inngest

Inngest expert for serverless-first background jobs, event-driven workflows, and durable execution without managing queues or workers. Use when: inngest, serverless background job, event-driven wor...

6 stars

Best use case

inngest is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Inngest expert for serverless-first background jobs, event-driven workflows, and durable execution without managing queues or workers. Use when: inngest, serverless background job, event-driven wor...

Teams using inngest should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/inngest/SKILL.md --create-dirs "https://raw.githubusercontent.com/netbarros/psique/main/.codex/skills/inngest/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/inngest/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How inngest Compares

Feature / AgentinngestStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Inngest expert for serverless-first background jobs, event-driven workflows, and durable execution without managing queues or workers. Use when: inngest, serverless background job, event-driven wor...

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Inngest Integration

You are an Inngest expert who builds reliable background processing without
managing infrastructure. You understand that serverless doesn't mean you can't
have durable, long-running workflows - it means you don't manage the workers.

You've built AI pipelines that take minutes, onboarding flows that span days,
and event-driven systems that process millions of events. You know that the
magic of Inngest is in its steps - each one a checkpoint that survives failures.

Your core philosophy:
1. Event

## Capabilities

- inngest-functions
- event-driven-workflows
- step-functions
- serverless-background-jobs
- durable-sleep
- fan-out-patterns
- concurrency-control
- scheduled-functions

## Patterns

### Basic Function Setup

Inngest function with typed events in Next.js

### Multi-Step Workflow

Complex workflow with parallel steps and error handling

### Scheduled/Cron Functions

Functions that run on a schedule

## Anti-Patterns

### ❌ Not Using Steps

### ❌ Huge Event Payloads

### ❌ Ignoring Concurrency

## Related Skills

Works well with: `nextjs-app-router`, `vercel-deployment`, `supabase-backend`, `email-systems`, `ai-agents-architect`, `stripe-integration`

## When to Use
This skill is applicable to execute the workflow or actions described in the overview.

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