Agent skills by google, page 3

Stores, retrieves, and manages data as objects in Cloud Storage on Google Cloud (also known colloquially as GCS) buckets.

google/skills

Creates Cloud Storage on Google Cloud (also known colloquially as GCS) buckets.

google/skills

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

google/skills

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

google/skills

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

google/skills

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

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Configures, optimizes, and troubleshoots GKE ComputeClasses.

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

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

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Manages scaling for GKE workloads using HPA and VPA. An agent skill from google/skills.

google/skills

Manages Agent Platform serving endpoints. An agent skill from google/skills.

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Agent Platform Model Registry Management. An agent skill from google/skills.

google/skills

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

google/skills

Manages GenAI tuning jobs in Agent Platform. An agent skill from google/skills.

google/skills

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

google/skills

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

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

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

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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.

google/skills

Google platform decision and setup guidance, loaded on demand from Google's skill catalog.

google/skills

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

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

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

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

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

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

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

google/skills

Plans and configures multi-tenancy on GKE. An agent skill from google/skills.

google/skills

Plans, configures, and manages core GKE cluster networking. An agent skill from google/skills.

google/skills

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

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

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

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Orchestrates comprehensive production readiness reviews and assessments for GKE clusters and workloads across scalability, security, reliability, observability, backup/DR, and cost optimization.

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

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

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

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

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

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

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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 rank, bids, or budgets.

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

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

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

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

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

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Interactively discovers requirements and designs holistic, multi-product system architectures, solution blueprints, and deployment recommendations for complex workloads on Google Cloud.

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

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

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