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gcp-cloud-run

gcp-cloud-run

GCP Cloud Run deployment skill. Use for Cloud Run Functions (event-driven Pub/Sub, Storage, HTTP webhooks), cold start optimization, and Cloud Run anti-pattern prevention. For Cloud Run service deployment use deployment-engineer agent. Triggers: cloud run, cloud function, pub/sub trigger, cold start, serverless, event-driven GCP, cloud storage trigger.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: gcp-cloud-run description: "GCP Cloud Run deployment skill. Use for Cloud Run Functions (event-driven Pub/Sub, Storage, HTTP webhooks), cold start optimization, and Cloud Run anti-pattern prevention. For Cloud Run service deployment use deployment-engineer agent. Triggers: cloud run, cloud function, pub/sub trigger, cold start, serverless, event-driven GCP, cloud storage trigger." allowed-tools: Bash, Read, Write, Edit, Glob, Grep metadata: triggers: ["cloud run", "cloud function", "pub/sub trigger", "cold start", "serverless", "event-driven GCP", "cloud storage trigger"] related-skills: [docker, adk-deploy-guide, architecture-design] domain: backend role: specialist scope: deployment output-format: code last-reviewed: "2026-03-14"

GCP Cloud Run

Iron Law

NO CLOUD RUN FUNCTION WITHOUT:
1. A stack-specific health check endpoint (GET /health → 200)
2. GitHub Actions workflow (NEVER cloudbuild.yaml)
3. Workload Identity Federation (NEVER service account JSON keys)

This Skill vs deployment-engineer Agent

TaskUse This SkillUse deployment-engineer Agent
Pub/Sub consumer functionYESNo
Cloud Storage trigger functionYESNo
HTTP webhook / short-lived invocationYESNo
Cold start optimizationYESNo
Long-running Cloud Run serviceNoYES
CI/CD pipeline design (service)NoYES
Terraform Cloud Run service moduleNoYES (terraform-specialist)

Key distinction: Cloud Run Functions = event-driven, ephemeral, short-lived invocations. Cloud Run Services = long-running, persistent, serve steady traffic → use deployment-engineer.


Pattern Selector

What are you building?
    |
    +-- Pub/Sub consumer, Storage trigger, HTTP webhook?
    |   -> Load: reference/cloud-run-functions.md
    |   -> Pick your stack section (Python, NestJS, Spring Boot, TypeScript/Fastify)
    |
    +-- Cold start is too slow in staging or prod?
    |   -> Load: reference/cold-start-optimization.md
    |   -> Apply flags from the optimization table
    |
    +-- Reviewing existing Cloud Run code or config?
        -> Load: assets/cloud-run-antipatterns.md
        -> Run through checklist before declaring done

Quick Start Checklist

Before writing any Cloud Run Function code:

  • Chose event trigger type: Pub/Sub push | Cloud Storage notification | HTTP
  • Selected target stack: Python FastAPI | NestJS | Spring Boot WebFlux | TypeScript/Fastify
  • Verified runtime version: python:3.14-slim | node:24-alpine | eclipse-temurin:21-jre-alpine
  • Confirmed port binding: PORT env var (Cloud Run injects this, default 8080)
  • Health check endpoint planned: GET /health → { "status": "ok" }
  • WIF configured or planned (no service account JSON keys)
  • docker skill loaded for Dockerfile (multi-stage, non-root user)

Reference Files

FileLoad When
reference/cloud-run-functions.mdWriting a Pub/Sub, Storage, or HTTP trigger function
reference/cold-start-optimization.mdFunction is slow to start or you need --cpu-boost flags
assets/cloud-run-antipatterns.mdReviewing any Cloud Run code or config for correctness

Cross-References

  • Dockerfiles: Load docker skill → reference/dockerfiles.md for all 4 stack Dockerfiles
  • Cloud Run Service (long-running): Dispatch deployment-engineer agent
  • Terraform infrastructure: Dispatch terraform-specialist agent
  • ADK agent on Cloud Run: Use adk-deploy-guide skill (has ADK-specific Cloud Run patterns)
  • GitHub Actions pipeline: docs/workflows/deployment-ci-cd.md
  • Security review (WIF, secrets): Dispatch security-reviewer agent after implementation

GitHub Actions Deploy Snippet (All Stacks)

# .github/workflows/deploy-function.yml
name: Deploy Cloud Run Function

on:
  push:
    branches: [develop, main]

env:
  PROJECT_ID: ${{ vars.GCP_PROJECT_ID }}
  REGION: us-central1
  FUNCTION_NAME: my-function
  REGISTRY: ${{ vars.GCP_REGION }}-docker.pkg.dev

jobs:
  deploy:
    runs-on: ubuntu-latest
    permissions:
      id-token: write    # Required for Workload Identity Federation
      contents: read

    steps:
      - uses: actions/checkout@v4

      - name: Authenticate to GCP
        uses: google-github-actions/auth@v2
        with:
          workload_identity_provider: ${{ vars.WIF_PROVIDER }}
          service_account: ${{ vars.WIF_SERVICE_ACCOUNT }}

      - name: Build and push image
        run: |
          docker build -t $REGISTRY/$PROJECT_ID/$FUNCTION_NAME:${{ github.sha }} .
          gcloud auth configure-docker $REGISTRY --quiet
          docker push $REGISTRY/$PROJECT_ID/$FUNCTION_NAME:${{ github.sha }}

      - name: Deploy to Cloud Run
        run: |
          gcloud run deploy $FUNCTION_NAME \
            --image $REGISTRY/$PROJECT_ID/$FUNCTION_NAME:${{ github.sha }} \
            --region $REGION \
            --platform managed \
            --no-allow-unauthenticated \
            --cpu-boost \
            --min-instances 0 \
            --max-instances 10

For cold start flags (--cpu-boost, --min-instances, memory/CPU ratio), see reference/cold-start-optimization.md.

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