Gcp Compute
- 54 installs
- 6 repo stars
- Updated March 13, 2026
- alphaonedev/openclaw-graph
gcp-compute is a skill that provides architecture guidance and cost modeling for Google Compute Engine virtual machines while delegating provisioning to the Google Cloud Python client.
About
This skill provides architecture guidance, cost modeling, and pre-flight IAM requirements for Google Compute Engine, which manages virtual machines and compute resources on GCP. A developer uses it to plan VM provisioning and cost optimization while the official Google Cloud Python client handles execution. It also covers Vertex AI integration patterns for AI workloads.
- Architecture guidance for Compute Engine VMs
- Delegates execution to Google Cloud Python client
- Cost modeling with committed and sustained use discounts
Gcp Compute by the numbers
- 54 all-time installs (skills.sh)
- Ranked #705 of 1,039 Cloud & Infrastructure skills by installs in the Skillselion catalog
- Data as of Jul 28, 2026 (Skillselion catalog sync)
gcp-compute capabilities & compatibility
Free guidance; GCP billing applies to Compute Engine usage via the SDK
- Capabilities
- architecture guidance · cost modeling · iam preflight · vm provisioning
- Works with
- gcp · terraform
- Use cases
- devops
- Runs
- Hosted SaaS
- Pricing
- Bring your own API key
What gcp-compute says it does
This skill delegates all GCP provisioning and operations to the official Google Cloud Python client libraries.
Cost estimation and optimization (committed use discounts, sustained use)
Pre-flight IAM / Workload Identity Federation requirements
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| Installs | 54 |
|---|---|
| repo stars | ★ 6 |
| Last updated | March 13, 2026 |
| Repository | alphaonedev/openclaw-graph ↗ |
What it does
Plan Compute Engine VM provisioning and cost optimization with IAM guidance while the SDK handles execution.
Who is it for?
Planning Compute Engine VM sizing, cost, and IAM before executing with the SDK.
Skip if: Serverless-only workloads or non-GCP compute platforms.
When should I use this skill?
You need to provision VMs on GCP and want architecture and cost guidance first.
What you get
A Compute Engine provisioning plan with cost model and IAM pre-flight, executed via the Python SDK.
- VM architecture guidance
- Cost estimates with discount options
- IAM pre-flight requirements
Files
gcp-compute
Google Cloud Integration
This skill delegates all GCP provisioning and operations to the official Google Cloud Python client libraries.
# Core GCP client library
pip install google-cloud-python
# Vertex AI + Agent Engine (AI/ML workloads)
pip install google-cloud-aiplatform
# Specific service clients (install only what you need)
pip install google-cloud-bigquery # BigQuery
pip install google-cloud-storage # Cloud Storage
pip install google-cloud-pubsub # Pub/Sub
pip install google-cloud-run # Cloud RunSDK Docs: https://github.com/googleapis/google-cloud-python Vertex AI SDK: https://cloud.google.com/vertex-ai/docs/python-sdk/use-vertex-ai-python-sdk
Use the Google Cloud Python SDK for all GCP provisioning and operational actions. This skill provides architecture guidance, cost modeling, and pre-flight requirements — the SDK handles execution.
Architecture Guidance
Consult this skill for:
- GCP service selection and trade-off analysis
- Cost estimation and optimization (committed use discounts, sustained use)
- Pre-flight IAM / Workload Identity Federation requirements
- IaC approach (Terraform AzureRM vs Deployment Manager vs Config Connector)
- Integration patterns with Google Workspace and other GCP services
- Vertex AI Agent Engine for multi-agent workflow design
Agent & AI Capabilities
| Capability | Tool |
|---|---|
| LLM agents | Vertex AI Agent Engine |
| Model serving | Vertex AI Model Garden |
| RAG | Vertex AI Search + Embeddings API |
| Multi-agent | Agent Development Kit (google/adk-python) |
| MCP | Vertex AI Extensions (MCP-compatible) |
Reference
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Does this skill create VMs directly?
No, it delegates provisioning to the official Google Cloud Python client and provides architecture and cost guidance.
What is Compute Engine?
It manages virtual machines and compute resources on Google Cloud Platform.