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Agent Workflows · Google Cloud · For devops and sre engineers
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- For devops and sre engineers (remove filter)
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Designs, deploys, and secures Google Cloud Agent Gateway solutions. | google/ | 21k | — | ~3.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2 | Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations. | google/ | 21k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 3 | Inspects Filestore capacity and utilization on Google Cloud, evaluates storage scaling rules, and performs capacity autoscaling (scale UP for low free space or scale DOWN for cost optimization). | google/ | 21k | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 4 | Guides the migration of existing AI workloads (Cloud Run, Gemini API, Gemini Enterprise Agent Platform) to self-hosted GKE inference using gcloud and kubectl. | google/ | 21k | — | ~8.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 5 | Inspect and validate Vertex AI Agent Engine deployments including Code Execution Sandbox, Memory Bank, A2A protocol compliance, and security posture. | jeremylongshore/ | 2.8k | — | ~1.7k | Automated safety check: Pass | MIT | yesterday |
