
from Vibe Ecosystem484
Practical GCP deployment and architecture patterns: Cloud Run Dockerfiles, BigQuery partitioning & clustering, Pub/Sub best practices, and IAM least-privilege g
Provides concrete, ready-to-use patterns and code snippets for deploying and operating services on Google Cloud Platform. The skill collects pragmatic examples—Dockerfiles and Cloud Run service YAML, BigQuery partitioning/clustering SQL, Pub/Sub publisher/subscriber code with idempotency and ordering, and IAM role patterns—so an agent can propose and generate deployment artifacts and operational recommendations.
Use this skill when designing or deploying microservices to Cloud Run, optimizing BigQuery schemas and queries for cost and performance, implementing reliable Pub/Sub event processing, or creating IAM policies following least-privilege principles. It's useful during architecture reviews, CI/CD pipeline generation, and developer onboarding.
Best-suited for developer-focused agents and CI automation tools that can edit files, run build commands, and interact with gcloud. Works well as part of a repository of infra patterns used by coding agents and DevOps helpers.
GCP deployment and architecture reference skill covering Cloud Run, BigQuery, Pub/Sub, and IAM best practices. No scripts to execute — purely a static reference skill. Well-organized content with practical code examples, checklists, and anti-patterns. Clean from a security perspective with no credentials or destructive commands.
Solid reference skill for GCP practitioners. No security concerns. Could improve architecture by splitting large code blocks into references/ directory. Frontmatter is minimal (name + description only).
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