lindy-hello-world

@jeremylongshore/lindy-hello-world

jeremylongshore

1,004

123 forks

Updated 1/18/2026

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Create a minimal working Lindy AI agent example. Use when starting a new Lindy integration, testing your setup, or learning basic Lindy API patterns. Trigger with phrases like "lindy hello world", "lindy example", "lindy quick start", "simple lindy agent".

Installation

$skills install @jeremylongshore/lindy-hello-world

Claude Code

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Copilot

Codex

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Details

Repositoryjeremylongshore/claude-code-plugins-plus-skills

Pathplugins/saas-packs/lindy-pack/skills/lindy-hello-world/SKILL.md

Branchmain

Scoped Name@jeremylongshore/lindy-hello-world

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

skills list

Skill Instructions

name: lindy-hello-world description: | Create a minimal working Lindy AI agent example. Use when starting a new Lindy integration, testing your setup, or learning basic Lindy API patterns. Trigger with phrases like "lindy hello world", "lindy example", "lindy quick start", "simple lindy agent". allowed-tools: Read, Write, Edit version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Lindy Hello World

Overview

Minimal working example demonstrating core Lindy AI agent functionality.

Prerequisites

Completed lindy-install-auth setup
Valid API credentials configured
Development environment ready

Instructions

Step 1: Create Entry File

Create a new file for your hello world example.

Step 2: Import and Initialize Client

import { Lindy } from '@lindy-ai/sdk';

const lindy = new Lindy({
  apiKey: process.env.LINDY_API_KEY,
});

Step 3: Create Your First Agent

async function main() {
  // Create a simple AI agent
  const agent = await lindy.agents.create({
    name: 'Hello World Agent',
    description: 'My first Lindy agent',
    instructions: 'You are a helpful assistant that greets users.',
  });

  console.log(`Created agent: ${agent.id}`);

  // Run the agent with a simple task
  const result = await lindy.agents.run(agent.id, {
    input: 'Say hello to the world!',
  });

  console.log(`Agent response: ${result.output}`);
}

main().catch(console.error);

Output

Working code file with Lindy client initialization
Created AI agent in your Lindy workspace
Console output showing:

Created agent: agt_abc123
Agent response: Hello, World! I'm your new Lindy AI assistant.

Error Handling

Error	Cause	Solution
Import Error	SDK not installed	Verify with `npm list @lindy-ai/sdk`
Auth Error	Invalid credentials	Check environment variable is set
Timeout	Network issues	Increase timeout or check connectivity
Rate Limit	Too many requests	Wait and retry with exponential backoff

Examples

TypeScript Example

import { Lindy } from '@lindy-ai/sdk';

const lindy = new Lindy({
  apiKey: process.env.LINDY_API_KEY,
});

async function main() {
  const agent = await lindy.agents.create({
    name: 'Greeting Agent',
    instructions: 'Greet users warmly and helpfully.',
  });

  const result = await lindy.agents.run(agent.id, {
    input: 'Hello!',
  });

  console.log(result.output);
}

main().catch(console.error);

Python Example

from lindy import Lindy

client = Lindy()

agent = client.agents.create(
    name="Greeting Agent",
    instructions="Greet users warmly and helpfully."
)

result = client.agents.run(agent.id, input="Hello!")
print(result.output)

Resources

Next Steps

Proceed to lindy-local-dev-loop for development workflow setup.

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