The google/skills repository is a collection of Agent Skills designed to enable AI agents to interact with Google products and technologies, with particular emphasis on Google Cloud services. Written in Python, the repository serves as a centralized resource for developers building agentic systems that need to leverage Google's ecosystem. The repository is explicitly marked as under active development, indicating ongoing expansion and refinement of its capabilities.
The skills are organized into multiple functional categories covering different aspects of Google Cloud and related services. The Getting Started category provides foundational skills for authentication and onboarding to Google Cloud. Multi-product solution skills enable complex workflows such as solution architecture, agentic analytics across cloud providers, data lakehouse systems, AI agent deployment, data science workflows, multimodal streaming, AI workload migration, enterprise search with RAG, and serverless web application architecture. The AI/ML category is particularly extensive, encompassing Agent Platform skills for alert configuration, endpoint management, model deployment, model registry management, model tuning, prompt management, RAG engine management, and troubleshooting. This category also includes skills for BigQuery AI and ML, Gemini API integration, and migration guidance from AI Studio to Agent Platform.
Infrastructure skills focus heavily on Google Kubernetes Engine (GKE), covering cluster creation, networking, storage, autoscaling, multi-tenancy, reliability, backup and disaster recovery, batch and HPC workloads, TPU management, and workload troubleshooting. Additional infrastructure skills address global load balancer configuration, networking observability, and Cloud Storage basics. The databases and analytics category includes skills for AlloyDB, BigQuery, Bigtable, Cloud SQL, Spanner, data lineage analysis, and Apache Airflow migration. Developer tools skills provide gcloud CLI integration and Google Agents CLI onboarding, while management tools cover Cloud Monitoring, Cloud Logging, cost analysis and optimization, and the Well-Architected Framework across all six pillars: cost optimization, operational excellence, performance optimization, reliability, security, and sustainability.
Security and identity skills address GKE platform and workload security alongside detection engineering coverage evaluation. Web and app hosting skills cover Cloud Run and Firebase, while advertising skills encompass Google Mobile Ads SDK integration, Google Ads API functionality, and Data Manager API operations. Analytics skills provide access to Google Analytics Admin and Data APIs.
According to GitGenius tracking data, the repository has demonstrated modest but consistent growth, with stargazers increasing from 16089 to 16102 and forks growing from 1282 to 1284 since August 7, 2026. The median issue and pull request response latency stands at 58.6 hours across 26 tracked items, though the mean of 561.6 hours indicates occasional longer-resolution cases. The most active contributors tracked are kumar-dhanagopal with 14 events, rsamborski with 7 events, and gaurika-analyst with 3 events. Enhancement requests represent the primary issue category. The repository overlaps with contributors from flutter/flutter, koala73/worldmonitor, and virattt/ai-hedge-fund, suggesting cross-pollination within Google's developer ecosystem and broader AI agent development communities.
