AgentSkillsCN

lindy-install-auth

安装和配置Lindy AI SDK/CLI认证。 在设置新的Lindy集成、配置API密钥或在项目中初始化Lindy时使用。 可通过“install lindy”、“setup lindy”、“lindy auth”、“configure lindy API key”等短语触发。

SKILL.md
--- frontmatter
name: lindy-install-auth
description: |
  Install and configure Lindy AI SDK/CLI authentication.
  Use when setting up a new Lindy integration, configuring API keys,
  or initializing Lindy in your project.
  Trigger with phrases like "install lindy", "setup lindy",
  "lindy auth", "configure lindy API key".
allowed-tools: Read, Write, Edit, Bash(npm:*), Bash(pip:*), Grep
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>

Lindy Install & Auth

Overview

Set up Lindy AI SDK and configure authentication credentials for AI agent automation.

Prerequisites

  • Node.js 18+ or Python 3.10+
  • Package manager (npm, pnpm, or pip)
  • Lindy account with API access
  • API key from Lindy dashboard (https://app.lindy.ai)

Instructions

Step 1: Install SDK

bash
# Node.js
npm install @lindy-ai/sdk

# Python
pip install lindy-sdk

Step 2: Configure Authentication

bash
# Set environment variable
export LINDY_API_KEY="your-api-key"

# Or create .env file
echo 'LINDY_API_KEY=your-api-key' >> .env

Step 3: Verify Connection

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

const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });
const agents = await lindy.agents.list();
console.log(agents.length > 0 ? 'Connected!' : 'No agents yet');

Output

  • Installed SDK package in node_modules or site-packages
  • Environment variable or .env file with API key
  • Successful connection verification output

Error Handling

ErrorCauseSolution
Invalid API KeyIncorrect or expired keyVerify key in Lindy dashboard
Rate LimitedExceeded quotaCheck quota at https://app.lindy.ai
Network ErrorFirewall blockingEnsure outbound HTTPS allowed
Module Not FoundInstallation failedRun npm install or pip install again

Examples

TypeScript Setup

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

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

// Verify connection
const me = await lindy.users.me();
console.log(`Connected as: ${me.email}`);

Python Setup

python
from lindy import Lindy

client = Lindy(api_key=os.environ.get('LINDY_API_KEY'))

# Verify connection
me = client.users.me()
print(f"Connected as: {me.email}")

Resources

Next Steps

After successful auth, proceed to lindy-hello-world for your first AI agent.