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Agent Workflows · Cloud Run
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Configures agystack's model tiers per role and its execution runtime, choosing between local subagents and Cloud Run jobs for large parallel swarms. | jtaroreh/ | 112 | — | ~1.7k | Automated safety check: Pass | MIT | 9 days ago |
| 2 | Inspects, searches, and reads files and POSIX metadata on Filestore (NFS) instances on Google Cloud without local NFS client packages or root privileges. | google/ | 21k | — | ~3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 3 | 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 |
| 4 | Build, evaluate, deploy, publish, or modernize Google ADK agent applications with Google's maintained agents-cli workflow. | jeremylongshore/ | 2.8k | — | ~1.4k | Automated safety check: Pass | MIT | yesterday |
| 5 | Best practices for building AI agents with Google's Agent Development Kit (ADK) in Python, covering agent design, tools, sessions, memory, artifacts, evaluation, and deployment. | Mindrally/ | 271 | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |