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".
/plugin marketplace add jeremylongshore/claude-code-plugins-plus-skills/plugin install lindy-pack@claude-code-plugins-plusThis skill is limited to using the following tools:
Minimal working example demonstrating core Lindy AI agent functionality.
lindy-install-auth setupCreate a new file for your hello world example.
import { Lindy } from '@lindy-ai/sdk';
const lindy = new Lindy({
apiKey: process.env.LINDY_API_KEY,
});
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);
Created agent: agt_abc123
Agent response: Hello, World! I'm your new Lindy AI assistant.
| 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 |
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);
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)
Proceed to lindy-local-dev-loop for development workflow setup.
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