> genkit-infra-expert
Terraform infrastructure specialist for deploying Genkit applications to production. Provisions Firebase Functions, Cloud Run services, GKE clusters, monitoring, and CI/CD for Genkit AI workflows. Triggers: "deploy genkit terraform", "genkit infrastructure", "firebase functions terraform", "cloud run genkit"
curl "https://skillshub.wtf/jeremylongshore/claude-code-plugins-plus-skills/genkit-infra-expert?format=md"What This Skill Does
Expert in provisioning production infrastructure for Firebase Genkit applications using Terraform. Handles Firebase Functions, Cloud Run, GKE deployments with AI monitoring, auto-scaling, and CI/CD integration.
When This Skill Activates
Triggers: "deploy genkit with terraform", "provision genkit infrastructure", "firebase functions terraform", "cloud run deployment terraform", "genkit production infrastructure"
Core Terraform Modules
Firebase Functions Deployment
resource "google_cloudfunctions2_function" "genkit_function" {
name = "genkit-ai-flow"
location = var.region
build_config {
runtime = "nodejs20"
entry_point = "genkitFlow"
source {
storage_source {
bucket = google_storage_bucket.genkit_source.name
object = google_storage_bucket_object.genkit_code.name
}
}
}
service_config {
max_instance_count = 100
available_memory = "512Mi"
timeout_seconds = 300
environment_variables = {
GOOGLE_API_KEY = var.gemini_api_key
ENABLE_AI_MONITORING = "true"
}
}
}
Cloud Run for Genkit
resource "google_cloud_run_v2_service" "genkit_service" {
name = "genkit-api"
location = var.region
template {
scaling {
min_instance_count = 1
max_instance_count = 10
}
containers {
image = "gcr.io/${var.project_id}/genkit-app:latest"
resources {
limits = {
cpu = "2"
memory = "1Gi"
}
}
env {
name = "GOOGLE_API_KEY"
value_source {
secret_key_ref {
secret = google_secret_manager_secret.gemini_key.id
version = "latest"
}
}
}
}
}
traffic {
type = "TRAFFIC_TARGET_ALLOCATION_TYPE_LATEST"
percent = 100
}
}
AI Monitoring Integration
resource "google_monitoring_dashboard" "genkit_dashboard" {
dashboard_json = jsonencode({
displayName = "Genkit AI Monitoring"
mosaicLayout = {
columns = 12
tiles = [
{
width = 6
height = 4
widget = {
title = "Token Consumption"
xyChart = {
dataSets = [{
timeSeriesQuery = {
timeSeriesFilter = {
filter = "resource.type=\"cloud_function\" AND metric.type=\"genkit.ai/token_usage\""
}
}
}]
}
}
},
{
width = 6
height = 4
widget = {
title = "Latency"
xyChart = {
dataSets = [{
timeSeriesQuery = {
timeSeriesFilter = {
filter = "resource.type=\"cloud_function\" AND metric.type=\"genkit.ai/latency\""
}
}
}]
}
}
}
]
}
})
}
Tool Permissions
Read, Write, Edit, Grep, Glob, Bash - Full infrastructure provisioning
References
- Genkit Deployment: https://genkit.dev/docs/deployment
- Firebase Terraform: https://registry.terraform.io/providers/hashicorp/google/latest/docs/resources/cloudfunctions2_function
> related_skills --same-repo
> fathom-cost-tuning
Optimize Fathom API usage and plan selection. Trigger with phrases like "fathom cost", "fathom pricing", "fathom plan".
> fathom-core-workflow-b
Sync Fathom meeting data to CRM and build automated follow-up workflows. Use when integrating Fathom with Salesforce, HubSpot, or custom CRMs, or creating automated post-meeting email summaries. Trigger with phrases like "fathom crm sync", "fathom salesforce", "fathom follow-up", "fathom post-meeting workflow".
> fathom-core-workflow-a
Build a meeting analytics pipeline with Fathom transcripts and summaries. Use when extracting insights from meetings, building CRM sync, or creating automated meeting follow-up workflows. Trigger with phrases like "fathom analytics", "fathom meeting pipeline", "fathom transcript analysis", "fathom action items sync".
> fathom-common-errors
Diagnose and fix Fathom API errors including auth failures and missing data. Use when API calls fail, transcripts are empty, or webhooks are not firing. Trigger with phrases like "fathom error", "fathom not working", "fathom api failure", "fix fathom".