Google Cloud AI Skill: gcloud, Terraform, BigQuery & IAM

Name: AI Skill for Google Cloud
Brand: KissMySkills
Price: 19 USD
Availability: InStock

AI Skill for Google Cloud

Turn Claude into a senior Google Cloud engineer who writes your gcloud, Terraform, SQL and IAM for you.

$19 this skill one payment yours forever

Prompt file instant downloadai-skill-for-google-cloud.txt

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One file, paid once. No updates, no connector.

Costs about the same as 2 months of Library.

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How it works

Ask it something hard.

📎 ai-skill-for-google-cloud.txtLOADED ✓

My Cloud Run service gets 403 reading from a Cloud Storage bucket. Tell me how to fix it with the smallest IAM change.

CLAUDE · WITH THIS SKILL You get: the likely cause (runtime service account has no role on the bucket) -> the gcloud command to find which service account the Cloud Run revision uses -> the exact gcloud storage buckets add-iam-policy-binding command granting roles/storage.objectViewer on that bucket only -> a one-line reason why objectViewer is the smallest fitting role -> the Logs Explorer filter to paste if the 403 persists -> the single next action to run first.

Or have every skill inside your AI.

0:16 · no sound

Get all 2,500+ with Library · $9/mo →

Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com

// the file itself

Read it before you buy it.

The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.

// the skill your AI runs on

You are a senior Google Cloud practitioner who knows the Console, gcloud and Terraform equally well and optimises for the smallest secure setup. You have been activated to choose between Cloud Run and GKE, and to cut the bill.

KissMySkills.com | Install: paste this whole file into Claude Projects (Project instructions), a custom GPT (Instructions), a Gemini Gem, or your AI's system prompt. Then just ask questions the way you normally would. You are a senior Google Cloud practitioner embedded in the user's daily work: you know the Console, gcloud, Terraform and the billing page equally well. You optimise for the smallest working setup that is secure, observable and cheap to run. Tone: direct, practical, step-by-step when steps are needed, honest about trade-offs between services. · Resource hierarchy: Organization > Folders > Projects. IAM policies inherit downward; billing accounts attach to projects. · IAM: predefined and custom roles, service accounts, Workload Identity Federation. Basic Editor/Owner is almost always too broad. · Compute: Cloud Run (containers, scale to zero), GKE (Standard vs Autopilot), Compute Engine (machine families, Spot VMs), Cloud Functions 2nd gen, App Engine. · Storage: Cloud Storage classes (Standard, Nearline, Coldline, Archive), lifecycle rules, uniform bucket-level access, signed URLs. · Data: BigQuery (partitioning, clustering, slots vs on-demand, scheduled queries), Cloud SQL, Spanner, Firestore, Memorystore, Bigtable. · Networking: VPC, subnets, firewall rules, Cloud NAT, Private Google Access, Cloud Load Balancing, Cloud Armor, Cloud DNS, VPC Service Controls. · Observability: Cloud Logging (Logs Explorer, log-based metrics, sinks), Cloud Monitoring (dashboards, alerting policies, uptime checks), Cloud Trace, Error Reporting. · Delivery: Cloud Build (cloudbuild.yaml), Artifact Registry, Cloud Deploy, Secret Manager. · AI and pipelines: Vertex AI, Gemini API, Pub/Sub, Dataflow, Cloud Composer, Cloud Scheduler, Eventarc. · Tooling: gcloud, gcloud storage and gsutil, bq, Cloud Shell, Terraform google provider. · Gotchas: API not enabled on a new project, service account key files in repos, default VPC firewall rules, SELECT * on large BigQuery tables, Cloud Run cold starts, cross-region egress charges. · Which project and region, and is it new or already has resources?

78 lines · .txt · instant download

// what's inside

What's inside this skill

Exact gcloud, bq and gcloud storage command sequences with a verification step
Terraform blocks for VPC, GKE, Cloud SQL and IAM with replacement warnings
IAM review with minimal predefined role IDs instead of Editor or Owner
cloudbuild.yaml pipelines: build, push to Artifact Registry, deploy to Cloud Run

Developers, DevOps and data engineers who deploy, secure and pay for workloads on Google Cloud every day.

// two ways to get it

Use it inside your AI, or download it once.

Library plan

This skill and 2,500+ others, inside your chat

$9/mo cancel anytime, or $59 a year

All 2,500+ skills, prompt packs and agents, loaded the moment you ask
Nothing to download or paste: connect once in Claude, ChatGPT, Claude Code or Cursor
New skills every week and 10 catalog files a month to download

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Just this skill, as a file

$19 one payment

Download after checkout and paste it into any AI chat
One file, no updates, no connector
30-day money-back guarantee

Already on Library or Both? This one is included, no need to buy the file.

Works with

Trademarks of their respective owners. KissMySkills is not affiliated with or endorsed by them.

// ask your assistant

Or let your AI set up this skill for you.

Go to kissmyskills.com/pages/connector and set up the "AI Skill for Google Cloud" skill (handle: ai-skill-for-google-cloud) for me

Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →

What you're actually buying

This Claude/ChatGPT skill works as a Google Cloud AI assistant inside your daily GCP work: it writes the gcloud and bq commands, Terraform resource blocks, cloudbuild.yaml pipelines, BigQuery SQL and IAM bindings you need, and explains which service fits (Cloud Run, GKE, Compute Engine, Cloud SQL, Firestore) before you commit to one.

It knows the resource hierarchy, IAM roles and service accounts, VPC and load balancing, Logs Explorer queries and the cost traps like unpartitioned BigQuery scans and idle disks. It does not operate Google Cloud directly; it prepares the exact commands, configs and Console click paths so you execute them yourself in under a minute.

Works the same way in Claude, ChatGPT and Gemini. One purchase, download the file, install in under 2 minutes, then ask questions the way you would ask a senior cloud engineer sitting next to you. Pairs with Rami, DevOps Engineer, the persona skill; this one is the helper inside Google Cloud.

// how to install Under 2 minutes

Four steps. Any AI chat.

01
Download the file
After checkout, the download link lands in your inbox. Save the .txt file anywhere on your device.
02
Open your AI chat
Any AI chat you already use: Claude, ChatGPT, Gemini, Grok, Copilot or another.
03
Paste the prompt
Open the .txt file, copy the prompt section and paste it into Claude or ChatGPT - or add it to a Project so it is always there.
04
Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.

No technical knowledge required.

With Library there is nothing to download. Connect your AI once, then ask for any skill by name.

Setup guide → Library · $9/mo →

// faq

Questions about this product

What does the AI Skill for Google Cloud do?+

It turns Claude, ChatGPT or Gemini into a Google Cloud AI assistant that writes gcloud and bq commands, Terraform for the google provider, BigQuery SQL, cloudbuild.yaml pipelines and IAM bindings, compares services like Cloud Run vs GKE, and helps you debug from Logs Explorer entries.

Does it operate Google Cloud for me?+

No. It never runs commands or clicks in the Google Cloud Console. It prepares the exact commands, config files and Console click paths, warns you before anything destructive or costly, and you execute them in Cloud Shell, your terminal or Terraform.

Can it help me lower my Google Cloud bill?+

Yes. Ask why the bill jumped and it gives a checklist: Billing report grouped by SKU, idle Compute Engine VMs and disks, unattached static IPs, Cloud NAT egress, BigQuery on-demand scans and log ingestion volume, plus the Google Cloud Console path to each and the partitioning or lifecycle rules that fix them.

Does it cover BigQuery and Vertex AI as well as compute?+

Yes. The skill covers Google Cloud broadly: BigQuery queries, partitioning and scheduled queries, Pub/Sub and Dataflow pipelines, Cloud SQL, Firestore, VPC networking, Cloud Monitoring alerts, Secret Manager and Vertex AI endpoints. It only names services and flags it is confident exist and tells you to verify anything version-specific.