A professional AI skill for creating and bootstrapping Google Cloud projects using industry-standard least-privilege principles and workload-specific configurations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install awen
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install awen using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is GCP Project Bootstrap?
GCP Project Bootstrap is a sophisticated addition to the Openclaw Skills library designed to handle the complexities of initializing Google Cloud environments. It moves beyond simple project creation by enforcing a deliberate, security-first approach to cloud architecture. Whether you are launching a Cloud Run application or setting up a Vertex AI pipeline, this skill ensures your infrastructure is compliant, organized, and ready for production.
By leveraging this tool within the Openclaw Skills ecosystem, developers can avoid common pitfalls such as misconfigured billing, over-privileged IAM roles, and inconsistent naming conventions. It acts as an expert architect that guides you through the necessary checklists for various cloud workloads, ensuring that every project follows Google Cloud best practices from day one.
GCP Project Bootstrap Use Cases
- Initializing production-grade Google Cloud projects with automated naming and organization placement.
- Setting up specialized environments for Vertex AI, BigQuery, or Cloud Run with correct API enablement.
- Auditing planned GCP project configurations to ensure compliance with least-privilege IAM standards.
- Bootstrapping Firebase projects while managing the underlying Google Cloud resource dependencies.
- Creating sandboxes for experimentation with clear region and billing boundaries.
How GCP Project Bootstrap Works
- Workload Analysis: The skill begins by clarifying the specific nature of the workload (e.g., ML, analytics, or hosting) to tailor the configuration.
- Input Collection: It gathers critical metadata including project IDs, display names, billing accounts, and data residency requirements.
- Checklist Validation: The system references internal project-creation-checklists to establish a sequential, safe deployment path.
- API and Service Mapping: It identifies and groups the exact APIs required for the specific workload to minimize the attack surface.
- Deployment Plan Generation: The skill produces a final creation sequence, including gcloud commands and notifications for manual console actions.
GCP Project Bootstrap Setup
To integrate this capability into your Openclaw Skills environment, ensure your local gcloud CLI is authenticated and that you have the necessary organizational permissions.
# Ensure gcloud is installed and updated
gcloud components update
# Authenticate with your Google account
gcloud auth login
# Set the management context for the bootstrap skill
gcloud config set project [YOUR_ADMIN_PROJECT]
Note: Some operations, such as linking billing accounts or managing organizational policies, may require elevated permissions that necessitate manual verification in the Google Cloud Console.
GCP Project Bootstrap Data Schema & Taxonomy
The skill manages project metadata and configuration states through a structured taxonomy to ensure reproducibility across Openclaw Skills deployments:
| Attribute | Description | Data Type |
|---|---|---|
project_id |
Unique global identifier for the GCP project | String |
workload_type |
Category of project (e.g., Vertex AI, Cloud Run) | Enum |
apis_enabled |
List of Google Cloud APIs activated for the project | Array |
iam_policy |
Defined service accounts and least-privilege roles | Object |
region_config |
Primary compute and storage region assignments | String |
GCP Project Bootstrap Advanced Features
- Workload-Specific Branches: Tailored initialization logic for Cloud Run, Vertex AI, BigQuery, and Firebase.
- Least-Privilege Enforcement: Automatically avoids broad roles like roles/owner, recommending workload-specific service accounts instead.
- Dependency Tracking: Maps relationships between services, such as Artifact Registry and Cloud Build for containerized apps.
- Compliance Auditing: Built-in verification steps to check if a project setup is complete before actual deployment.
- Multi-Agent Protocol Support: Designed to work alongside other Openclaw Skills to provide a seamless infrastructure-as-code experience.
SKILL.md
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