trigger-realtime

Stream real-time task updates and AI responses for Trigger.dev runs.

66|15|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/LeadGrowGTM/research-process-builder --skill trigger-realtime-leadgrowgtm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trigger-realtime
Source: https://github.com/LeadGrowGTM/research-process-builder/tree/main/archive/.agents-deprecated/skills/trigger-realtime
Command: npx skills add https://github.com/LeadGrowGTM/research-process-builder --skill trigger-realtime-leadgrowgtm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the challenge of building real-time visibility into long-running Trigger.dev tasks by enabling live status updates, progress tracking, and streamed responses without manual polling.

Core Features & Use Cases

  • Run Subscriptions: Monitor task execution status, metadata changes, outputs, and tagged runs from backend services or frontend interfaces.
  • Realtime Streams and Human Approval: Stream AI or LLM responses to users and implement workflows that pause for human approval before continuing.
  • Use Case: Build a live dashboard that shows background AI processing progress, task completion states, and streamed results as they are generated.

Quick Start

Use the trigger-realtime skill to add live task status updates and streaming responses to my Trigger.dev application.

Frequently Asked Questions about trigger-realtime

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I stream live task progress from Trigger.dev to my frontend?

To stream live task progress from Trigger.dev, subscribe to task runs using realtime hooks and scoped authentication tokens. This enables live status updates and streamed outputs directly in your application without manual polling.

Can I use realtime streams for human-in-the-loop approval workflows?

Yes, realtime streams support human-in-the-loop approval workflows. You can implement tasks that pause execution for human approval before continuing, allowing backend services to monitor tagged runs and resume upon user input.

What's the best way to build a live dashboard for AI response streaming?

The best way to build a live dashboard for AI response streaming is applying typed task subscriptions and stream handling for frontend integrations. This displays background AI processing progress and streamed results as they are generated.

Do I need scoped authentication tokens to monitor task execution status?

Yes, scoped authentication tokens are required to monitor task execution status securely. They ensure that realtime hooks and backend run subscriptions have the proper permissions to access metadata changes and task outputs.

How does realtime monitoring handle task metadata changes and tagged runs?

Realtime monitoring handles task metadata changes and tagged runs by applying typed task subscriptions. These subscriptions track execution status and output updates continuously from backend services or frontend interfaces.

Why use realtime task subscriptions instead of manual polling for long-running tasks?

Realtime task subscriptions replace manual polling by continuously streaming updates for long-running tasks. This provides immediate visibility into status changes, progress tracking, and outputs, eliminating the latency and overhead of repeated polling requests.