Why Use This This skill provides specialized capabilities for jeremylongshore's codebase.
Use Cases Developing new features in the jeremylongshore repository Refactoring existing code to follow jeremylongshore standards Understanding and working with jeremylongshore's codebase structure
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Updated At Jan 9, 2026, 12:57 AM
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License MIT
---
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 <[email protected] >
---
# 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
| Error | Cause | Solution |
|-------|-------|----------|
| Invalid API Key | Incorrect or expired key | Verify key in Lindy dashboard |
| Rate Limited | Exceeded quota | Check quota at https://app.lindy.ai |
| Network Error | Firewall blocking | Ensure outbound HTTPS allowed |
| Module Not Found | Installation failed | Run `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
- [Lindy Documentation](https://docs.lindy.ai)
- [Lindy Dashboard](https://app.lindy.ai)
- [Lindy API Reference](https://docs.lindy.ai/api)
## Next Steps
After successful auth, proceed to `lindy-hello-world` for your first AI agent.