google-cloud-recipe-auth — Claude Code skill: IAM and install
This skill explains Google Cloud authentication and permissions. Use it when setting up IAM, ADC, or service accounts for local code and production workloads.
/plugin marketplace add google/skills
/plugin install google-cloud-developer@google-pluginsWhat google-cloud-recipe-auth does
google-cloud-recipe-auth gives an agent a working guide to identity and access in Google Cloud. It covers IAM, human users, service accounts, service agents, and Application Default Credentials (ADC). It also separates gcloud auth login for the CLI from local credentials consumed by client libraries.
The guidance maps access choices to local development, production workloads, and web applications. It includes workforce federation, Service Account Impersonation, Identity-Aware Proxy, and Identity Platform. Before suggesting a setup, the skill asks who is authenticating, where the code runs, which API is targeted, and whether a high-level client library is in use.
Install it when an agent needs to configure Google Cloud access or diagnose authentication decisions. Skip it for projects that do not use Google Cloud IAM.
What it helps with
- configure IAM for a user or service
- separate
gcloud auth loginfrom ADC - choose access for production code
- set up service account impersonation
- protect a web app with IAP or Identity Platform
Example prompts for the agent
- Set up ADC for this local Python app to access BigQuery.
- Explain when to use `gcloud auth login` versus Service Account Impersonation.
- Choose an authentication model for an app running on Cloud Run.
How to install google-cloud-recipe-auth
1Plugin marketplace
/plugin marketplace add google/skills/plugin install google-cloud-developer@google-pluginsThis installs the whole google-cloud-developer plugin with all its skills
2Skills CLI (Vercel)
npx skills add google/skills --skill google-cloud-recipe-auth -a claude-code3Manually: put the files in place
~/.claude/skills/google-cloud-recipe-auth/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/google-cloud-recipe-auth/
1Skills CLI (Vercel)
npx skills add google/skills --skill google-cloud-recipe-auth -a codex2Manually: put the files in place
.agents/skills/google-cloud-recipe-auth/SKILL.mdFor all projects use ~/.agents/skills/
Manually: put the files in place
.cursor/skills/google-cloud-recipe-auth/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install google/skills google-cloud-recipe-auth2Manually: put the files in place
.github/skills/google-cloud-recipe-auth/SKILL.md1Skills CLI (Vercel)
npx skills add google/skills --skill google-cloud-recipe-auth -a gemini-cli2Platform CLI
gemini skills install https://github.com/google/skills --path plugins/cloud/google-cloud-developer/skills/google-cloud-recipe-authManually: put the files in place
.devin/skills/google-cloud-recipe-auth/SKILL.mdThe legacy .windsurf/skills/ path still works
Claude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set172
The whole set →Similar
Questions about google-cloud-recipe-auth
How do I install google-cloud-recipe-auth in Claude Code?
Run npx skills add google/skills --skill google-cloud-recipe-auth -a claude-code. You can also use /plugin marketplace add google/skills followed by /plugin install google-cloud-developer@google-plugins.
What does google-cloud-recipe-auth do?
It guides the agent through Google Cloud IAM and authentication for people, services, and applications. It helps select ADC, impersonation, or another access method based on the deployment context.
What is the difference between `gcloud auth login` and ADC?
gcloud auth login authenticates the CLI for management commands. ADC creates local credentials used by Google Cloud client libraries.
Source text
SKILL.md · Apache-2.0
---
name: google-cloud-recipe-auth
metadata:
version: "1.0.2"
category: GettingStarted
description: Provides expert guidance on Identity and Access Management (IAM) and authenticating and authorizing to Google Cloud services and APIs, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.
---
# Authenticating and Authorizing to Google Cloud (IAM)
[Authentication](https://docs.cloud.google.com/docs/authentication.md.txt) is the
process of proving **who you are**. In Google Cloud, you represent a
**Principal** (an identity like a user or a service). This is the first step
before [Authorization](https://docs.cloud.google.com/iam/docs/overview.md.txt)
(determining **what you can do**).
## Attribution
**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read [Usage Attribution](references/attribution.md). For commands executed
directly in the terminal (never in generated scripts, Terraform, or user code),
prefix `gcloud` with
`CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:google-cloud-recipe-auth)"`
and append `agent-skills/1.0 (skill:google-cloud-recipe-auth)` to `User-Agent` headers.
## Authentication
### Clarifying Questions for the Agent
Before providing a specific solution, clarify the following with the user:
1. **Who or what is authenticating?** (A human developer, a local script, or an
application running in production?)
2. **Where is the code running?** (Local laptop, [Compute
Engine](https://docs.cloud.google.com/compute/docs.md.txt),
[GKE](https://docs.cloud.google.com/kubernetes-engine/docs.md.txt), [Cloud
Run](https://docs.cloud.google.com/run/docs.md.txt), or another cloud like
AWS/Azure?)
3. **What is the target?** (A Google Cloud API like Storage/BigQuery, or a
custom application you built?)
4. **Are you using a high-level client library?** (e.g., Python, Go, Node.js
libraries usually handle ADC automatically.)
---
## Human Authentication
For users to access Google Cloud, they need an identity that Google Cloud can
recognize.
### Types of User Identities
Google Cloud supports several ways to configure identities for your internal
workforce (developers, administrators, employees):
* **[Google-Managed
Accounts](https://docs.cloud.google.com/iam/docs/user-identities.md.txt)**:
You can use Cloud Identity or Google Workspace to create managed user
accounts. These are called managed accounts because your organization
controls their lifecycle and configuration.
* **[Federation using Cloud Identity or Google
Workspace](https://docs.cloud.google.com/iam/docs/user-identities.md.txt)**:
You can federate identities to allow users to use their existing identity
and credentials to sign in to Google services. Users authenticate against an
external identity provider (IdP), but you must keep accounts synchronized
into Google Cloud using tools like Google Cloud Directory Sync (GCDS) or an
external authoritative source like Active Directory or Microsoft Entra ID.
* **[Workforce Identity
Federation](https://docs.cloud.google.com/iam/docs/user-identities.md.txt)**:
This lets you use an external IdP to authenticate and authorize a workforce
using IAM directly. Unlike standard federation, you do not need to
synchronize user identities from your existing IdP to Google Cloud
identities. It supports syncless, attribute-based single sign-on.
### Methods of Access for Developers and Administrators
Used for interacting with Google Cloud resources and APIs during development and
management.
* **[Google Cloud Console](https://console.cloud.google.com/)**: The primary
web interface. You authenticate using your Google Account (Gmail or [Google
Workspace](https://workspace.google.com/)).
* **[gcloud CLI](https://docs.cloud.google.com/sdk/docs/install-sdk.md.txt) (`gcloud
auth login`)**: Used to authenticate the CLI itself so you can run
management commands (e.g., `gcloud compute instances list`). It uses a
**Credential** (like an OAuth 2.0 refresh token) stored locally.
* **Local Development with [App Default Credentials
(ADC)](https://docs.cloud.google.com/docs/authentication/application-default-credentials.md.txt)
(`gcloud auth application-default login`)**: This is different from CLI
auth. It creates a local JSON file that Google Cloud **Client Libraries**
(Python, Java, etc.) use to act as "you" when you run code on your laptop.
* **[Service Account
Impersonation](https://docs.cloud.google.com/docs/authentication/use-service-account-impersonation.md.txt)**:
For security reasons, developers should avoid downloading Service Account
keys entirely. Instead, they should authenticate as humans (`gcloud auth
login`) and use Service Account Impersonation to run CLI commands or
generate short-lived credentials. This is a critical best practice for local
development and troubleshooting.
### For End-Users and Customers
Used when a human (who is not a developer) needs to access a web application
you've deployed on Google Cloud. Note: These are distinct from workforce
identities.
* **[Identity-Aware Proxy (IAP)](https://docs.cloud.google.com/iap/docs.md.txt)**:
Acts as a central authorization layer for web applications. It intercepts
web requests and verifies the user's identity (via Google Workspace, Cloud
Identity, or external providers) before letting them reach the application.
It's often used to protect internal apps without a VPN, or secure customer
portals.
* **[Identity
Platform](https://docs.cloud.google.com/identity-platform/docs.md.txt)**: A
Customer Identity and Access Management (CIAM) solution for adding consumer
sign-in (email/password, phone, social) directly into the code of your
custom-built applications.
---
## Service-to-Service Authentication
When code runs in production, it should use a **Service Account** rather than a
human user account.
### Service Accounts and Service Agents
* **[Service
Account](https://docs.cloud.google.com/iam/docs/service-account-overview.md.txt)**:
A special identity intended for non-human users. It's like a "robot
identity" with its own email address.
* **[Service Agent](https://docs.cloud.google.com/iam/docs/service-agents.md.txt)**:
A service account managed by Google that allows a service (like Pub/Sub) to
access your resources on your behalf.
### Best Practice: Attaching Service Accounts
Instead of using **Service Account Keys** (dangerous JSON files), you should
**attach** a custom service account to the Google Cloud resource. The resource's
environment then provides a **Token** (a short-lived digital object) via a local
metadata server.
* **[Compute
Engine](https://docs.cloud.google.com/compute/docs/access/create-enable-service-accounts-for-instances.md.txt)**:
Assign a service account during VM creation.
* **[Cloud
Run](https://docs.cloud.google.com/run/docs/securing/service-identity.md.txt)**:
Assign a service account in the service configuration.
### Special Cases & Advanced Topics
#### Kubernetes Engine (GKE)
Use **[Workload Identity Federation for
GKE](https://docs.cloud.google.com/kubernetes-engine/docs/how-to/workload-identity.md.txt)**
to map Kubernetes identities to IAM principal identifiers. This grants specific
Kubernetes workloads access to specific Google Cloud APIs. [Learn more
here.](https://docs.cloud.google.com/kubernetes-engine/docs/how-to/workload-identity.md.txt)
#### External Workloads ([Workload Identity Federation](https://docs.cloud.google.com/iam/docs/workload-identity-federation.md.txt))
For code running **outside** Google Cloud (e.g., AWS, Azure, or on-prem), do not
use keys. Instead, use Workload Identity Federation to exchange an external
token (like an AWS IAM role) for a short-lived Google Cloud access token.
#### [API Keys](https://docs.cloud.google.com/docs/authentication/api-keys.md.txt)
API keys are encrypted strings used for public data (e.g., Google Maps) or
simplified access like **[Vertex AI Express
Mode](https://docs.cloud.google.com/vertex-ai/generative-ai/docs/start/express-mode/overview.md.txt)**,
which allows fast testing of Gemini models without complex setup. Both humans
and services (e.g., Cloud Run-based AI agent) can use API keys, for the services
that support it.
Note: API keys should be
[restricted](https://docs.cloud.google.com/api-keys/docs/add-restrictions-api-keys.md.txt)
to specific APIs and projects to minimize security risks. Store API keys in a
secrets manager like [Secret
Manager](https://docs.cloud.google.com/secret-manager/docs.md.txt) to prevent
accidental exposure.
#### OAuth 2.0 Access Scopes
While IAM is the modern way to handle authorization, legacy Compute Engine VMs
and GKE node pools still rely on **Access Scopes** alongside IAM. If a VM's
scope is restricted, the attached service account will fail to make API calls
even if it has the correct IAM permissions. Check this first if attached service
accounts are failing unexpectedly.
#### Short-Lived Credentials
The underlying mechanism for impersonation and secure service-to-service
communication is the **IAM Service Account Credentials API**. This API generates
short-lived access tokens, OpenID Connect (OIDC) ID tokens, or self-signed JSON
Web Tokens (JWTs) dynamically, removing the need for static credentials.
---
## Authorization
After Authentication, Google Cloud uses **[Identity and Access Management
(IAM)](https://docs.cloud.google.com/iam/docs/overview.md.txt)** to determine what the
authenticated principal can do.
* **Allow Policy**: A record that binds a **Principal** to a **Role** on a
**Resource**.
* **[Predefined
Roles](https://docs.cloud.google.com/iam/docs/roles-permissions)**:
Prebuilt roles like `roles/storage.objectViewer` or
`roles/bigquery.dataEditor`. **Always try to use these first.**
* **[Custom
Roles](https://docs.cloud.google.com/iam/docs/creating-custom-roles.md.txt)**:
User-defined collections of specific permissions if predefined roles are too
broad.
---
## Examples
### Human-to-Service (Local Python Development)
1. **Authn**: Run `gcloud auth application-default login` to create local
credentials (ADC).
2. **Authz**: Grant your email the `roles/storage.objectViewer` role on a
bucket.
3. **Code**: Use the Python `storage.Client()`. It automatically finds your
local credentials via ADC. *Note: ADC searches in a specific order—first
checking the `GOOGLE_APPLICATION_CREDENTIALS` environment variable, then the
local gcloud JSON file, and finally the attached service account metadata
server.*
### Service-to-Service (Cloud Run to Cloud SQL)
1. **Authn**: Attach a custom Service Account to your Cloud Run service.
2. **Authz**: Grant that Service Account the `roles/cloudsql.client` role on
the project.
3. **Code**: The Cloud Run environment provides the token automatically to the
connection driver.
### Calling a Custom Application ([OIDC](https://docs.cloud.google.com/docs/authentication/get-id-token.md.txt))
When calling a private Cloud Run service from another service, the caller
generates a Google-signed **OpenID Connect (OIDC) ID Token** and passes it in
the `Authorization: Bearer <TOKEN>` header.
---
## Validation Checklist
- [ ] Is the user running code locally? Suggest `gcloud auth
application-default login` or **Service Account Impersonation**.
- [ ] Is the user attempting to use Service Account keys locally? Strongly
discourage this and recommend impersonation.
- [ ] Is the user running in production? Recommend attaching a custom,
least-privilege service account, NOT using keys.
- [ ] Is the user relying on the Compute Engine Default Service Account?
Recommend creating a custom service account instead.
- [ ] Is the user running on another cloud? Recommend Workload Identity
Federation.
- [ ] Is the user calling a custom app? Recommend OIDC ID Tokens.
- [ ] Has the user restricted their API Keys? Check for appropriate [API Key
Restrictions](https://docs.cloud.google.com/docs/authentication/api-keys.md.txt).
## References
- [Authentication Overview](https://docs.cloud.google.com/docs/authentication.md.txt)
- [User Identities](https://docs.cloud.google.com/iam/docs/user-identities.md.txt)
- [Application Default Credentials](https://docs.cloud.google.com/docs/authentication/provide-credentials-adc.md.txt)
- [Service Account Best Practices](https://docs.cloud.google.com/iam/docs/best-practices-service-accounts.md.txt)
© Google LLC · Apache-2.0 · google/skills