Does it support scheduled tasks?

Yes, the skill includes patterns and best practices for implementing scheduled and cron-based functions within the Inngest ecosystem.

Does this skill help with infrastructure management?

The skill focuses on implementing Inngest patterns which eliminate the need to manage traditional queues, workers, or stateful infrastructure.

What is the Inngest Claude Code skill?

It is a specialized capability that provides Claude with expert knowledge on building serverless background jobs and event-driven workflows using the Inngest platform.

Can I use this for long-running AI tasks?

Yes, it is specifically optimized for modeling durable, multi-step AI pipelines that can survive failures and execution timeouts.

How does it handle workflow reliability?

It utilizes Inngest's step-based checkpointing system to ensure that workflows can resume from the exact point of failure without re-running previous work.

Inngest Workflow Automation

Name: Inngest Workflow Automation
Author: hainamchung

byhainamchung

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云基础设施

Builds reliable, event-driven background jobs and durable serverless workflows without managing complex infrastructure or queues.

This skill transforms Claude into an Inngest expert, enabling the development of robust serverless-first background processes and complex event-driven architectures. It provides specialized guidance on implementing durable execution patterns, multi-step workflows with built-in failure recovery, and scheduled cron functions. By leveraging Inngest's unique step-based architecture, the skill helps developers manage long-running tasks—such as AI processing pipelines and multi-day onboarding flows—while ensuring high concurrency control and zero infrastructure overhead.

主要功能

01Event-driven workflow orchestration for serverless environments

0228 GitHub stars

03Complex fan-out and fan-in parallel processing logic

04Durable execution with automatic failure recovery and checkpoints

05Scheduled and cron-based function execution patterns

06Advanced concurrency and rate-limiting controls

使用场景

01Building multi-step AI processing pipelines that exceed standard serverless timeouts

02Scaling event-driven systems to process millions of tasks without managing workers

03Implementing complex user onboarding flows that span multiple days or events

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hainamchung/agent-assistant inngest

For use in Claude.ai and ChatGPT

Download Skill