writing-skills
writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment
gcp-cloud-runGCP 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
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)
deployment-engineer Agent| Task | Use This Skill | Use deployment-engineer Agent |
|---|---|---|
| Pub/Sub consumer function | YES | No |
| Cloud Storage trigger function | YES | No |
| HTTP webhook / short-lived invocation | YES | No |
| Cold start optimization | YES | No |
| Long-running Cloud Run service | No | YES |
| CI/CD pipeline design (service) | No | YES |
| Terraform Cloud Run service module | No | YES (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.
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
Before writing any Cloud Run Function code:
python:3.14-slim | node:24-alpine | eclipse-temurin:21-jre-alpinePORT env var (Cloud Run injects this, default 8080)GET /health → { "status": "ok" }docker skill loaded for Dockerfile (multi-stage, non-root user)| File | Load When |
|---|---|
reference/cloud-run-functions.md | Writing a Pub/Sub, Storage, or HTTP trigger function |
reference/cold-start-optimization.md | Function is slow to start or you need --cpu-boost flags |
assets/cloud-run-antipatterns.md | Reviewing any Cloud Run code or config for correctness |
docker skill → reference/dockerfiles.md for all 4 stack Dockerfilesdeployment-engineer agentterraform-specialist agentadk-deploy-guide skill (has ADK-specific Cloud Run patterns)docs/workflows/deployment-ci-cd.mdsecurity-reviewer agent after implementation# .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), seereference/cold-start-optimization.md.