
π―Skills90
Official Google agent skills for Google Cloud products and technologies, providing skill packs for Gemini API, AlloyDB, BigQuery, Cloud Run, Cloud SQL, Firebase, GKE, along with recipes for onboarding, authentication, and Well-Architected Framework guidance.
Google Cloud skill that teaches AI agents the fundamentals of BigQuery, covering data querying, table management, and analytics workflows on Google Cloud.
Official Google agent skills repository covering Google Cloud products and technologies, including Gemini API, AlloyDB, BigQuery, Cloud Run, Cloud SQL, Firebase, GKE, and Well-Architected Framework patterns for security, reliability, and cost optimization.
Google Cloud recipe skill that walks AI agents through the onboarding process for new Google Cloud projects, covering initial setup, IAM configuration, and project organization.
Part of Google's official Agent Skills repository, providing skills for Google Cloud products and technologies including Gemini API, AlloyDB, BigQuery, Cloud Run, Cloud SQL, Firebase, GKE, along with recipes for onboarding, authentication, and Well-Architected Framework guidance.
Google Cloud skill that provides AI agents with foundational knowledge of Cloud SQL, including database setup, management, and connectivity on Google Cloud.
Google Cloud Well-Architected Framework skill focused on security best practices, helping AI agents apply Google Cloud security principles and recommendations to cloud architectures.
Google Cloud skill that teaches AI agents Firebase fundamentals, including project setup, authentication, database, and hosting configurations for Firebase-based applications.
Google Cloud Well-Architected Framework skill for cost optimization, guiding AI agents to apply cost-efficient practices and resource management across Google Cloud environments.
Google Cloud skill covering Google Kubernetes Engine (GKE) basics, helping AI agents with cluster creation, workload deployment, and container orchestration on Google Cloud.
Google Cloud Well-Architected Framework skill focused on reliability, helping AI agents design and maintain resilient, highly available Google Cloud architectures.
Google Cloud skill for AlloyDB basics, teaching AI agents how to work with Google Cloud's PostgreSQL-compatible database service for enterprise workloads.
An agent skill from Google's official skills repository providing guided workflows for Google Cloud network observability, part of a collection covering GKE, BigQuery, Cloud Run, Firebase, and other Google Cloud services.
Official Google agent skill for using the Gemini API within agent platforms, part of a collection covering Google Cloud services including BigQuery, Cloud Run, Cloud SQL, Firebase, GKE, and AlloyDB.
Google Cloud Agent Platform skill for working with the Skill Registry API, enabling registration, discovery, and management of agent skills within Google's Agent Platform ecosystem.
An agent skill from Google's Well-Architected Framework collection that provides guidance on operational excellence practices for Google Cloud, covering areas like monitoring, incident response, and deployment automation.
A collection of agent skills for Google Cloud products and technologies, including Gemini API, AlloyDB, BigQuery, Cloud Run, Cloud SQL, Firebase, GKE, and the Google Cloud Well-Architected Framework covering security, reliability, cost optimization, and performance.
Provides agent skills for Google Cloud products including Gemini API, AlloyDB, BigQuery, Cloud Run, Cloud SQL, Firebase, GKE, and the Google Cloud Well-Architected Framework. Helps AI agents correctly use Google Cloud services and follow best practices for security, reliability, cost optimization, and performance.
An agent skill from Google's Well-Architected Framework collection that provides guidance on sustainability practices for Google Cloud, helping teams design and operate workloads with environmental efficiency in mind.
An official Google skills repository for AI agents, providing skills for Google Cloud services including Gemini API, Managed Agents API, BigQuery, Cloud Run, Firebase, GKE, and the Google Cloud Well-Architected Framework across security, reliability, cost optimization, and more.
Part of Google's official Agent Skills collection for Google Cloud, providing guidance on deploying agents and applications within the Google Agent Platform using Cloud-native tooling.
Part of Google's official Agent Skills collection for Google Cloud, providing guidance on managing RAG (Retrieval-Augmented Generation) engines within the Google Agent Platform for AI applications.
Part of Google's official Agent Skills collection for Google Cloud, providing guidance on tuning and optimizing agents deployed on the Google Agent Platform for improved performance.
A skill from the Google Agent Skills repository that provides guidance for working with Google Agent Platform tuning and management APIs, helping AI agents configure and manage deployed agents on Google Cloud.
An official Google skills repository providing agent skills for Google Cloud products and technologies, including the Gemini API, Managed Agents API, AlloyDB, BigQuery, Cloud Run, Firebase, GKE, and the Google Cloud Well-Architected Framework.
A Google-official Claude Code skill that teaches agents how to use the Skill Registry API on Google Cloud Agent Platform, enabling AI agents to register, discover, and manage skills programmatically. It is part of Google's official skills repository covering Google Cloud products and technologies.
A Google Agent Skills skill for building evaluation flywheels on Google's Agent Platform, part of the official skills collection covering Gemini API, Google Cloud services, and agent technologies.
Part of Google's official agent skills collection for Google Cloud products, providing guidance on managing endpoints within the Google Agent Platform for deploying and configuring AI agents.
Part of Google's official agent skills collection for Google Cloud, providing guidance on running inference through the Google Agent Platform including Gemini API calls and model configuration.
Part of Google's official agent skills collection that guides migration from Google AI Studio to the Google Agent Platform, covering API translation, configuration mapping, and deployment adjustments.
Google Cloud skill that guides AI agents through setting up network observability on Google Cloud, covering monitoring, logging, and diagnostics for cloud networking infrastructure.
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Google Cloud Agent Platform skill for building and managing AI agents using the Gemini Managed Agents API, enabling creation and orchestration of agents within Google Cloud infrastructure.
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πPlugins17
Connect to Looker.
This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
Connect, query, and interact with Cloud Bigtable.
Connect to Cloud SQL for SQL Server.
Data Analytics skills for BigQuery.
Create, connect, and interact with a Cloud SQL for PostgreSQL database and data.
Skills for Knowledge Catalog.
Core Google Cloud guidance for coding agents: first-project onboarding, authentication and credential selection, and safety-critical validation for gcloud CLI commands. Includes the Google Developer Knowledge MCP server for grounded, up-to-date Google Cloud documentation.
Vetted Google Cloud Storage skills for your coding agent.
Create, connect, and interact with an AlloyDB Omni database and data.
Connect, query, and interact with Oracle Databases and their data within Gemini CLI.
Context Engineering Agent for generating and maintaining QueryData / Conversational Analytics API context sets (templates, facets, value searches) for natural language to SQL tasks. Works with AlloyDB, Cloud SQL for MySQL, Cloud SQL for PostgreSQL, and Spanner.
Connect and interact with Cloud Firestore.
Create, connect, and interact with an AlloyDB for PostgreSQL database and data.
Connect and interact with Spanner data using natural language.
Skills for Dataproc.
Connect and interact with a Cloud SQL for MySQL database and data.