awenCreate and bootstrap Google Cloud projects for new workloads. Use when the user wants to create a new Google Cloud project, choose a project ID and naming co...
Install via ClawdBot CLI:
clawdbot install xswazx/awenGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
A startup wants to deploy a containerized web app to Google Cloud Run. This scenario involves creating a project, enabling APIs like Cloud Run Admin and Artifact Registry, setting up a runtime service account, and selecting a region close to their user base for low latency.
A data science team needs to build and deploy ML models using Vertex AI. This includes enabling the Vertex AI API, ensuring billing is active, creating storage buckets for datasets, and configuring separate service accounts for notebooks and training jobs to manage access securely.
A retail company aims to analyze sales data using BigQuery. This scenario requires setting up a project with the BigQuery API, planning dataset regions for compliance, confirming billing, and implementing least-privilege IAM roles for analysts and data pipelines to control data access.
A mobile app development team is building an app with Firebase for authentication and Firestore. This involves creating a GCP project underlying Firebase, enabling necessary APIs, and guiding console setup for Firebase-specific features like hosting and real-time databases.
An educational institution or enterprise wants a sandbox GCP project for tutorials or experiments. This scenario focuses on basic project creation, enabling core APIs like Cloud Storage, and setting up service accounts with minimal permissions for safe learning and testing.
Companies offering software as a service can use this skill to bootstrap GCP projects for hosting their applications on Cloud Run, ensuring scalable infrastructure with proper billing and API setup. This supports recurring revenue through monthly or annual subscriptions.
Consulting firms leverage this skill to set up GCP projects for clients using BigQuery and Vertex AI, providing data insights and ML solutions. Revenue is generated through project-based fees or ongoing support contracts for managed analytics services.
Development agencies use this skill to create GCP projects for client apps, particularly with Firebase and Cloud Run, enabling rapid deployment and maintenance. Revenue comes from development fees, hosting charges, and potential revenue-sharing models with app monetization.
💬 Integration Tip
Integrate this skill with CI/CD pipelines by automating service account setup and API enablement, and use it alongside monitoring tools to audit project configurations for compliance and security.
Scored Apr 19, 2026
Control remote Windows machines via SSH. Use when executing commands on Windows, checking GPU status (nvidia-smi), running scripts, or managing remote Windows systems. Triggers on "run on Windows", "execute on remote", "check GPU", "nvidia-smi", "远程执行", "Windows 命令".
Perform reverse lookup of gTLD domains hosted on a specified nameserver with optional filters by TLD and domain prefix length.
Configure OpenClaw installations with optimized settings, channel setup, security hardening, and production recommendations.
Connect to remote desktops via RDP, VNC, and SSH X11 with secure tunneling and troubleshooting.
Essential curl commands for HTTP requests, API testing, and file transfers.
Deploy and manage Vercel projects. Use when deploying applications to Vercel, managing environment variables, checking deployment status, viewing logs, or performing Vercel operations. Supports production and preview deployments. Practical infrastructure operations - no "AI will build your app" magic.