Individual skill

genkit-production-expert

Build production Firebase Genkit applications including RAG systems, multi-step flows, and tool calling for Node.js/Python/Go. Deploy to Firebase Functions or Cloud Run with AI monitoring. Use when asked to "create genkit flow" or "implement RAG". Trigger with relevant phrases based on skill purpose.

skills/.curated/genkit-production-expert/SKILL.md

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Last checked: Nov 12, 2026

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Repository stars (not skill ratings): 2,917
Repository last updated: Nov 12, 2026
License: MIT

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ai Repository topic
automation Repository topic
claude-code Repository topic
devops Repository topic
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ai-agents Repository topic
anthropic Repository topic
claude-code-plugins Repository topic
developer-tools Repository topic
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ai Declared skill tag
deployment Declared skill tag
monitoring Declared skill tag
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SKILL.mdcore · 6,083 bytes
SKILL.mdcore · 6,083 bytes
SKILL.mdcore · 6,083 bytes
SKILL.mdcore · 6,083 bytes
references/ARD.mddoc · 5,036 bytes
references/PRD.mddoc · 4,529 bytes
references/errors.mddoc · 5,187 bytes
references/examples.mddoc · 13,215 bytes
references/how-it-works.mddoc · 1,249 bytes
references/production-best-practices-applied.mddoc · 913 bytes
references/workflow-examples.mddoc · 2,753 bytes
scripts/init-genkit.shruns · 1,607 bytes

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# Genkit Production Expert

## Overview

Build production-grade Firebase Genkit applications including RAG systems, multi-step flows, and tool-calling agents for Node.js, Python, and Go. This skill covers the full lifecycle from project scaffolding and schema validation through flow implementation, local testing with the Genkit Developer UI, and deployment to Firebase Functions or Cloud Run with AI monitoring and OpenTelemetry tracing.

## Prerequisites

- Node.js 18+ (TypeScript), Python 3.10+ (Python), or Go 1.21+ (Go) runtime
- Genkit CLI and core packages (`npm install genkit @genkit-ai/googleai` for TypeScript)
- Google Cloud project with Vertex AI API enabled for Gemini model access
- Firebase CLI for Firebase Functions deployments (`npm install -g firebase-tools`)
- Zod (TypeScript), Pydantic (Python), or Go structs for input/output schema validation
- Environment variables configured for API keys (never hardcoded; use Secret Manager)