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gcp-iam

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

Skill by Kilo-Org

IndexedApache-2.0★ 195
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/kilo-org-gcp-iam

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About

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

Use cases: cloud

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Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/gcp-iam

What's inside

Skill name
gcp-iam
Description
Manages identity and access control for Google Cloud resources using IAM policies and roles.
License
Apache-2.0
Metadata
category: development
Instructions
55 lines in SKILL.md · view on GitHub

Files (2)

  • LICENSE
  • SKILL.md

SKILL.md (first lines)

# gcp-iam

## Google Cloud Integration

This skill delegates all GCP provisioning and operations to the official Google Cloud Python client libraries.

```bash
# 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

- [Google Cloud Python Client](https://github.com/googleapis/google-cloud-python)
- [Vertex AI Python SDK](https://cloud.google.com/vertex-ai/docs/python-sdk/use-vertex-ai-python-sdk)
- [Google ADK](https://github.com/google/adk-python)
- [GCP Pricing Calculator](https://cloud.google.com/products/calculator)
- [IAM Best Practices](https://cloud.google.com/iam/docs/best-practices-for-using-and-securing-service-accounts)
- [Workload Identity Federation](https://cloud.google.com/iam/docs/workload-identity-federation)

From Kilo-Org/kilo-marketplace, Apache-2.0.

More from Kilo-Org/kilo-marketplace

Signals

Stars
195
Forks
328
Open issues
18
Last commit (this folder)
Jun 24, 2026 (4 months ago)
Last release
Sep 28, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from Kilo-Org

Cite this page

gcp-iam skill. Agent Mart. https://agentmart.dev/skills/kilo-org-gcp-iam (last updated 2026-10-24)