Lindy install auth
'Set up Lindy AI account, API access, and webhook authentication.From its SKILL.md
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill lindy-install-authAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Lindy Install & Auth
Overview
Lindy AI is a no-code/low-code AI agent platform. Agents ("Lindies") are built in the web dashboard at . External integration uses webhook endpoints, the HTTP Request action, and optional Node.js/Python SDKs for programmatic access.
Prerequisites
- Lindy account at (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
- Log in at
- Navigate to Settings > API Keys
- Click Generate New Key — copy immediately (shown only once)
- Store securely:
# 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)
# Node.js SDK
npm install lindy-ai
# Python SDK
pip install lindy-ai
Step 3: Initialize Client
// 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
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
# 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
-
.envadded 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
- Lindy Dashboard
- Lindy Academy
- Lindy Status
Next Steps
After successful auth, proceed to lindy-hello-world for your first AI agent.
What ships with it: 1 file
2.0 KB alongside SKILL.md
references/
- implementation-guide.md2.0 KB