Skill for creating AI agent projects using the VoltAgent framework. Guide for CLI setup and manual bootstrapping.
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?"
Automatic Setup - run npm create voltagent-app@latest and handle prompts
Interactive Guide - walk through each step and confirm choices
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:
npm create voltagent-app@latest
Other package managers:
pnpm create voltagent-app@latest
yarn create voltagent-app@latest
bun create voltagent-app@latest
CLI Flow
The create-voltagent-app command:
Asks for a project name (default: my-voltagent-app)
Prompts for a server framework (Hono or Elysia)
Prompts for an AI provider (OpenAI, Anthropic, Google, Groq, Mistral, Ollama)
Prompts for an API key when required
Installs dependencies and scaffolds the project
Writes .env, README.md, tsconfig.json, tsdown.config.ts, and Docker files
Initializes a git repo when available
CLI Walkthrough
Run:
npm create voltagent-app@latest
When prompted:
Choose a server (Hono recommended or Elysia)
Choose an AI provider
Enter your API key (skip if using Ollama)
Start the dev server:
cd <your-project-directory>
npm run dev
If you chose Ollama:
ollama pull llama3.2
CLI Flags and Examples
Create in a specific directory:
npm create voltagent-app@latest my-voltagent-app
Download an example from the VoltAgent repo:
npm create voltagent-app@latest -- --example with-workflow
pnpm / yarn / bun equivalents:
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:
Examples are pulled from https://github.com/voltagent/voltagent/tree/main/examples
Some package managers require -- before --example.
After an example download, run npm install and npm run dev.
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:
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
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:
npm install @voltagent/core @voltagent/libsql @voltagent/logger @voltagent/server-hono @voltagent/cli ai zod dotenv
or
npm install @voltagent/core @voltagent/libsql @voltagent/logger @voltagent/server-elysia @voltagent/cli ai zod dotenv
Dev dependencies:
npm install -D typescript tsx tsdown @types/node @biomejs/biome
Step 3: Add scripts to package.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:
{
"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:
import { defineConfig } from "tsdown";
export default defineConfig({
entry: ["./src/index.ts"],
sourcemap: true,
outDir: "dist",
});
Step 6: Create .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:
OLLAMA_HOST=http://localhost:11434
Step 7: Create a tool
Create src/tools/weather.ts:
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:
export { weatherTool } from "./weather";
Step 8: Create a workflow
Create src/workflows/index.ts:
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:
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
npm run devdon't have the plugin yet? install it then click "run inline in claude" again.