alon3153
Community@alon3153
A comprehensive Google Cloud skill registry covering GKE operations, Gemini Agent Platform, BigQuery analytics, IAM security, and Google Ads/Analytics integrations.
Agent Skills by alon3153
Showing 135 vetted skills indexed across 1 GitHub repositories.
gke-cluster-autoscaler
Diagnose and optimize GKE Cluster Autoscaler scaling, provisioning, and scale-down blockers.
google-ads-api-quickstart
Guides developers through Google Ads API credential setup and first campaign retrieval across six client libraries and REST.
gcloud
Validates and constrains gcloud CLI commands with safety guardrails and data reduction rules.
gke-observability
Configures GKE Cloud Logging, Cloud Monitoring, and managed Prometheus metrics collection.
agent-platform-tuning
Fine-tune open and Gemini models on Google Cloud Agent Platform infrastructure.
gke-golden-path
Provides GKE Autopilot golden path defaults and production readiness checklists for cluster configuration.
google-analytics-admin-api-basics
Configure Google Analytics accounts, properties, and data streams via the Admin API.
google-cloud-recipe-onboarding
Guides first-time Google Cloud setup including authentication, project creation, and billing linkage.
developing-genkit-go
Build AI applications, flows, and agents in Go using the Genkit SDK.
gke-alert-configuration
Generates Terraform alerting policies for GKE workloads using PromQL and Managed Service for Prometheus.
google-mobile-ads-rewarded
Implements Google Mobile Ads SDK rewarded ads in Android, iOS, and Unity applications.
data-manager-api-event-ingestion
Implements event and conversion ingestion via the Google Data Manager API ingest endpoint.
google-cloud-networking-observability
Investigates Google Cloud networking issues using logs, metrics, and Connectivity Tests.
spanner-basics
Provisions Spanner instances, designs schemas, and diagnoses query performance issues.
datalineage-bigquery-asset-impact-analysis
Analyzes downstream blast radius of broken or modified BigQuery tables and views using Data Lineage API.
google-cloud-solution-n-tier-serverless-web-app
Designs secure n-tier serverless web applications on Google Cloud with Terraform code.
gke-upgrades
Plans, executes, and troubleshoots GKE cluster upgrades and maintenance operations.
cloud-logging-query-generation
Generates Logging Query Language queries for Google Cloud Logging from natural language.
google-cloud-waf-sustainability
Generates sustainability guidance for Google Cloud workloads using Well-Architected Framework principles.
iam-helper-for-policy-management
Manages IAM allow and deny policies across Google Cloud resource hierarchies via gcloud CLI.
agent-platform-prompt-management
Create, list, retrieve, version, and delete managed prompts in Agent Platform via the Vertex AI SDK.
gke-inference
Deploys and optimizes AI/ML inference workloads on GKE using GPUs, TPUs, and model servers.
gke-service-networking
Configures GKE Gateway API, Ingress, Cloud Armor, NEGs, and Private Service Connect networking.
google-cloud-global-frontend-configuration
Designs and deploys Google Cloud global external Application Load Balancers with Cloud CDN and Cloud Armor.
Frequently Asked Questions About alon3153
FAQPage SchemaWhat tasks can I accomplish with alon3153's Google Cloud skills?▼
You can provision and upgrade GKE clusters, troubleshoot pods and TPU/GPU disruptions, configure IAM policies and Privileged Access Manager, run BigQuery and Spanner analytics, deploy Gemini models on Agent Platform, build Genkit apps, and integrate Google Ads, Analytics, and Mobile Ads SDKs.
Who are these skills designed for?▼
They target cloud platform engineers, SREs, and Kubernetes administrators managing GKE fleets, ML engineers deploying and evaluating models on Agent Platform, security teams handling IAM and SecOps detection engineering, and developers integrating Google Ads, Analytics, or Genkit-based AI features.
How do the GKE troubleshooting skills work in practice?▼
Skills like gke-workload-troubleshooting and gke-node-notready inspect pod events, kubelet and containerd logs, and node metrics to diagnose failures such as CrashLoopBackOff or NotReady nodes, then propose safe remediations. Specialized variants cover JobSet interruptions and TPU v6e out-of-memory issues.
Are these skills open source and what do they cost?▼
Several skills, including google-cloud-storage-basics, gcsfuse, and the IMA SDK integrations, carry Apache-2.0 licenses at no cost. Usage of underlying Google Cloud services such as GKE, BigQuery, and Agent Platform is billed separately under standard Google Cloud pricing.
What prerequisites are required to use these skills?▼
Most skills require active Google Cloud credentials, Application Default Credentials, and the relevant APIs enabled. The Google Ads MCP setup requires Python 3.12+ and pipx, the Ads API quickstart needs outbound HTTPS connectivity, and Gemini API skills require Agent Platform API enablement.