genkit
Build production-ready AI workflows using Firebase Genkit. Use when creating flows, tool-calling agents, RAG pipelines, multi-agent systems, or deploying AI to Firebase/Cloud Run. Supports TypeScript, Go, and Python with Gemini, OpenAI, Anthropic, Ollama, and Vertex AI plugins.
npx skills add majiayu000/claude-skill-registry --skill genkit --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Firebase Genkit ## When to use this skill - **AI workflow orchestration**: Building multi-step AI pipelines with type-safe inputs/outputs - **Flow-based APIs**: Wrapping LLM calls into deployable HTTP endpoints - **Tool calling / agents**: Equipping models with custom tools and implementing agentic loops - **RAG pipelines**: Retrieval-augmented generation with vector databases (Pinecone, pgvector, Firestore, Chroma, etc.) - **Multi-agent systems**: Coordinating multiple specialized AI agents - **Streaming responses**: Real-time token-by-token output for chat or long-form content - **Firebase/Cloud Run deployment**: Deploying AI functions to Google Cloud - **Prompt management**: Managing prompts as versioned `.prompt` files with Dotprompt --- ## Installation & Setup ### Step 1: Install the Genkit CLI ```bash # npm (recommended for JavaScript/TypeScript) npm install -g genkit-cli # macOS/Linux binary curl -sL cli.genkit.dev | bash ``` ### Step 2: Create a TypeScript project ```bash mkdir my-genkit-app && cd my-genkit-app npm init -y npm pkg set type=module npm install -D typescript tsx npx tsc --init mkdir src && touch src/index.ts ``` ### Step 3: Install Genkit core and a model pl
- When to use this skill
- Installation & Setup
- Step 1: Install the Genkit CLI
- Step 2: Create a TypeScript project
- Step 3: Install Genkit core and a model plugin
- Step 4: Configure API Key
- Core Concepts
- Initializing Genkit
- Defining Flows
- Generating Content
- Streaming Flows
- Tool Calling (Agents)
- Prompts with Dotprompt
- RAG — Retrieval-Augmented Generation
npm (recommended for JavaScript/TypeScript) npm install -g genkit-cli macOS/Linux binary curl -sL cli.genkit.dev | bash mkdir my-genkit-app && cd my-genkit-app npm init -y npm pkg set type=module npm install -D typescript tsx npx tsc --init mkdir src && touch src/index.ts
What does the genkit skill do?
Build production-ready AI workflows using Firebase Genkit. Use when creating flows, tool-calling agents, RAG pipelines, multi-agent systems, or deploying AI to Firebase/Cloud Run. Supports TypeScript, Go, and Python with Gemini, OpenAI, Anthropic, Ollama, and Vertex AI plugins.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill genkit --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.