Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of recent attention, adoption, and active maintenance.
This collection provides the technical grounding necessary for AI agents to navigate Google Cloud services. It focuses on bridging the gap between natural language intent and precise cloud execution, specifically through gcloud CLI integration and secure identity management.
Automation builders can use these skills to structure how agents handle authentication, authorize service identities, and execute command-line operations across Google Cloud environments.
WHO IT'S FOR
AI agent / automation builders
integrating gcloud CLI capabilities into AI agents
Google Cloud engineers
automating onboarding and authentication workflows
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
Use the google-mobile-ads-validate skill to inspect [PROJECT_PATH] for only these checks: test application IDs and test ad unit IDs. The project platform is [Android, iOS, or Unity]. Do not modify any files. Return a Markdown report containing only the checks actually performed, with status, findings, and next steps.
Use the bigquery-ai-ml skill to draft, but not execute, a BigQuery SQL query that detects anomalies in [PROJECT.DATASET.TABLE]. Use [TIMESTAMP_COLUMN] as the time column and [METRIC_COLUMN] as the numeric metric. Briefly identify any assumptions that must be confirmed before execution.
Use the gke-basics skill to recommend Autopilot or Standard for [WORKLOAD_DESCRIPTION]. Consider whether it needs custom kernel parameters, custom node taints or specific hardware node pools, or DaemonSets with raw hostPath mounts. Return only a short recommendation and rationale; do not create or modify a cluster.
Claude
Codex
Gemini CLI
Antigravity