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/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.

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useful-ai-prompts
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$ npx -y skills add aj-geddes/useful-ai-prompts --skill gcp-cloud-functions --agent claude-code

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  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/gcp-cloud-functions

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

SKILL.md

gcp-cloud-functions.SKILL.md
name: gcp-cloud-functions
description: >
  Deploy serverless functions on Google Cloud Platform with triggers, IAM roles,
  environment variables, and monitoring. Use for event-driven computing on GCP.

GCP Cloud Functions

Table of Contents

  • [Overview](#overview)
  • [When to Use](#when-to-use)
  • [Quick Start](#quick-start)
  • [Reference Guides](#reference-guides)
  • [Best Practices](#best-practices)

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](references/cloud-function-creation-with-gcloud-cli.md) | Cloud Function Creation with gcloud CLI | | [Cloud Functions Implementation (Node.js)](references/cloud-functions-implementation-nodejs.md) | Cloud Functions Implementation (Node.js) | | [Terraform Cloud Functions Configuration](references/terraform-cloud-functions-configuration.md) | 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
Read more
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