@alphaonedev/gcp-iam

Manages identity and access control for Google Cloud resources using IAM policies and roles.

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SKILL.md
namegcp-iam
clustercloud-gcp
descriptionManages identity and access control for Google Cloud resources using IAM policies and roles.
tags["gcp","iam","access-control"]
dependencies[]
composes[]
similar_to[]
called_by[]
authorization_requiredfalse
scopegeneral
model_hintclaude-sonnet
embedding_hintgcp iam access management policies roles permissions google cloud security

gcp-iam

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 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.

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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