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gcp-patterns

Design, deploy or troubleshoot a workload on Google Cloud with clear cost and operational constraints.

Skill by atstaeff

IndexedMIT★ 3
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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.

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About

Design, deploy or troubleshoot a workload on Google Cloud with clear cost and operational constraints.

Use cases: design, devops, cloud

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What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 1, 2026.

Tools
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/gcp-patterns

What's inside

Skill name
gcp-patterns
Description
Design, deploy or troubleshoot a workload on Google Cloud with clear cost and operational constraints.
License
MIT
Instructions
14 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • guide.md · references/

SKILL.md (first lines)

# GCP Patterns

## Workflow

1. Confirm actual projects/environments, data residency, callers, workload shape, budget and recovery targets. Inspect existing resources and ownership when access permits; label unverified assumptions.
2. Compare the current deployment with the simplest adequate service. For Cloud Run, account for ingress, authentication, concurrency, scaling limits, cold starts and downstream connection capacity. Choose Kubernetes only for a concrete requirement.
3. Separate deployer, runtime and service-agent identities. Scope IAM to the needed action/resource, use managed secret delivery and prefer short-lived workload credentials. Verify denied access as well as the allowed path.
4. For Pub/Sub or asynchronous work, define durable idempotency, acknowledgment, retry/backoff, poison-message handling and replay. Make deduplication plus the business write atomic when possible; external side effects need their own idempotency or recovery contract.
5. Match storage/query design to data access, retention and compatibility. Estimate compute, storage and egress from a representative workload; define actionable alerts, operating owner and rollout/restore checks.
6. Verify affected service/provider limits and pricing in current official documentation. Report actual plan/deployment/access/restore evidence separately; a local validation cannot establish live cloud behavior.

## Focused references

- [Workload guide](references/guide.md): read the relevant Cloud Run, Pub/Sub or data section.
- [Terraform IaC](../terraform-iac/SKILL.md): state, module, IAM ownership or plan review.

From atstaeff/ai-agents, MIT.

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Last commit (this folder)
Oct 23, 2026 (11 days ago)

From GitHub (fetched Oct 24, 2026).

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License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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gcp-patterns skill. Agent Mart. https://agentmart.dev/skills/atstaeff-gcp-patterns (last updated 2026-10-24)