Google Agent Skills

Configures best-practice alerting policies for AI agents using OpenTelemetry (OTel) metrics, generating output as Terraform (.tf) configuration files.

Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check the status of an in-progress deployment operation, or clean up resources by…

Manages Agent Platform serving endpoints.

Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology.

Connects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama, DeepSeek,…

Guides agents and users through migrating from Gemini API in Google AI Studio to Gemini Enterprise Agent Platform (formerly Vertex AI).

Agent Platform Model Registry Management.

Manages and orchestrates prompts in Agent Platform.

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK.

Interact with the Gemini Enterprise Agent Platform Skill Registry to create and search for available skills.

Troubleshoots Google Cloud Gemini Enterprise Agent Platform issues (Agent Gateway, Registry, Identity, Policies, Model Armor, Identity-Aware Proxy (IAP)).

Agent Platform Model Tuning.

Manages GenAI tuning jobs in Agent Platform.

Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations.

Processes GCP infrastructure design and deployment workflows within Application Design Center (ADC).

Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics.

Manages datasets, tables, and jobs in BigQuery.

Generates Python code using BigQuery DataFrames (BigFrames).

Provides data-retrieval best practices, tool selection guidance, and performant SQL query syntax for BigQuery telemetry across INFORMATION_SCHEMA, Cloud Monitoring, and…

Analyzes Google Cloud BigQuery slot consumption, query costs, and execution bottlenecks using INFORMATION_SCHEMA.

Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable.

Teaches the fundamentals of Google Cloud Build (GCB).

Guides users through discovering their database requirements, recommends a Google Cloud database based on a recommendation matrix, and assists in database creation.

Configure single-project Google Cloud Logging: regional log buckets, log sinks, log views, restricting or hiding sensitive logs in the default view (_Default) filter,…

Configure and troubleshoot Google Cloud cross-project centralized logging and read-time aggregation.

Generates Logging Query Language (LQL) queries for Google Cloud Logging from natural language.

Generates Google Cloud Monitoring Server-Driven UI (SDUI) Widget and XyChart Protocol Buffer textprotos from resolved PromQL or ListTimeSeries queries.

Generates valid Cloud Monitoring ListTimeSeries requests and aggregation specifications from metric descriptors and resource parameters.

Retrieve, query, and identify relevant Google Cloud Monitoring metric descriptors for a GCP service or resource (such as Compute Engine, Spanner, BigQuery, Cloud Run,…

Generates valid PromQL queries from Cloud Monitoring metric descriptors and resource parameters.

Configures best-practice, high-signal alerting policies for Google Cloud Run resources (services, jobs, and worker pools) based on seasoned SRE practices.

Manages Cloud Run services, jobs, and worker pools.

This file generates or explains Cloud SQL resources.

Analyzes the downstream impact (blast radius) when a BigQuery table or view is broken, stale, or modified.

Summarizes Google Cloud Data Lineage graphs to help users debug data quality issues and understand data provenance for BQ/GCS.

Translates Snowflake dbt SQL models to Standardized BigQuery SQL.

Automates the end-to-end detection engineering workflow in Google SecOps using MCP tools.

Provides guidance and instructions on managing remote devices on Developer Device Platform (DDP).

Generates code and provides documentation for the Genkit Dart SDK.

Develop AI-powered applications using Genkit in Go.

Develop AI-powered applications using Genkit in Node.js/TypeScript.

Develop AI-powered applications using Genkit in Python.

Provides foundational Firebase CLI setup, CLI installation, version checks (firebase-tools@latest --version), CLI login (including --no-localhost), project creation,…

Provides safety-critical validation, guardrails, and data reduction for gcloud CLI operations across Google Cloud Platform (GCP) services and infrastructure.

Manages custom Agent resources on Gemini Enterprise Agent Platform.

Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform.

Guides the usage of Gemini Interactions API on Gemini Enterprise Agent Platform.

Generates a Gemini LiveAPI client service class in the user's chosen programming language.

Diagnoses, predicts, and mitigates node disruptions during Compute Engine host maintenance and hardware or software maintenance events for GPU and TPU workloads on GKE.

Diagnoses GKE JobSet interruptions, restarts, and preemptions for AI/ML training workloads autonomously.

Monitors, troubleshoots, and manages GKE TPU Dynamic Slices custom resources.

Monitors and troubleshoots GKE TPU workloads, nodes, and node pools using GKE system metrics and PromQL.

Diagnoses and prevents vbar_control_agent segfaults, out-of-memory (OOM) errors, and TPU device initialization failures on TPU v6e nodes in GKE caused by race conditions…

Configures alerting policies in Terraform for Google Kubernetes Engine (GKE) clusters, workloads, and services using PromQL and Google Cloud Managed Service for…

Manages GKE application onboarding, covering containerization, deployment manifests, and migration.

Configures Backup for GKE: the BackupRestore cluster addon, BackupPlan and RestorePlan resources, restore workflows, and CMEK-encrypted backups.

Manages core GKE cluster provisioning, credentials, Autopilot vs Standard selection, and workload deployment.

Runs batch and HPC workloads on GKE, utilizing job queues and parallel processing.

Trigger on mention of GKE cluster autoscaler, node autoscaling, node pool auto-creation / node auto-provisioning.

Plans and executes GKE cluster creation, provisioning, and production readiness audits using pre-defined templates (Autopilot, Standard Regional, GPU/AI Inference, AI…

Configures, optimizes, and troubleshoots GKE ComputeClasses.

Answer natural language questions and perform analysis on GKE cluster and workload costs using BigQuery billing exports, cost allocation data, and live cluster…

Optimizes GKE costs, rightsizes workloads, and configures Spot VMs, CUDs, cost allocation, and resource quotas.

Discovers golden base images for creating GKE custom node images based on technical specifications or context clues.

Provides GKE golden path configuration defaults, production readiness checklists, and cluster default patterns.

Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers.

Generates and updates secure, production-ready Kubernetes YAML manifests optimized for GKE Autopilot and GKE Standard clusters.

Plans and configures multi-tenancy on GKE.

Plans, configures, and manages core GKE cluster networking.

Diagnoses GKE nodes reporting NotReady or Unknown status by inspecting node conditions, events, kubelet/containerd logs, and node metrics, then proposing safe…

Configures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus.

Plans, configures, and hardens platform-level Google Kubernetes Engine (GKE) cluster security.

Orchestrates comprehensive production readiness reviews and assessments for GKE clusters and workloads across scalability, security, reliability, observability,…

Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints.

Configures GKE edge networking, traffic routing, load balancing, and private service endpoints.

Manages GKE storage, including PVCs, PersistentVolumes, Filestore, and GCS FUSE.

Diagnoses GKE persistent-storage failures — volume attach/mount errors (Regional PD on optimized VMs, fsGroup mount timeouts), disk-performance and node storage-pressure…

Plans, executes, and validates Google Kubernetes Engine (GKE) cluster upgrades and maintenance operations for both Standard and Autopilot clusters.

Diagnoses Workload Identity Federation for GKE authentication failures for Pods (403 "iam.serviceAccounts.getAccessToken" / permission denied, "could not find default…

Manages scaling for GKE workloads using HPA and VPA.

Diagnoses GKE HorizontalPodAutoscaler (HPA) failures — metrics showing as <unknown>, FailedGetResourceMetric / FailedGetScale / FailedComputeMetricsReplicas events,…

Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces.

Diagnoses GKE workload failures (CrashLoopBackOff, OOMKilled, ImagePullBackOff, Pending, etc.) via logs and events.

Onboarding entrypoint for agents-cli in Agent Platform.

Audits Google Cloud Filestore instances across projects for disaster recovery readiness (missing or stale backups), security access governance (overly permissive NFS…

Inspects Google Cloud Filestore capacity and utilization, evaluates storage scaling rules, and performs capacity autoscaling (scale UP for low free space or scale DOWN…

Diagnoses and resolves Google Cloud Filestore client mount failures, permission errors (EACCES), and network timeouts (ETIMEDOUT).

Inspects, searches, and reads files and POSIX metadata on Google Cloud Filestore (NFS) instances without local NFS client packages or root privileges.

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…

Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics.

Provides expert guidance on authenticating and authorizing to Google Cloud services and APIs, covering human users, service identities, Application Default Credentials…

Deploys a baseline landing zone foundation for a Google Cloud Organization, establishing security guardrails using Organization Policies, resource hierarchy folders and…

Guides a developer's first steps on Google Cloud, covering account creation, billing setup, project management, and deploying a first resource.

Queries and retrieves active security findings, external exposures, toxic combinations, vulnerabilities, threats, and sensitive data risks from Google Cloud Security…

Configures PromQL-based Service Level Objective (SLO) alerting policies for Google Cloud resources registered in App Hub or individually specified.

Guides agents to interactively discover customer requirements for live, bidirectional multi-agent AI systems that process continuous streams of multimodal data for…

Discovers requirements and designs a borderless open data lakehouse using Lakehouse for Apache Iceberg and BigQuery data agents.

Designs a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices.

Discovers requirements and designs an end-to-end governed agentic analytics solution using Knowledge Catalog and Managed Service for Apache Spark (Lightning Engine).

Interactively discovers requirements and designs holistic, multi-product system architectures, solution blueprints, and deployment recommendations for complex workloads…

Designs, builds, and deploys AI agents or multi-agent systems on Google Cloud.

Guides the migration of existing AI workloads (Cloud Run, Gemini API, Gemini Enterprise Agent Platform) to self-hosted GKE inference using gcloud and kubectl.

Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search.

Designs, deploys, and secures Google Cloud Agent Gateway solutions.

Assists in designing and implementing secure n-tier serverless web applications and microservices on Google Cloud.

Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in…

Stores, retrieves, and manages data as objects in Cloud Storage (Google Cloud Storage, or GCS) buckets.

Creates Cloud Storage (Google Cloud Storage, or GCS) buckets.

Mounts Cloud Storage buckets as a POSIX file system with Cloud Storage FUSE (gcsfuse).

Generates cost optimization guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF).

Generates operations-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Operational Excellence pillar of the Google…

Generates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization pillar of the Google…

Generates guidance for reliability, resilience, availability, redundancy, fault-tolerance, and disaster recovery (DR) for Google Cloud workloads based on the design…

Generates security-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF).

Provides recommendations for environmental sustainability, carbon footprint reduction, and energy efficiency based on the Sustainability pillar of the Google Cloud…

Streamlines the creation, modification, and management of IAM allow policies (v1) and deny policies (v2).

Safely simulates and applies Google Cloud IAM v1 (Allow) policy changes.

Manages the end-to-end lifecycle of on-demand, temporary access using Privileged Access Manager (PAM).

Diagnoses, remediates, and manages Google Cloud Identity and Access Management (IAM) access issues.

Provides guidance for authoring Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer).

Provides guidance for troubleshooting Apache Airflow DAGs (failed DAG runs and task instances) in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer).

Provides guidance for migrating Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer).

Manage Google Security Operations (SecOps) SOAR cases throughout their lifecycle.

Author, validate, test, and deploy YARA-L 2.0 detection rules and evaluate end-to-end detection coverage gaps in Google SecOps.

Expert guidance for proactive threat hunting in Google SecOps.

Expert guidance for deep security incident and entity investigations in Google SecOps.

Expert guidance for security alert triage in Google SecOps.

Assists in provisioning instances and databases, designing performant schemas, and querying data in Spanner.

Use this skill to manage Google Cloud Workload Manager evaluations, rules, scanned resources, and validation results by using public client libraries and the REST API.

Guides developers through managing (adding, removing, and clearing) audience members for Google products using the Data Manager API and its associated client libraries.

Guides developers through implementing event and conversion ingestion to Google products using the Data Manager API /v1/events/ingest endpoint and its associated client…

Guides developers through client library installation and authentication setup steps for the Data Manager API.

Diagnoses Google Ads account performance issues such as conversion loss (value or volume), low lead flow/volume, and lost impression share (opportunities) due to ad…

Guides developers through downloading, configuring, and installing the official open-source Google Ads MCP Server.

Guides developers through Google Ads API quickstart: credential setup, choosing from 6 client libraries/REST, configuring environments, and running a "retrieve…

Migrates Android applications from the old, legacy Google Mobile

Provides instructions to implement, integrate, or configure Google Mobile Ads (GMA) banner ads in Android, iOS, or Unity mobile applications.

Provides instructions for integrating the Google Mobile Ads (GMA) SDK.

Provides instructions for implementing, integrating, or configuring Google Mobile Ads (GMA) SDK interstitial ads in Android, iOS, or Unity mobile applications.

Provides instructions for implementing, integrating, or configuring Google Mobile Ads (GMA) SDK rewarded ads in Android, iOS, or Unity mobile applications.

Validates a project's Google Mobile Ads (GMA) SDK integration for iOS, Android, or Unity projects.

Integrates the Google Interactive Media Ads (IMA) Dynamic Ad Insertion (DAI) SDK into websites, web apps, mobile apps, or TV apps.

Supports Interactive Media Ads (IMA) SDK.

This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state…

This skill should be used when the user wants to "deploy an agent", "deploy my ADK agent", "set up CI/CD", "configure secrets", "troubleshoot a deployment", or needs…

This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures",…

This skill should be used when the user wants to "set up tracing", "monitor my agent", "configure logging", "add observability", "debug production traffic", or needs…

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini Enterprise", "publish to Gemini Enterprise",…

This skill should be used when the user wants to "create an agent project", "start a new ADK project", "build me a new agent", "add CI/CD to my project", "add…

This skill should be used when the user wants to "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "deploy an…

Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams,…

Manages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics Data API (v1beta).

Locates and loads the right Google product skill on demand from a remote catalog index, instead of preloading every skill.

Searches, retrieves, and synthesizes official Google developer documentation across Google Cloud, AI/Gemini, Android, Chrome, Web, Flutter, Go, Firebase, and other…

Implement and debug OAuth 2.0 DPoP (RFC 9449) refresh token sender-constraining for WebCrypto, Node.js ES6, and browser runtimes integrating with Google's OAuth platform.