbi-Docs

byLobbi-Docs

Infraestructura en la Nube

Manages and deploys Google Cloud Platform infrastructure and services using gcloud CLI, Python SDK, and Terraform.

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The GCP skill empowers Claude to act as a Google Cloud architect and administrator, providing comprehensive support for managing GKE clusters, Cloud Run deployments, and serverless architectures. It streamlines infrastructure-as-code tasks with Terraform, simplifies data operations in BigQuery and Cloud Storage, and facilitates real-time messaging with Pub/Sub. Whether you are initializing new projects via the gcloud CLI or writing complex Python scripts for GCP services, this skill provides the specialized patterns and best practices needed for high-performance cloud operations within the Golden Armada AI Agent Fleet Platform.

Características Principales

Pub/Sub messaging and event-driven architecture patterns
Serverless deployment automation for Cloud Run services
Comprehensive GKE cluster orchestration and management
BigQuery data analytics and Cloud Storage lifecycle management
Infrastructure as Code support with GCP-specific Terraform resources
0 GitHub stars

Casos de Uso

Deploying containerized applications to Cloud Run with optimized environment configurations
Automating Google Kubernetes Engine (GKE) cluster scaling and maintenance operations
Developing data pipelines using BigQuery SQL and the Google Cloud Python SDK

Acerca de

Características Principales

Pub/Sub messaging and event-driven architecture patterns
Serverless deployment automation for Cloud Run services
Comprehensive GKE cluster orchestration and management
BigQuery data analytics and Cloud Storage lifecycle management
Infrastructure as Code support with GCP-specific Terraform resources
0 GitHub stars

Casos de Uso

Deploying containerized applications to Cloud Run with optimized environment configurations
Automating Google Kubernetes Engine (GKE) cluster scaling and maintenance operations
Developing data pipelines using BigQuery SQL and the Google Cloud Python SDK