lindy-install-auth

Set up Lindy AI account, API access, and webhook authentication. Use when onboarding to Lindy, configuring API keys for webhook triggers, or connecting Lindy agents to your application. Trigger with phrases like "install lindy", "setup lindy", "lindy auth", "configure lindy API key", "lindy webhook secret".

1,868 stars

Best use case

lindy-install-auth is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Set up Lindy AI account, API access, and webhook authentication. Use when onboarding to Lindy, configuring API keys for webhook triggers, or connecting Lindy agents to your application. Trigger with phrases like "install lindy", "setup lindy", "lindy auth", "configure lindy API key", "lindy webhook secret".

Teams using lindy-install-auth should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/lindy-install-auth/SKILL.md --create-dirs "https://raw.githubusercontent.com/jeremylongshore/claude-code-plugins-plus-skills/main/plugins/saas-packs/lindy-pack/skills/lindy-install-auth/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/lindy-install-auth/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How lindy-install-auth Compares

Feature / Agentlindy-install-authStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Set up Lindy AI account, API access, and webhook authentication. Use when onboarding to Lindy, configuring API keys for webhook triggers, or connecting Lindy agents to your application. Trigger with phrases like "install lindy", "setup lindy", "lindy auth", "configure lindy API key", "lindy webhook secret".

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Lindy Install & Auth

## Overview
Lindy AI is a no-code/low-code AI agent platform. Agents ("Lindies") are built in the
web dashboard at https://app.lindy.ai. External integration uses webhook endpoints,
the HTTP Request action, and optional Node.js/Python SDKs for programmatic access.

## Prerequisites
- Lindy account at https://app.lindy.ai (Free tier: 400 credits/month)
- For SDK access: Node.js 18+ or Python 3.10+
- For webhook receivers: HTTPS endpoint in your application

## Instructions

### Step 1: Obtain API Key
1. Log in at https://app.lindy.ai
2. Navigate to **Settings > API Keys**
3. Click **Generate New Key** — copy immediately (shown only once)
4. Store securely:
```bash
# Environment variable
export LINDY_API_KEY="lnd_live_xxxxxxxxxxxxxxxxxxxx"

# Or .env file (add .env to .gitignore)
echo 'LINDY_API_KEY=lnd_live_xxxxxxxxxxxxxxxxxxxx' >> .env
```

### Step 2: Install SDK (Optional)
```bash
# Node.js SDK
npm install lindy-ai

# Python SDK
pip install lindy-ai
```

### Step 3: Initialize Client
```typescript
// Node.js
import { Lindy } from 'lindy-ai';

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

// Verify connection
const agents = await lindy.agents.list();
console.log(`Connected: ${agents.length} agents found`);
```

```python
# Python
import os
from lindy import Lindy

client = Lindy(api_key=os.environ["LINDY_API_KEY"])

# Verify connection
agents = client.agents.list()
print(f"Connected: {len(agents)} agents found")
```

### Step 4: Configure Webhook Authentication
When creating a webhook trigger in the Lindy dashboard, generate a secret key.
Callers must include this in every request:

```
Authorization: Bearer <your-webhook-secret>
```

Your webhook endpoint URL follows the pattern:
```
https://public.lindy.ai/api/v1/webhooks/<unique-id>
```

### Step 5: Verify Webhook Connectivity
```bash
# Test your webhook trigger
curl -X POST "https://public.lindy.ai/api/v1/webhooks/YOUR_WEBHOOK_ID" \
  -H "Authorization: Bearer YOUR_SECRET" \
  -H "Content-Type: application/json" \
  -d '{"test": true, "message": "hello from setup"}'
```

## Lindy Plans & Credits

| Plan | Price | Credits/mo | Tasks | Extras |
|------|-------|-----------|-------|--------|
| Free | $0 | 400 | ~40 | Basic models |
| Pro | $49.99/mo | 5,000 | ~1,500 | +$19.99/seat, phone calls |
| Business | $299.99/mo | 30,000 | ~3,000 | 100 phone calls, 50M KB chars |
| Enterprise | Custom | Custom | Custom | SSO, SCIM, RBAC, audit logs |

Credit consumption: 1-3 credits on basic models, ~10 on large models per task.

## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| `401 Unauthorized` | Invalid or expired API key | Regenerate key in Settings > API Keys |
| `403 Forbidden` | Key lacks required scope | Check plan tier supports API access |
| `429 Too Many Requests` | Credit limit exceeded | Upgrade plan or wait for monthly reset |
| `Webhook 401` | Missing/wrong Bearer token | Verify secret matches dashboard value |
| `ECONNREFUSED` | Lindy API unreachable | Check https://status.lindy.ai |

## Security Checklist
- [ ] API key stored in env var or secret manager — never in source code
- [ ] `.env` added to `.gitignore`
- [ ] Webhook secret generated and stored securely
- [ ] HTTPS enforced on all webhook receiver endpoints
- [ ] API key scoped to minimum required permissions

## Resources
- [Lindy Documentation](https://docs.lindy.ai)
- [Lindy Dashboard](https://app.lindy.ai)
- [Lindy Academy](https://www.lindy.ai/academy-lessons/getting-started-101)
- [Lindy Status](https://status.lindy.ai)

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

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