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gcp-cloudrun

Deploy, scale, and manage Cloud Run services using the gcloud CLI.

10|4|Updated Feb 1, 2026
Search Tags:#serverless#gcloud#deploy#traffic-management#google-cloud#cloud-run
One-click install
npx skills add https://github.com/kubony/openclaw-gcp-setup --skill gcp-cloudrun
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gcp-cloudrun
Source: https://github.com/kubony/openclaw-gcp-setup/tree/main/.claude/skills/gcp-cloudrun
Command: npx skills add https://github.com/kubony/openclaw-gcp-setup --skill gcp-cloudrun

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill streamlines the deployment, scaling, and management of Cloud Run services in Google Cloud, reducing manual setup and repetitive tasks.

Core Features & Use Cases

  • Service discovery and deployment: List existing Cloud Run services and deploy new or updated services from source or container images.
  • Traffic and configuration management: Configure traffic splits, region settings, memory, CPU, and concurrency to optimize performance and cost.
  • Observability and maintenance: Retrieve and monitor logs, status, and revisions to maintain reliability across environments.
  • Use Case: Deploy a new service from a local Dockerfile, route traffic to the new revision, and adjust autoscaling settings for production workloads.

Quick Start

Use the gcp-cloudrun skill to deploy a new service from a Dockerfile in the current directory, then route traffic to the new revision.

Frequently Asked Questions about gcp-cloudrun

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy a Cloud Run service from a local Dockerfile?▼

To deploy a Cloud Run service from a local Dockerfile, use the gcp-cloudrun skill to automate pushing the source and deploying the container image directly to Google Cloud. It builds the image and configures the service in your specified region.

How does traffic management work for Google Cloud Run revisions?▼

Traffic management in Google Cloud Run routes a percentage of incoming requests to specific service revisions. The gcp-cloudrun skill automates configuring these traffic splits to safely roll out new deployments or rollback changes.

Do I need the gcloud CLI installed and authenticated to manage Cloud Run services?▼

Yes, you need the gcloud CLI installed, authenticated to a Google Cloud project, and access to enable Cloud Run APIs. The skill relies on this environment setup to execute deployment, scaling, and management commands.

What's the best way to list and monitor Cloud Run services across multiple regions?▼

The best way to list and monitor Cloud Run services across regions is using an automated workflow tool. This skill retrieves service statuses, logs, and revisions across typical production environments to maintain reliability.

Can I configure autoscaling settings like CPU and concurrency for Cloud Run?▼

Yes, you can configure autoscaling settings like CPU, memory, and concurrency limits. The skill automates adjusting these configuration parameters to optimize Cloud Run performance and cost for your specific workloads.

Why use a dedicated workflow for Google Cloud Run instead of manual gcloud commands?▼

Using a dedicated workflow reduces manual setup and repetitive command execution. It streamlines deployment, scaling, and configuration management across regions, minimizing human error during production serverless operations.

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