An expert AI-driven guide to architecting cost-effective, interruption-resilient GCP Spot VM strategies with up to 91% savings.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install spot-vm-strategy
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 spot-vm-strategy 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 Spot VM Strategy Builder?
The GCP Spot VM Strategy Builder is a specialized skill designed to help cloud architects and DevOps engineers transition from expensive on-demand instances to highly economical Spot VMs. By analyzing your existing Compute Engine inventory and GKE configurations, this skill provides a blueprint for resilient infrastructure that handles preemptions gracefully while maintaining performance.
Leveraging the power of Openclaw Skills, this tool acts as a dedicated FinOps advisor. It evaluates workload fault tolerance and recommends specific machine types and regions with historically lower interruption rates, ensuring you capture maximum savings without compromising service availability.
GCP Spot VM Strategy Builder Use Cases
- Transitioning stateless web tiers to a cost-effective Spot/On-Demand hybrid model.
- Optimizing GKE node pools for batch processing and CI/CD workloads.
- Redesigning Dataflow and Dataproc worker configurations to utilize Spot instances.
- Generating shutdown scripts and Managed Instance Group (MIG) policies for graceful preemption handling.
How GCP Spot VM Strategy Builder Works
- The user provides exported JSON or table data from GCP using provided read-only gcloud commands.
- The skill classifies workloads into fault-tolerant or stateful categories to determine Spot eligibility.
- It analyzes region and machine type combinations to identify those with the lowest interruption frequency.
- A comprehensive migration plan is generated, including MIG autohealing policies and fallback configurations.
- The skill provides ready-to-use gcloud commands and YAML manifests for immediate implementation.
GCP Spot VM Strategy Builder Setup
To get started with this skill within the Openclaw Skills ecosystem, ensure you have the Google Cloud SDK installed. No direct credentials are required by the AI agent; you simply run these read-only commands and provide the output for analysis:
gcloud compute instances list --format="table(name,machineType.scope(machineTypes),zone,status,scheduling.preemptible)"
For GKE users, provide node pool details:
gcloud container node-pools list --cluster [CLUSTER_NAME] --zone [ZONE] --format json
GCP Spot VM Strategy Builder Data Schema & Taxonomy
The skill processes and organizes data based on standard Google Cloud resource schemas. It primarily operates on the following data structures:
| Resource Type | Data Fields Analyzed |
|---|---|
| Compute Instances | machineType, zone, scheduling.preemptible, status |
| GKE Clusters | nodePoolConfig, autoscaling policies, machine types |
| Billing Exports | SKU description, total cost, usage amounts |
| Managed Instance Groups | autohealingPolicy, updatePolicy, distributionPolicy |
All data is processed within the session context to ensure privacy and security.
GCP Spot VM Strategy Builder Advanced Features
- Automated 60/40 Spot/On-Demand split recommendations for production-grade fault tolerance.
- Detailed Dataflow and Dataproc worker type optimization for complex big data pipelines.
- Generation of custom shutdown scripts to ensure graceful draining of active connections.
- Budget guardrail configuration to prevent unexpected cost spikes during Spot unavailability.
- Strategy mapping for Cross-region deployment to increase Spot availability.
SKILL.md
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