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lindy-webhooks-events Configure Lindy AI webhook triggers, callback patterns, and event handling.
Use when setting up webhook triggers, implementing callback receivers,
or building event-driven Lindy integrations.
Trigger with phrases like "lindy webhook", "lindy events",
"lindy callback", "lindy webhook trigger".
الانتقال إلى التثبيت سوق المهارات اكتشف واستكشف مهارات الذكاء الاصطناعي التي بناها المجتمع.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
عرض تفاصيل Prompt يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill lindy-webhooks-eventsيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
تحميل Zip جاري التحميل... المزيد من هذا المستودع Implement user sign-up and sign-in flows with Clerk.
Use when building authentication UI, customizing sign-in experience,
or implementing OAuth social login.
Trigger with phrases like "clerk sign-in", "clerk sign-up",
"clerk login flow", "clerk OAuth", "clerk social login".
Implement session management and middleware with Clerk.
Use when managing user sessions, configuring route protection,
or implementing token refresh and custom JWT templates.
Trigger with phrases like "clerk session", "clerk middleware",
"clerk route protection", "clerk token", "clerk JWT".
Configure enterprise SSO, role-based access control, and organization management.
Use when implementing SSO integration, configuring role-based permissions,
or setting up organization-level controls.
Trigger with phrases like "clerk SSO", "clerk RBAC",
"clerk enterprise", "clerk roles", "clerk permissions", "clerk organizations".
المهن ذات الصلة SOC
استنادا إلى تصنيف SOC المهني
name lindy-webhooks-events description Configure Lindy AI webhook triggers, callback patterns, and event handling.
Use when setting up webhook triggers, implementing callback receivers,
or building event-driven Lindy integrations.
Trigger with phrases like "lindy webhook", "lindy events",
"lindy callback", "lindy webhook trigger".
allowed-tools Read, Write, Edit, Bash(curl:*) version 1.15.0 license MIT author Jeremy Longshore <jeremy@intentsolutions.io> tags ["saas","lindy","webhooks"] compatibility Designed for Claude Code, also compatible with Codex and OpenClaw
Lindy Webhooks & Events
Overview
Lindy supports webhooks in two directions: Inbound (Webhook Received trigger
wakes an agent) and Outbound (HTTP Request action calls your API). This skill
covers both patterns, plus the callback pattern for async two-way communication.
Prerequisites
Lindy account with active agents
HTTPS endpoint for receiving callbacks (if using outbound/callback patterns)
Completed lindy-install-auth setup
Webhook Architecture
INBOUND (your system triggers Lindy):
[Your App] --POST--> https://public.lindy.ai/api/v1/webhooks/<id>
↓
[Lindy Agent Wakes Up]
↓
[Processes with LLM]
↓
[Executes Actions]
OUTBOUND (Lindy calls your system):
[Lindy Agent] --HTTP Request action--> https://your-api.com/endpoint
↓
[Your Handler]
CALLBACK (two-way async):
[Your App] --POST with callbackUrl--> [Lindy Agent]
↓
[Your App] <--POST to callbackUrl-- [Lindy: Send POST to Callback]
Instructions
Step 1: Create Webhook Received Trigger
In your agent, click the trigger node
Select Webhook Received
Lindy generates a unique URL:
https://public.lindy.ai/api/v1/webhooks/<unique-id>
Click Generate Secret — copy immediately (shown only once)
Configure follow-up processing mode:
Process in workflow : Handle in current workflowSpawn separate task : Each webhook creates a new taskDiscard follow-ups : Ignore subsequent requests while processing
Step 2: Access Webhook Data in Workflow
Reference incoming webhook data in any subsequent action field:
Variable Description Example {{webhook_received.request.body}}Full JSON payload {"event": "order.created", ...}{{webhook_received.request.body.event}}Specific field
{{webhook_received.request.headers}}All HTTP headers {"content-type": "application/json"}
{{webhook_received.request.query}}URL query params {"source": "stripe"}
Step 3: Implement Webhook Sender
interface LindyWebhookPayload {
event : string ;
data : Record <string , unknown >;
callbackUrl ?: string ;
metadata ?: Record <string , unknown >;
}
async function triggerLindy (payload : LindyWebhookPayload Promise <void > {
const response = await fetch (process.env .LINDY_WEBHOOK_URL !, {
method : 'POST' ,
headers : {
'Authorization' : `Bearer ${process.env.LINDY_WEBHOOK_SECRET} ` ,
'Content-Type' : 'application/json' ,
},
body : JSON .stringify (payload),
});
if (!response.ok ) {
throw new Error (`Lindy webhook failed: ${response.status} ` );
}
}
await triggerLindy ({
event : 'customer.support_request' ,
data : { email : 'user@co.com' , subject : 'Billing question' , body : '...' },
});
await triggerLindy ({
event : 'lead.qualified' ,
data : { name : 'Jane Doe' , company : 'Acme' , score : 85 },
callbackUrl : 'https://api.yourapp.com/lindy/callback' ,
});
Step 4: Implement Callback Receiver When you include a callbackUrl in your webhook payload, the agent can respond
using the Send POST Request to Callback action:
import express from 'express' ;
const app = express ();
app.use (express.json ());
app.post ('/lindy/callback' , (req, res ) => {
const auth = req.headers .authorization ;
if (auth !== `Bearer ${process.env.LINDY_WEBHOOK_SECRET} ` ) {
return res.status (401 ).json ({ error : 'Unauthorized' });
}
res.json ({ received : true });
handleCallback (req.body );
});
async function handleCallback (data : any console .log ('Lindy callback:' , data);
const { classification, sentiment, draft_response, confidence } = data;
if (confidence > 0.9 ) {
await sendAutoResponse (draft_response);
} else {
await escalateToHuman (data);
}
}
Step 5: Configure HTTP Request Action (Outbound) For Lindy agents that call your API as an action step:
Add action: HTTP Request
Configure:
Method : POST (or GET, PUT, DELETE)
URL : https://api.yourapp.com/endpoint
Headers (Set Manually):
Content-Type: application/json
Authorization: Bearer {{your_api_key}}
Body (AI Prompt mode):
Send the analysis result as JSON with fields:
classification, sentiment, summary
Based on: {{previous_step.result}}
Step 6: Add Trigger Filters Prevent unnecessary agent triggers:
Filter: body.event equals "order.created"
AND body.data.amount greater_than 100
This ensures the agent only processes high-value orders, saving credits.
Event Patterns
Pattern: Webhook + Slack Notification Webhook Received → Condition (classify event type)
→ "billing" → Search KB → Draft Reply → Send Email + Slack Alert
→ "technical" → Agent Step (investigate) → Create Ticket → Slack Alert
→ "other" → Forward to team inbox
Pattern: Webhook + Callback Webhook Received (with callbackUrl) → Process Data → Run Code
→ Send POST Request to Callback (returns results to caller)
Pattern: Webhook + Multi-Agent Webhook Received → Agent Send Message (to Research Lindy)
→ Research Lindy completes → Agent Send Message (to Writer Lindy)
→ Writer Lindy completes → Send Email with final output
Monitoring Triggers Lindy provides built-in monitoring triggers:
Task Completed : Fires when an agent completes a taskUse this to build observability pipelines: Agent completes → log to sheet → alert on failures
Error Handling Issue Cause Solution 401 on webhook send Wrong or missing Bearer token Verify secret matches Generate Secret value Webhook URL returns 404 Agent deleted or URL changed Re-copy URL from agent trigger settings Callback not received callbackUrl unreachable Ensure HTTPS, public endpoint, no firewall Duplicate processing Webhook retried Implement idempotency with event IDs Payload too large Body exceeds limit Reduce payload size, send references not data
Security
Always use HTTPS for webhook URLs
Generate and verify webhook secrets on every request
Rotate secrets every 90 days
Log all webhook attempts (including rejected ones)
Rate limit your webhook sender to prevent flooding
Resources
Next Steps Proceed to lindy-performance-tuning for agent optimization.
