gcp-terraform
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Chinesegcp-terraform
gcp-terraform
Google Cloud Integration
Google Cloud集成
This skill delegates all GCP provisioning and operations to the official Google Cloud Python client libraries.
bash
undefined本技能将所有GCP资源配置与操作委托给官方Google Cloud Python客户端库。
bash
undefinedCore GCP client library
Core GCP client library
pip install google-cloud-python
pip install google-cloud-python
Vertex AI + Agent Engine (AI/ML workloads)
Vertex AI + Agent Engine (AI/ML workloads)
pip install google-cloud-aiplatform
pip install google-cloud-aiplatform
Specific service clients (install only what you need)
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 Run
**SDK 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.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 Run
**SDK文档:** https://github.com/googleapis/google-cloud-python
**Vertex AI SDK:** https://cloud.google.com/vertex-ai/docs/python-sdk/use-vertex-ai-python-sdk
所有GCP资源配置与操作均使用Google Cloud Python SDK执行。本技能提供架构指导、成本建模和预检查要求——具体执行由SDK处理。Architecture Guidance
架构指导
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
可向本技能咨询以下内容：
- GCP服务选择与权衡分析
- 成本估算与优化（承诺使用折扣、持续使用折扣）
- 预检查IAM / 工作负载身份联合要求
- 基础设施即代码方案对比（Terraform AzureRM vs Deployment Manager vs Config Connector）
- 与Google Workspace及其他GCP服务的集成模式
- 用于多Agent工作流设计的Vertex AI Agent Engine
Agent & AI Capabilities
Agent & AI能力
| 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) |
| 能力 | 工具 |
|---|---|
| LLM Agent | Vertex AI Agent Engine |
| 模型部署 | Vertex AI Model Garden |
| RAG | Vertex AI Search + Embeddings API |
| 多Agent | Agent Development Kit (google/adk-python) |
| MCP | Vertex AI Extensions (MCP-compatible) |