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".
npxskills add jeremylongshore/claude-code-plugins-plus-skills--skill lindy-install-authLoading…
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.
# Environment variable
export LINDY_API_KEY="lnd_live_xxxxxxxxxxxxxxxxxxxx"
# Or .env file (add .env to .gitignore)
echo 'LINDY_API_KEY=lnd_live_xxxxxxxxxxxxxxxxxxxx' >> .env
# Node.js SDK
npm install lindy-ai
# Python SDK
pip install lindy-ai
// 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")
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>
# 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"}'
| 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 | 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 |
.env added to .gitignoreAfter successful auth, proceed to lindy-hello-world for your first AI agent.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).