Claude-code-plugins lindy-install-auth

install

source · Clone the upstream repo

git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/jeremylongshore/claude-code-plugins-plus-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/saas-packs/lindy-pack/skills/lindy-install-auth" ~/.claude/skills/jeremylongshore-claude-code-plugins-lindy-install-auth && rm -rf "$T"

manifest: plugins/saas-packs/lindy-pack/skills/lindy-install-auth/SKILL.md

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

Log in at https://app.lindy.ai
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
```
.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

Next Steps

After successful auth, proceed to

lindy-hello-world

for your first AI agent.