genkit-infra-expert
Automates the infrastructure setup and deployment workflow for Genkit applications.
Install
mkdir -p .claude/skills/genkit-infra-expert && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/5447" && unzip -o skill.zip -d .claude/skills/genkit-infra-expert && rm skill.zipInstalls to .claude/skills/genkit-infra-expert
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Execute use when deploying Genkit applications to production with Terraform.Key capabilities
- →Choose a deployment target for Genkit applications (Firebase Functions, Cloud Run, GKE)
- →Configure a Terraform backend for remote state management
- →Define variables for project ID, region, and Genkit app configuration
- →Provision compute resources for functions or containers
- →Configure secrets handling using Secret Manager
- →Set up monitoring dashboards for token usage and latency
How it works
This skill guides the user through deploying Genkit applications to production using Terraform. It covers selecting a deployment target, configuring infrastructure, managing secrets, and setting up observability.
Inputs & outputs
When to use genkit-infra-expert
- →Deploying Genkit to Firebase Functions
- →Provisioning Cloud Run services for AI
- →Configuring Secret Manager for API keys
- →Setting up observability dashboards
About this skill
Genkit Infra Expert
Overview
Deploy Genkit applications to production with Terraform (Firebase Functions, Cloud Run, or GKE) with secure secrets handling and observability. Use this skill to choose a target, generate the Terraform baseline, wire up Secret Manager, and provide a validation checklist for your Genkit flows.
Prerequisites
Before using this skill, ensure:
- Google Cloud project with Firebase enabled
- Terraform 1.0+ installed
- gcloud and firebase CLI authenticated
- Genkit application built and containerized
- API keys for Gemini or other AI models
- Understanding of Genkit flows and deployment options
Instructions
- Choose Deployment Target: Firebase Functions, Cloud Run, or GKE
- Configure Terraform Backend: Set up remote state in GCS
- Define Variables: Project ID, region, Genkit app configuration
- Provision Compute: Deploy functions or containers
- Configure Secrets: Store API keys in Secret Manager
- Set Up Monitoring: Create dashboards for token usage and latency
- Enable Auto-scaling: Configure min/max instances
- Validate Deployment: Test Genkit flows via HTTP endpoints
Output
- Configuration files or code changes applied to the project
- Validation report confirming correct implementation
- Summary of changes made and their rationale
See Terraform implementation details for output format specifications.
Error Handling
See ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error handling.
Examples
See ${CLAUDE_SKILL_DIR}/references/examples.md for detailed examples.
Resources
- Genkit Deployment:
- Firebase Terraform: https://registry.terraform.io/providers/hashicorp/google/latest
- Genkit examples in ${CLAUDE_SKILL_DIR}/genkit-examples/
When not to use it
- →When a Google Cloud project with Firebase is not enabled
- →When Terraform 1.0+ is not installed
- →When gcloud and firebase CLI are not authenticated
Prerequisites
Limitations
- →Requires API keys for Gemini or other AI models
- →Requires an understanding of Genkit flows and deployment options
- →The output format specifications are detailed in Terraform implementation details
How it compares
This skill automates the provisioning of Genkit production infrastructure using Terraform, which is more structured and repeatable than manual cloud resource setup.
Compared to similar skills
genkit-infra-expert side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| genkit-infra-expert (this skill) | 1 | 27d | Review | Advanced |
| terraform-module-library | 7 | 5mo | No flags | Advanced |
| devops-iac-engineer | 2 | 7mo | Review | Advanced |
| evernote-deploy-integration | 0 | 27d | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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