12,210 skills found · Page 73 of 407
google / google-mobile-ads-android-migrate-to-next-genMigrates Android applications from the old, legacy Google Mobile
google / agent-platform-prompt-managementManages and orchestrates prompts in Agent Platform
google / alloydb-basicsManages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations
google / application-design-center-design-deployProcesses GCP infrastructure design and deployment workflows within Application Design Center (ADC)
google / assuredworkloads-frameworks-authorAuthors custom cloud controls and customized frameworks for Assured Workloads when built-in resources cannot satisfy core requirements
google / cloud-logging-query-generationGenerates Logging Query Language (LQL) queries for Cloud Logging on Google Cloud from natural language. Use this skill when you need to query log data or when you are debugging issues. You can filter log data by Google Cloud service.
google / cloud-run-alert-configurationConfigures best-practice, high-signal alerting policies for Cloud Run resources on Google Cloud (services, jobs, and worker pools) based on seasoned SRE practices
google / datalineage-summarySummarizes data lineage graphs on Google Cloud to help users debug data quality issues and understand data provenance for BigQuery and Cloud Storage
google / detection-engineering-coverage-evaluationAutomates the end-to-end detection engineering workflow in Google SecOps using MCP tools
google / developing-genkit-goDevelop AI-powered applications using Genkit in Go
google / firebase-basicsProvides foundational Firebase CLI setup, CLI installation, version checks (`firebase-tools@latest --version`), CLI login (including --no-localhost), project creation, project selection (`firebase use`), and app config file downloads (`google-services.json`, `GoogleService-Info.plist`).
google / gke-ai-troubleshooting-handle-disruption-gpu-tpuDiagnoses, predicts, and mitigates node disruptions during Compute Engine host maintenance and hardware or software maintenance events for GPU and TPU workloads on GKE
google / gke-compute-classesConfigures, optimizes, and troubleshoots GKE ComputeClasses
google / google-cloud-solution-agentic-ai-bidirectional-streamingGuides 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 safety monitoring.
google / google-cloud-solution-agentic-ai-borderless-data-lakehouseDiscovers requirements and designs a borderless open data lakehouse using Lakehouse for Apache Iceberg and BigQuery data agents
google / google-cloud-solution-agentic-ai-data-science-workflowDesigns a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices
google / google-cloud-solution-multi-agent-securityDesigns, deploys, and secures Google Cloud Agent Gateway solutions
google / google-cloud-solution-n-tier-serverless-web-appAssists in designing and implementing secure n-tier serverless web applications and microservices on Google Cloud
google / google-cloud-waf-cost-optimizationEvaluates Google Cloud workloads for cost efficiency and FinOps alignment using the Google Cloud Well-Architected Framework Cost Optimization pillar
google / google-cloud-waf-operational-excellenceGenerates operational guidance for CI/CD deployment pipelines, observability, monitoring, logging, and incident management on Google Cloud based on the design principles and recommendations in the Operational Excellence pillar of the Google Cloud Well-Architected Framework (WAF)
google / google-cloud-waf-performance-optimizationGenerates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization pillar of the Google Cloud Well-Architected Framework (WAF).
google / google-cloud-waf-reliabilityGenerates guidance for reliability, resilience, availability, redundancy, fault-tolerance, and disaster recovery (DR) for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework
google / agent-platform-tuningAgent Platform Model Tuning
google / developer-device-platform-basicsProvides guidance and instructions on managing remote devices on Developer Device Platform (DDP)
google / gemini-live-apiGenerates a Gemini LiveAPI client service class in the user's chosen programming language
google / gke-ai-troubleshooting-jobset-interruptionDiagnoses GKE JobSet interruptions, restarts, and preemptions for AI/ML training workloads autonomously
google / gke-ai-troubleshooting-tpu-dynamic-slices-monitoringMonitors, troubleshoots, and manages GKE TPU Dynamic Slices custom resources
google / gke-ai-troubleshooting-tpu-metrics-monitoringMonitors and troubleshoots GKE TPU workloads, nodes, and node pools using GKE system metrics and PromQL
google / gke-workload-scalingManages scaling for GKE workloads using HPA and VPA
google / google-cloud-networking-observabilityInvestigates Google Cloud networking issues by analyzing GCP logs, metrics, and diagnostics
