home / skills / jeremylongshore / claude-code-plugins-plus-skills / cloud-run-service-config

cloud-run-service-config skill

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/skills/14-gcp-skills/cloud-run-service-config

This skill provides automated guidance and production-ready configurations for cloud run service config tasks within Google Cloud Platform.

npx playbooks add skill jeremylongshore/claude-code-plugins-plus-skills --skill cloud-run-service-config

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md

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---
name: "cloud-run-service-config"
description: |
  Configure cloud run service config operations. Auto-activating skill for GCP Skills.
  Triggers on: cloud run service config, cloud run service config
  Part of the GCP Skills skill category. Use when configuring systems or services. Trigger with phrases like "cloud run service config", "cloud config", "cloud".
allowed-tools: "Read, Write, Edit, Bash(gcloud:*)"
version: 1.0.0
license: MIT
author: "Jeremy Longshore <[email protected]>"
---

# Cloud Run Service Config

## Overview

This skill provides automated assistance for cloud run service config tasks within the GCP Skills domain.

## When to Use

This skill activates automatically when you:
- Mention "cloud run service config" in your request
- Ask about cloud run service config patterns or best practices
- Need help with google cloud platform skills covering compute, storage, bigquery, vertex ai, and gcp-specific services.

## Instructions

1. Provides step-by-step guidance for cloud run service config
2. Follows industry best practices and patterns
3. Generates production-ready code and configurations
4. Validates outputs against common standards

## Examples

**Example: Basic Usage**
Request: "Help me with cloud run service config"
Result: Provides step-by-step guidance and generates appropriate configurations


## Prerequisites

- Relevant development environment configured
- Access to necessary tools and services
- Basic understanding of gcp skills concepts


## Output

- Generated configurations and code
- Best practice recommendations
- Validation results


## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |


## Resources

- Official documentation for related tools
- Best practices guides
- Community examples and tutorials

## Related Skills

Part of the **GCP Skills** skill category.
Tags: gcp, bigquery, vertex-ai, cloud-run, firebase

Overview

This skill automates Cloud Run service configuration tasks within GCP workflows. It guides you through creating, validating, and applying production-ready Cloud Run service manifests and deployment settings. The skill is designed to follow industry best practices and to integrate with typical DevOps toolchains.

How this skill works

I inspect your request for Cloud Run configuration intent and produce step-by-step guidance, YAML manifests, and CLI or Terraform snippets as needed. I validate required fields, highlight common misconfigurations (like missing IAM bindings or improper concurrency settings), and suggest fixes. Outputs include ready-to-use config files, validation notes, and deployment commands tailored to your environment.

When to use it

You need to create or update a Cloud Run service manifest or deployment.
You want production-ready defaults for concurrency, memory, CPU, and autoscaling.
You need validation and remediation for Cloud Run configuration errors.
You are integrating Cloud Run into CI/CD pipelines or IaC (Terraform/Deployment Manager).
You want examples or templates for connecting Cloud Run to other GCP services (Pub/Sub, Cloud SQL).

Best practices

Use explicit service account bindings and least-privilege IAM roles for each service.
Set resource limits (CPU/memory) and request values to avoid cold-start surprises.
Configure autoscaling (min/max instances) based on predictable traffic patterns and cost constraints.
Enable request logging and structured tracing integration for observability.
Validate YAML or Terraform before deployment and run a dry-run or staging deployment first.

Example use cases

Generate a Cloud Run YAML with container image, env vars, and secrets mounted from Secret Manager.
Create a Terraform snippet to manage multiple Cloud Run services with shared IAM policies.
Validate a failing deployment and provide actionable fixes for permission or config errors.
Produce CI/CD steps to deploy to Cloud Run using gcloud or GitHub Actions.

FAQ

What inputs do you need to generate a config?

Provide service name, container image, region, CPU/memory needs, environment variables, secrets, and desired autoscaling bounds.

Can you produce Terraform and gcloud commands?

Yes — I can generate Terraform resources, gcloud CLI commands, and plain YAML manifests and will indicate which to use for your workflow.