From lindy-pack
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".
How this skill is triggered — by the user, by Claude, or both
Slash command
/lindy-pack:lindy-hello-worldThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Minimal working example demonstrating core Lindy AI agent functionality.
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.
npx claudepluginhub jamon8888/claude-code-plugins-plus --plugin lindy-pack9plugins reuse this skill
First indexed Jul 10, 2026
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Creates structured, bite-sized implementation plans from specs or requirements before writing code. Useful for breaking down multi-step tasks into testable steps with file structure and task boundaries.