Agent Workflows · Google Cloud · For developers

Searches, manages and scaffolds skills in the Gemini Enterprise Agent Platform Skill Registry using bundled Python scripts and Google Cloud credentials.

google/skills

Template-agnostic Orchestrator Skill for generating and executing exhaustive testing suites for any migration template.

GoogleCloudPlatform/DataflowTemplates

Inspects, searches, and reads files and POSIX metadata on Filestore (NFS) instances on Google Cloud without local NFS client packages or root privileges.

google/skills

GCP Secret Manager integration: validate setup, fetch values, or confirm an NPMTOKEN is non-revoked via npm whoami.

ruvnet/metaharness

Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations.

google/skills

Stores, retrieves, and manages data as objects in Cloud Storage on Google Cloud (also known colloquially as GCS) buckets.

google/skills

Searches, retrieves, and synthesizes official Google developer documentation across Google Cloud, AI/Gemini, Android, Chrome, Web, Flutter, Go, Firebase, and other Google developer platforms.

google/skills

Guides agents to interactively discover customer requirements for live, bidirectional multi-agent AI systems that process continuous streams of multimodal data for real-time technical guidance and…

google/skills

Designs a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices.

google/skills

Designs, builds, and deploys AI agents or multi-agent systems on Google Cloud.

google/skills

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/skills

Release-readiness umbrella check for a scaffolded harness — runs doctor, witness verify, hardcoded-path scan, MCP server config, and GCP Secret Manager validation in one shot.

ruvnet/metaharness

Build, evaluate, deploy, publish, or modernize Google ADK agent applications with Google's maintained agents-cli workflow.

jeremylongshore/tons-of-skills-marketplace

Inspect and validate Vertex AI Agent Engine deployments including Code Execution Sandbox, Memory Bank, A2A protocol compliance, and security posture.

jeremylongshore/tons-of-skills-marketplace

Scaffold production-ready AI agents on Google's Agent Development Kit (ADK): ReAct-style single agents, multi-agent orchestration (Sequential/Parallel/Loop), tool wiring, evaluation, and optional…

jeremylongshore/tons-of-skills-marketplace

Install/auth CLIs the sandbox lacks - gws (Drive, Gmail, Sheets, Calendar), gcloud, agents-cli, mcp-cli (MCP servers).

google/adk-recipes