Public Agent Skills by google on Lightlines.
Deploys Model Garden models to Agent Platform endpoints, checks deployment status and cost, and cleans up deployed resources.
Creates, lists, retrieves, versions, and deletes managed prompts in Agent Platform.
Manage BigQuery datasets, tables, jobs, queries, and basic data ingestion and analysis.
Manages Cloud Run services, jobs, and worker pools for HTTP applications, scheduled tasks, and always-on background processing.
Manages remote Android device reservations, connection tunnels, session status, and lease changes on Developer Device Platform.
Manages stateful custom Agent resources and their configurations through the Gemini Enterprise Agent Platform REST API.
Guides enterprise Gemini API usage on Agent Platform with the Google Gen AI SDK.
Diagnoses JobSet interruptions, restarts, and preemptions in large-scale GKE AI/ML workloads.
Creates hardened, cost-aware Kubernetes manifests for workloads on GKE Autopilot and GKE Standard.
Diagnoses GKE application workload failures and proposes fixes without mutating the live cluster.
Guides Python ADK agent implementation with API patterns and worked recipes.
Deploys agents to Agent Runtime, Cloud Run, or GKE with guidance for infrastructure, credentials, CI/CD, verification, and recovery.
Evaluates agents, diagnoses failures, and iterates code or prompt fixes while comparing results.
Creates, enhances, or upgrades agent projects with deployment, CI/CD, and infrastructure scaffolding.
Guides users through designing, scaffolding, building, evaluating, deploying, publishing, and monitoring an agent.
Guides users in choosing secure authentication and authorization approaches for Google Cloud services and APIs.
Guides a new developer through authentication, project selection or creation, billing linkage, and setup verification on Google Cloud.
Evaluates Google Cloud workloads and provides performance recommendations for resource allocation, modular design, elasticity, and continuous improvement.
Provides sustainability recommendations for assessing, designing, and optimizing Google Cloud workloads.
Provision Spanner resources, design performant schemas, query data, and diagnose performance issues.