Agent skill

create-voltagent

Skill for creating AI agent projects using the VoltAgent framework. Guide for CLI setup and manual bootstrapping.

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npx add-skill https://github.com/VoltAgent/skills/tree/main/skills/create-voltagent

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Additional technical details for this skill

author
VoltAgent
version
1.0.0

SKILL.md

Create VoltAgent Skill

Complete guide for creating new VoltAgent projects. Includes the CLI flow and a full manual setup.

Official documentation: https://voltagent.dev/docs/


Start Here

When a user wants to create a VoltAgent project, ask:

"How would you like to create your VoltAgent project?"

  1. Automatic Setup - run npm create voltagent-app@latest and handle prompts
  2. Interactive Guide - walk through each step and confirm choices
  3. Manual Installation - set up dependencies and a full working example

Based on their choice:

  • Option 1: run the CLI, capture server and provider choices, and finish setup
  • Option 2: gather server, provider, and API key, then run the CLI
  • Option 3: follow the manual steps below

Before You Start

  • Node.js 20+ (>= 20.19.0 recommended)
  • Git (optional, for auto git init)
  • An API key for your model provider (not needed for Ollama)

Fast Path

Create a new VoltAgent project with one command:

bash
npm create voltagent-app@latest

Other package managers:

bash
pnpm create voltagent-app@latest
yarn create voltagent-app@latest
bun create voltagent-app@latest

CLI Flow

The create-voltagent-app command:

  1. Asks for a project name (default: my-voltagent-app)
  2. Prompts for a server framework (Hono or Elysia)
  3. Prompts for an AI provider (OpenAI, Anthropic, Google, Groq, Mistral, Ollama)
  4. Prompts for an API key when required
  5. Installs dependencies and scaffolds the project
  6. Writes .env, README.md, tsconfig.json, tsdown.config.ts, and Docker files
  7. Initializes a git repo when available

CLI Walkthrough

  1. Run:

    bash
    npm create voltagent-app@latest
    
  2. When prompted:

    • Choose a server (Hono recommended or Elysia)
    • Choose an AI provider
    • Enter your API key (skip if using Ollama)
  3. Start the dev server:

    bash
    cd <your-project-directory>
    npm run dev
    
  4. If you chose Ollama:

    bash
    ollama pull llama3.2
    

CLI Flags and Examples

Create in a specific directory:

bash
npm create voltagent-app@latest my-voltagent-app

Download an example from the VoltAgent repo:

bash
npm create voltagent-app@latest -- --example with-workflow

pnpm / yarn / bun equivalents:

bash
pnpm create voltagent-app@latest -- --example with-workflow
yarn create voltagent-app@latest -- --example with-workflow
bun create voltagent-app@latest -- --example with-workflow

Notes:


Generated Layout

my-voltagent-app/
|-- src/
|   |-- index.ts
|   |-- tools/
|   |   |-- index.ts
|   |   `-- weather.ts
|   `-- workflows/
|       `-- index.ts
|-- .env
|-- .voltagent/
|-- Dockerfile
|-- .dockerignore
|-- .gitignore
|-- README.md
|-- package.json
|-- tsconfig.json
`-- tsdown.config.ts

If you run the docs sync script in this repo, you may also see packages/core/docs generated.


Env Keys

The CLI writes .env with your provider key (or a placeholder). Common keys:

env
OPENAI_API_KEY=...
ANTHROPIC_API_KEY=...
GOOGLE_GENERATIVE_AI_API_KEY=...
GROQ_API_KEY=...
MISTRAL_API_KEY=...
OLLAMA_HOST=http://localhost:11434

VOLTAGENT_PUBLIC_KEY=...
VOLTAGENT_SECRET_KEY=...

Manual Setup (Full)

If you prefer not to use the CLI, follow these steps:

Step 1: Create the project directory

bash
mkdir my-voltagent-app && cd my-voltagent-app
npm init -y
mkdir -p src/tools src/workflows .voltagent

Step 2: Install dependencies

Choose one server package:

bash
npm install @voltagent/core @voltagent/libsql @voltagent/logger @voltagent/server-hono @voltagent/cli ai zod dotenv

or

bash
npm install @voltagent/core @voltagent/libsql @voltagent/logger @voltagent/server-elysia @voltagent/cli ai zod dotenv

Dev dependencies:

bash
npm install -D typescript tsx tsdown @types/node @biomejs/biome

Step 3: Add scripts to package.json

json
{
  "scripts": {
    "dev": "tsx watch --env-file=.env ./src",
    "build": "tsdown",
    "start": "node dist/index.js",
    "lint": "biome check ./src",
    "lint:fix": "biome check --write ./src",
    "typecheck": "tsc --noEmit",
    "volt": "volt"
  }
}

volt is the VoltAgent CLI. Use it for project utilities (for example init, deploy, eval, prompts, tunnel, update).

Step 4: Configure TypeScript

Create tsconfig.json:

json
{
  "compilerOptions": {
    "target": "ES2022",
    "module": "ES2022",
    "moduleResolution": "bundler",
    "esModuleInterop": true,
    "forceConsistentCasingInFileNames": true,
    "strict": true,
    "outDir": "dist",
    "skipLibCheck": true
  },
  "include": ["src"],
  "exclude": ["node_modules", "dist"]
}

Step 5: Add tsdown config

Create tsdown.config.ts:

typescript
import { defineConfig } from "tsdown";

export default defineConfig({
  entry: ["./src/index.ts"],
  sourcemap: true,
  outDir: "dist",
});

Step 6: Create .env

env
OPENAI_API_KEY=your-api-key-here
VOLTAGENT_PUBLIC_KEY=your-public-key
VOLTAGENT_SECRET_KEY=your-secret-key
NODE_ENV=development

For Ollama:

env
OLLAMA_HOST=http://localhost:11434

Step 7: Create a tool

Create src/tools/weather.ts:

typescript
import { createTool } from "@voltagent/core";
import { z } from "zod";

export const weatherTool = createTool({
  name: "getWeather",
  description: "Get the current weather for a specific location",
  parameters: z.object({
    location: z.string().describe("City or location to get weather for"),
  }),
  execute: async ({ location }) => {
    return {
      weather: {
        location,
        temperature: 21,
        condition: "Sunny",
        humidity: 45,
        windSpeed: 8,
      },
      message: `Current weather in ${location}: 21 C and sunny.`,
    };
  },
});

Create src/tools/index.ts:

typescript
export { weatherTool } from "./weather";

Step 8: Create a workflow

Create src/workflows/index.ts:

typescript
import { createWorkflowChain } from "@voltagent/core";
import { z } from "zod";

export const expenseApprovalWorkflow = createWorkflowChain({
  id: "expense-approval",
  name: "Expense Approval Workflow",
  purpose: "Process expense reports with manager approval for high amounts",
  input: z.object({
    employeeId: z.string(),
    amount: z.number(),
    category: z.string(),
    description: z.string(),
  }),
  result: z.object({
    status: z.enum(["approved", "rejected"]),
    approvedBy: z.string(),
    finalAmount: z.number(),
  }),
})
  .andThen({
    id: "check-approval-needed",
    resumeSchema: z.object({
      approved: z.boolean(),
      managerId: z.string(),
      comments: z.string().optional(),
      adjustedAmount: z.number().optional(),
    }),
    execute: async ({ data, suspend, resumeData }) => {
      if (resumeData) {
        return {
          ...data,
          approved: resumeData.approved,
          approvedBy: resumeData.managerId,
          finalAmount: resumeData.adjustedAmount || data.amount,
          managerComments: resumeData.comments,
        };
      }

      if (data.amount > 500) {
        await suspend("Manager approval required", {
          employeeId: data.employeeId,
          requestedAmount: data.amount,
          category: data.category,
        });
      }

      return {
        ...data,
        approved: true,
        approvedBy: "system",
        finalAmount: data.amount,
      };
    },
  })
  .andThen({
    id: "process-decision",
    execute: async ({ data }) => {
      return {
        status: data.approved ? "approved" : "rejected",
        approvedBy: data.approvedBy,
        finalAmount: data.finalAmount,
      };
    },
  });

Step 9: Create the entry point

Create src/index.ts:

typescript
import "dotenv/config";
import {
  Agent,
  Memory,
  VoltAgent,
  VoltAgentObservability,
  VoltOpsClient,
} from "@voltagent/core";
import { LibSQLMemoryAdapter, LibSQLObservabilityAdapter } from "@voltagent/libsql";
import { createPinoLogger } from "@voltagent/logger";
import { honoServer } from "@voltagent/server-hono";
import { expenseApprovalWorkflow } from "./workflows";
import { weatherTool } from "./tools";

const logger = createPinoLogger({ name: "my-voltagent-app", level: "info" });

const memory = new Memory({
  storage: new LibSQLMemoryAdapter({
    url: "file:./.voltagent/memory.db",
    logger: logger.child({ component: "libsql" }),
  }),
});

const observability = new VoltAgentObservability({
  storage: new LibSQLObservabilityAdapter({
    url: "file:./.voltagent/observability.db",
  }),
});

const agent = new Agent({
  name: "my-voltagent-app",
  instructions: "A helpful assistant that can check weather and help with various tasks",
  model: "openai/gpt-4o-mini",
  tools: [weatherTool],
  memory,
});

new VoltAgent({
  agents: { agent },
  workflows: { expenseApprovalWorkflow },
  server: honoServer(),
  logger,
  observability,
  voltOpsClient: new VoltOpsClient({
    publicKey: process.env.VOLTAGENT_PUBLIC_KEY || "",
    secretKey: process.env.VOLTAGENT_SECRET_KEY || "",
  }),
});

Model format is provider/model. Examples:

  • openai/gpt-4o-mini
  • anthropic/claude-3-5-sonnet
  • google/gemini-2.0-flash
  • groq/llama-3.3-70b-versatile
  • mistral/mistral-large-latest
  • ollama/llama3.2

If you chose Elysia, replace honoServer with elysiaServer and update the import.

Step 10: Run the dev server

bash
npm run dev

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