Overview

This repository provides a comprehensive collection of "Agent Skills" designed to empower AI agents interacting with Google products and technologies. Think of it as a specialized toolkit, enabling your AI to understand, configure, and leverage the vast ecosystem of Google Cloud, Google Ads, and more. This is a dynamic, actively developed resource to supercharge your AI's capabilities.

Key Features

• Extensive Google Product Coverage: From core Google Cloud services (GKE, BigQuery, AlloyDB, Filestore) and AI/ML platforms (Agent Platform, Gemini) to Google Ads API, Firebase, and Google Analytics, this repository offers deep integration points.
• Modular and Installable: Skills are easily installable via npx skills add google/skills, allowing you to select and use only the specific functionalities you need.
• Solution-Oriented Skills: Go beyond basic commands with skills that guide complex multi-product solutions, such as building agentic analytics pipelines, implementing secure multi-agent systems, or deploying AI agents on Google Cloud.
• Developer Productivity Focused: Includes skills for common developer workflows, like using gcloud CLI, managing Cloud Build, and finding relevant Google skills.
• Infrastructure and Management Tools: Deep dives into GKE management, networking, storage, cost optimization, and observability, alongside tools for Cloud Monitoring and Logging.
• Security and Reliability: Features skills for platform and workload security, IAM management, and adherence to the Google Cloud Well-Architected Framework pillars.
• Cross-Platform Agent Harness Support: Bundled plugins for popular agent harnesses like Claude Code, Codex, and Antigravity CLI, ensuring seamless integration into your existing AI development environments.

Typical Use Cases

• Automating Google Cloud Operations: Enable AI agents to provision infrastructure, configure services, monitor resources, troubleshoot issues, and optimize costs within Google Cloud environments.
• Developing Advanced AI Applications: Build sophisticated AI agents that can leverage Gemini APIs, manage AI models, implement RAG systems, and orchestrate complex data science workflows across Google Cloud.
• Streamlining Google Ads Management: Empower AI to interact with the Google Ads API for account diagnostics, performance analysis, and campaign management tasks.
• Accelerating Application Development: Assist developers by providing AI-driven guidance and automation for tasks related to Firebase, Cloud Run, and other web hosting services.
• Enhancing Data Analytics Pipelines: Use AI agents to manage data lineage, perform BigQuery DataFrame operations, and configure data ingestion for analytics platforms.
• Implementing Robust Security Practices: Automate security checks, manage IAM policies, and ensure compliance with security best practices using AI-driven skills.