Agent skill · Backend & API

lindy-hello-world

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".

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill lindy-hello-world-vasic-digital-superagent --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 3 KB
Bundled scripts: none
Version: 1.0.0
Declared author: Jeremy Longshore <jeremy@intentsolutions.io>
Allowed tools: ReadWriteEdit
Path: skills/agent/lindy-hello-world-vasic-digital-superagent/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 ```typescript import { Lindy } from '@lindy-ai/sdk'; const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY, }); ``` ### Step 3: Create Your First Agent ```typescript 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, Wor

What's inside
Steps it walks through
  1. Overview
  2. Prerequisites
  3. Instructions
  4. Step 1: Create Entry File
  5. Step 2: Import and Initialize Client
  6. Step 3: Create Your First Agent
  7. Output
  8. Error Handling
  9. Examples
  10. TypeScript Example
  11. Python Example
  12. Resources
  13. Next Steps
Ships with 1 file
  • metadata.json
More from claude-skill-registry
All skills →
About this skill
What does the lindy-hello-world skill do?

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 do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill lindy-hello-world-vasic-digital-superagent --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going