google-cloud-recipe-onboarding
Guides a developer's first steps on Google Cloud, covering account creation, billing setup, project management, and deploying a first resource. Use when a new developer wants to initialize their first Google Cloud project, configure billing, and verify deployment. Don't use for enterprise organization setup (use Google Cloud Setup guided flow for that instead). Don't use for complex multi-project architectures.
What this skill does
# Onboarding to Google Cloud
This skill provides a streamlined, non-interactive "happy path" for a singleton developer to get started with [Google Cloud](https://cloud.google.com/). It covers everything from environment verification and authentication to project selection, billing account linkage, and downstream safety chaining.
> [!IMPORTANT]
> For autonomous agents executing this skill:
> 1. **Check-Before-Mutate Audits**: Always perform silent pre-execution state audits prior to proposing or executing any project or billing changes.
> 2. **Single-Question Policy**: Ask the user for exactly **one** operational parameter or confirmation at a time during interactive execution.
> 3. **Non-Interactive Output**: Append non-interactive overrides (`--quiet`, `--format="json"`) to all mutation commands to guarantee deterministic, machine-parseable outputs and prevent terminal hangs.
> 4. **First Turn Interaction Rules (Trigger Turn)**: When the developer first triggers this skill with a general onboarding request (e.g. says "I want to get started with Google Cloud"):
> - **Preamble Guidance**: Proactively include a short orienting preamble guiding the developer to create a Google Cloud account (pointing to the console at `https://console.cloud.google.com/`) and run `gcloud auth login` to authorize their workstation, even if they appear to be already logged in.
> - **First Turn Single-Question**: Perform pre-flight audits silently, but do not present a complete parameters summary table or ask for final consent in the first turn. Instead, ask the developer exactly **one** initial operational question (e.g., *"Would you like to reuse an existing active project, or create a brand new one?"*).
> *Note: If the developer's initial prompt explicitly states "I approve the onboarding configuration", "Let's proceed with onboarding", or requests a dry-run plan (e.g., "Show me the exact plan or dry-run commands"), bypass the general preamble and initial question, and proceed directly to the requested step.*
---
## Overview
For an individual developer, onboarding to Google Cloud involves verifying local terminal tools, establishing an authenticated session, selecting or instantiating a workspace ([Project](https://docs.cloud.google.com/resource-manager/docs/cloud-platform-resource-hierarchy#projects)), and linking it to an active billing account. Google Cloud offers a Free Tier and a Free Trial with $300 in credits for first-time users. [Learn more here](https://docs.cloud.google.com/free/docs/free-cloud-features).
---
## Prerequisites
- A personal Google Account (e.g., `@gmail.com`) or Google Workspace / Cloud Identity account.
- A valid payment method (credit card or bank account) required for identity verification and to activate the $300 Free Trial credit introduced in the Overview.
---
## Steps
### Section 1: Verify Host Tooling Setup
Before soliciting input or proposing mutations, silently audit the host system's active tooling and environment status.
1. Check if the `gcloud` CLI binary is installed and accessible:
```bash
which gcloud
```
2. Check if there is an active authenticated identity session:
```bash
gcloud auth list --format="json"
```
3. If the pre-execution audit for `which gcloud` returns a valid path, proceed directly to Section 2: Authenticate and Route Session.
4. If the binary is missing, halt execution and direct the agent/developer to the [gcloud skill](https://github.com/google/skills/tree/main/skills/cloud/gcloud) or official [Google Cloud CLI Installation Guide](https://docs.cloud.google.com/sdk/docs/install) for setup and authentication instructions before retrying.
---
### Section 2: Authenticate and Route Session
Authorize the gcloud CLI to access Google Cloud using the developer's Google Account, and verify that the account is appropriate for standalone developer onboarding.
1. **Execute Credentials Authentication:**
```bash
gcloud auth login
```
> [!IMPORTANT]
> **New User / Unauthenticated Guidance**:
> If the pre-execution state audits or command failures confirm that the developer is unauthenticated (e.g., `gcloud auth list` is empty or active credentials are missing):
> 1. Guide them to create a Google Cloud account by navigating to the [Google Cloud Console](https://console.cloud.google.com/).
> 2. Instruct them to execute the `gcloud auth login` command to authorize their local workstation terminal session.
> 3. Do not attempt project creation or resource configuration until authentication is completed successfully.
2. **Verify Active Identity:**
```bash
gcloud config get-value account --format="json"
```
3. **Programmatic Enterprise Routing Guardrail:**
Before proceeding, verify if the account is bound to a corporate organization, as enterprise setups must follow a different architecture:
```bash
gcloud organizations list --format="json"
```
- Note that new Free Trial accounts automatically receive a Self-Owned Organization (SOO). To distinguish between a personal Free Trial account and an enterprise organization, inspect the JSON output:
- **Enterprise Organization (Halt Execution)**: If the output list contains an organization node where `owner.directoryCustomerId` is present (confirming a domain-verified Google Workspace or Cloud Identity organization), or if the user's prompt explicitly mentions corporate landing zones or multi-tenant project structures:
- **Halt execution** of this skill immediately.
- Route the developer to the official [Google Cloud Setup guided flow](https://docs.cloud.google.com/docs/enterprise/cloud-setup).
- **Personal Account / Free Trial SOO (Proceed)**: If the output list is empty `[]`, or if it contains a Self-Owned Organization (where `owner.directoryCustomerId` is absent and `displayName` is not a verified domain name), proceed to Section 3: Select or Instantiate Your Google Cloud Project.
---
### Section 3: Select or Instantiate Your Google Cloud Project
Google Cloud resources are organized into **Projects**. When developers sign up for a Free Trial via the console, Google Cloud automatically creates a default project (e.g., "My First Project"). Always audit the active environment first to reuse existing projects and prevent token-burning collision errors.
1. **Silent Project Discovery:**
List active, accessible projects (limited to prevent context window overflow):
```bash
gcloud projects list --filter="lifecycleState=ACTIVE" --limit=20 --format="json"
```
2. **Reuse Existing Project (Recommended):**
If the list returns an active project, present it to the developer and propose setting it as the default working project:
```bash
gcloud config set project {PROJECT_ID} --quiet
```
3. **Create Custom Project:**
If no projects exist, or if the developer explicitly requests a brand new workspace:
- Solicit a custom `PROJECT_ID` and `PROJECT_NAME` from the developer (Single-Question Policy).
- **Structured Confirmation & Consent Gate (Mandatory)**:
Before running any project creation or billing linkage commands, the agent **must** present a structured markdown table summarizing the target parameters:
| Parameter | Value |
| :--- | :--- |
| Target Project ID | `{PROJECT_ID}` |
| Target Project Name | `{PROJECT_NAME}` |
| Active Identity Account | `{ACCOUNT}` |
| Target Billing Account ID | `{BILLING_ACCOUNT_ID}` |
Ask the user the exact consent query:
`"I am ready to initialize your Google Cloud project and link billing. Do you want me to proceed?"`
**CRITICAL**: The agent **MUST NOT** execute any `gcloud projects create` or billing link commands during this turn. You must display this table, ask the exact consent query, and **strictly stop** to wait for the user's positive affirmation.
- **Project ID Collision Suffix Recovery**: If the project creation command fails because the `PROJECT_ID`Related in Cloud & DevOps
appbuilder-action-scaffolder
IncludedCreate, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling. Use this skill whenever the user needs to add actions to an App Builder project, understand action structure (params, response format, web/raw actions), configure actions in the manifest, use App Builder SDKs (State, Files, Events, database), deploy and invoke actions via CLI, debug action issues, or implement patterns such as webhook receivers, custom event providers, journaling consumers, large payload redirects, action sequence pipelines, and Asset Compute workers. Also trigger when users mention serverless functions in Adobe context, action logging, IMS authentication for actions, or cron-style scheduled actions.
orchestrating-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. Use this skill when the user needs a multi-step Data Cloud pipeline, cross-phase troubleshooting, or data space and data kit management. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase sf data360 workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching phase-specific skill), the task is STDM/session tracing/parquet telemetry (use observing-agentforce), standard CRM SOQL (use querying-soql), or Apex implementation (use generating-apex).
github-project-automation
IncludedAutomate GitHub repository setup with CI/CD workflows, issue templates, Dependabot, and CodeQL security scanning. Includes 12 production-tested workflows and prevents 18 errors: YAML syntax, action pinning, and configuration. Use when: setting up GitHub Actions CI/CD, creating issue/PR templates, enabling Dependabot or CodeQL scanning, deploying to Cloudflare Workers, implementing matrix testing, or troubleshooting YAML indentation, action version pinning, secrets syntax, runner versions, or CodeQL configuration. Keywords: github actions, github workflow, ci/cd, issue templates, pull request templates, dependabot, codeql, security scanning, yaml syntax, github automation, repository setup, workflow templates, github actions matrix, secrets management, branch protection, codeowners, github projects, continuous integration, continuous deployment, workflow syntax error, action version pinning, runner version, github context, yaml indentation error
sf-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase `sf data360` workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching sf-datacloud-* skill), the task is STDM/session tracing/parquet telemetry (use sf-ai-agentforce-observability), standard CRM SOQL (use sf-soql), or Apex implementation (use sf-apex).
fabric-cli
IncludedUse this skill for Fabric.so CLI workflows with the `fabric` terminal command: diagnose/install/login, search or browse a Fabric library, save notes/links/files, create folders, ask the Fabric AI assistant, manage tasks/workspaces, generate shell completion, check subscription usage, produce JSON output, and use Fabric as persistent agent memory. Do not use for Microsoft Fabric/Azure/Power BI `fab`, Daniel Miessler's Fabric framework, Python Fabric SSH, Fabric.js, or textile/fashion fabric.
lark
IncludedLark/Feishu CLI skills: lark-cli operations for docs, markdown, sheets, base, calendar, im, mail, task, okr, drive, wiki, slides, whiteboard, apps, approval, attendance, contact, vc, minutes, event. Use when the user needs to operate Lark/Feishu resources via lark-cli, send messages, manage documents, spreadsheets, calendars, tasks, OKRs, deploy web pages, or any Feishu/Lark workspace operations.