inngest

Creates a REST API and SQLite database from a text description in a web browser.

1|Updated Dec 15, 2025
One-click install
npx skills add https://github.com/jokken79/YuKyuDATA-app1.0v --skill inngest-jokken79
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inngest
Source: https://github.com/jokken79/YuKyuDATA-app1.0v/tree/main/.agent/skills/inngest
Command: npx skills add https://github.com/jokken79/YuKyuDATA-app1.0v --skill inngest-jokken79

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrate reliable, serverless background jobs without managing queues or workers.

Core Features & Use Cases

  • Supports event-driven workflows, durable execution, and scalable background processing.
  • Enables long-running pipelines and scheduled tasks without provisioning or managing worker infrastructure.
  • Use Case: Build event-driven processing that survives failures and restarts from checkpoints across distributed systems.

Quick Start

Create a minimal Inngest workflow and run a sample event to validate end-to-end execution.

Frequently Asked Questions about inngest

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

FAQPage Schema
How do I run reliable background jobs in a serverless environment without managing queues?

Serverless background jobs run reliably by using durable execution to orchestrate event-driven workflows, eliminating the need to provision or manage worker infrastructure and queues.

What is durable execution for event-driven workflows?

Durable execution is a mechanism that allows event-driven workflows to survive failures and automatically restart from checkpoints, ensuring long-running pipelines complete without losing progress.

Can I use serverless background jobs for scheduled tasks and long-running pipelines?

Yes, serverless background jobs support both scheduled tasks and long-running pipelines, providing durable checkpointing and retry semantics to handle complex execution flows across distributed systems.

How do I handle concurrency control and retry semantics for background jobs?

Concurrency control and retry semantics are built into durable execution platforms, automatically managing task distribution and retrying failed operations within event-driven serverless workflows.

What's the best way to build event-driven processing that survives restarts?

Building event-driven processing that survives restarts requires durable checkpointing, which captures workflow state and automatically resumes execution from the last successful checkpoint upon failure.

Do I need to provision workers for background jobs across modern frontend and backend stacks?

No, you do not need to provision workers, as serverless durable execution seamlessly integrates with modern frontend and backend stacks to handle background jobs without infrastructure management.