gcp-examples-expert

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Generate production-ready Google Cloud code examples from official repositories including ADK samples, Genkit templates, Vertex AI notebooks, and Gemini patterns. Use when asked to "show ADK example" or "provide GCP starter kit". Trigger with relevant phrases based on skill purpose.

AI & Automation 2,266 stars 315 forks Updated today MIT

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Skill Content

# GCP Examples Expert ## Overview Generate production-ready Google Cloud Platform code examples sourced from official repositories including ADK samples, Agent Starter Pack, Firebase Genkit, Vertex AI samples, Generative AI examples, and AgentSmithy. This skill maps user requirements to the appropriate GCP framework and delivers working code with security, monitoring, and deployment best practices baked in. ## Prerequisites - Google Cloud project with billing enabled and Vertex AI API activated - `gcloud` CLI authenticated with appropriate IAM roles (Vertex AI User, Cloud Run Developer) - Node.js 18+ for Genkit/TypeScript examples or Python 3.10+ for ADK/Vertex AI examples - Firebase CLI for Genkit deployments (`npm install -g firebase-tools`) - API keys or service account credentials configured via Secret Manager (never hardcoded) ## Instructions 1. Identify the target framework by matching the request to one of six categories: ADK agents, Agent Starter Pack, Genkit flows, Vertex AI training, Generative AI multimodal, or AgentSmithy orchestration 2. Select the appropriate source repository and code pattern from `${CLAUDE_SKILL_DIR}/references/code-example-categories.md` 3. Adapt the template to the specified programming language (TypeScript, Python, or Go) 4. Configure security settings: IAM least-privilege service accounts, VPC Service Controls, Model Armor for prompt injection protection 5. Add monitoring instrumentation: Cloud Monitoring dashboards, alerting policie...

Details

Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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