Agent Skills: GCP Cloud Functions

Deploy serverless functions on Google Cloud Platform with triggers, IAM roles, environment variables, and monitoring. Use for event-driven computing on GCP.

UncategorizedID: aj-geddes/useful-ai-prompts/gcp-cloud-functions

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pnpm dlx add-skill https://github.com/aj-geddes/useful-ai-prompts/tree/HEAD/skills/gcp-cloud-functions

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skills/gcp-cloud-functions/SKILL.md

Skill Metadata

Name
gcp-cloud-functions
Description
>

GCP Cloud Functions

Table of Contents

Overview

Google Cloud Functions enables event-driven serverless computing on Google Cloud Platform. Build functions with automatic scaling, integrated security, and seamless integration with Google Cloud services for rapid development.

When to Use

  • HTTP APIs and webhooks
  • Pub/Sub message processing
  • Storage bucket events
  • Firestore database triggers
  • Cloud Scheduler jobs
  • Real-time data processing
  • Image and video processing
  • Data pipeline orchestration

Quick Start

Minimal working example:

# Install Google Cloud SDK
curl https://sdk.cloud.google.com | bash
exec -l $SHELL

# Initialize and authenticate
gcloud init
gcloud auth application-default login

# Set project
gcloud config set project MY_PROJECT_ID

# Create service account
gcloud iam service-accounts create cloud-function-sa \
  --display-name "Cloud Function Service Account"

# Grant permissions
gcloud projects add-iam-policy-binding MY_PROJECT_ID \
  --member="serviceAccount:cloud-function-sa@MY_PROJECT_ID.iam.gserviceaccount.com" \
  --role="roles/cloudfunctions.invoker"

# Deploy HTTP function
gcloud functions deploy my-http-function \
  --gen2 \
  --runtime nodejs18 \
  --region us-central1 \
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

| Guide | Contents | |---|---| | Cloud Function Creation with gcloud CLI | Cloud Function Creation with gcloud CLI | | Cloud Functions Implementation (Node.js) | Cloud Functions Implementation (Node.js) | | Terraform Cloud Functions Configuration | Terraform Cloud Functions Configuration |

Best Practices

✅ DO

  • Use service accounts with least privilege
  • Store secrets in Secret Manager
  • Implement proper error handling
  • Use environment variables for configuration
  • Monitor with Cloud Logging and Cloud Monitoring
  • Set appropriate memory and timeout
  • Use event filters to reduce invocations
  • Implement idempotent functions

❌ DON'T

  • Store secrets in code
  • Use default service account
  • Create long-running functions
  • Ignore error handling
  • Deploy without testing
  • Use unauthenticated access for sensitive functions