inngest-setup

inngest/inngest-skills · updated Apr 8, 2026

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$npx skills add https://github.com/inngest/inngest-skills --skill inngest-setup
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summary

This skill sets up Inngest in a TypeScript project from scratch, covering installation, client configuration, connection modes, and local development.

skill.md

Inngest Setup

This skill sets up Inngest in a TypeScript project from scratch, covering installation, client configuration, connection modes, and local development.

These skills are focused on TypeScript. For Python or Go, refer to the Inngest documentation for language-specific guidance. Core concepts apply across all languages.

Prerequisites

  • Node.js 18+ (Node.js 22.4+ r ecommended for WebSocket support)
  • TypeScript project
  • Package manager (npm, yarn, pnpm, or bun)

Step 1: Install the Inngest SDK

Install the inngest npm package in your project:

npm install inngest
# or
yarn add inngest
# or
pnpm add inngest
# or
bun add inngest

Step 2: Create an Inngest Client

Create a shared client file that you'll import throughout your codebase:

// src/inngest/client.ts
import { Inngest } from "inngest";

export const inngest = new Inngest({
  id: "my-app" // Unique identifier for your application (hyphenated slug)
});
// In development, you must set the INNGEST_DEV=1 env var or use isDev: true
// In production, INNGEST_SIGNING_KEY is required (v4 defaults to Cloud mode)

Key Configuration Options

  • id (required): Unique identifier for your app. Use a hyphenated slug like "my-app" or "user-service"
  • eventKey: Event key for sending events (prefer INNGEST_EVENT_KEY env var)
  • env: Environment name for Branch Environments
  • isDev: Force Dev mode (true) or Cloud mode (false). v4 defaults to Cloud mode, so set isDev: true or INNGEST_DEV=1 for local development
  • signingKey: Signing key for production (prefer INNGEST_SIGNING_KEY env var). Moved from serve() to client in v4
  • signingKeyFallback: Fallback signing key for key rotation (prefer INNGEST_SIGNING_KEY_FALLBACK env var)
  • baseUrl: Custom Inngest API base URL (prefer INNGEST_BASE_URL env var)
  • logger: Custom logger instance (e.g. winston, pino) — enables logger in function context
  • middleware: Array of middleware (see inngest-middleware skill)

Typed Events with eventType()

import { Inngest, eventType } from "inngest";
import { z } from "zod";

const signupCompleted = eventType("user/signup.completed", {
  schema: z.object({
    userId: z.string(),
    email: z.string(),
    plan: z.enum(["free", "pro"])
  })
});

const orderPlaced = eventType("order/placed", {
  schema: z.object({
    orderId: z.string(),
    amount: z.number()
  })
});

export const inngest = new Inngest({ id: "my-app" });

// Use event types as triggers for full type safety:
inngest.createFunction(
  { id: "handle-signup", triggers: [signupCompleted] },
  async ({ event }) => {
    event.data.userId; /* typed as string */
  }
);

// Use event types when sending events:
await inngest.send(
  signupCompleted.create({
    userId: "user_123",
    email: "[email protected]",
    plan: "pro"
  })
);

Environment Variables Setup

Set these environment variables in your .env file or deployment environment:

# Required for production
INNGEST_EVENT_KEY=your-event-key-here
INNGEST_SIGNING_KEY=your-signing-key-here

# Force dev mode during local development
INNGEST_DEV=1

# Optional - custom dev server URL (default: http://localhost:8288)
INNGEST_BASE_URL=http://localhost:8288

⚠️ Common Gotcha: Never hardcode keys in your source code. Always use environment variables for INNGEST_EVENT_KEY and INNGEST_SIGNING_KEY.

Step 3: Choose Your Connection Mode

Inngest supports two connection modes:

Mode A: Serve Endpoint (HTTP)

Best for serverless platforms (Vercel, Lambda, etc.) and existing APIs.

Mode B: Connect (WebSocket)

Best for container runtimes (Kubernetes, Docker) and long-running processes.

Step 4A: Serving an Endpoint (HTTP Mode)

Create an API endpoint that exposes your functions to Inngest:

// For Next.js App Router: src/app/api/inngest/route.ts
import { serve } from "inngest/next";
import { inngest } from "../../../inngest/client";
import { myFunction } from "../../../inngest/functions";

export const { GET, POST, PUT } = serve({
  client: inngest,
  functions: [myFunction]
});
// For Next.js Pages Router: pages/api/inngest.ts
import { serve } from "inngest/next";
import { inngest } from "../../inngest/client";
import { myFunction } from "../../inngest/functions";

export default serve({
  client: inngest,
  functions: [myFunction]
});
// For Express.js
import express from "express";
import { serve } from "inngest/express";
import { inngest } from "./inngest/client";
import { myFunction } from "./inngest/functions";

const app = express();
app.use(express.json({ limit: "10mb" })); // Required for Inngest, increase limit for larger function state

app.use(
  "/api/inngest",
  serve({
    client: inngest,
    functions: [myFunction]
  })
);

🔧 Framework-Specific Notes:

  • Express: Must use express.json({ limit: "10mb" }) middleware to support larger function state.
  • Fastify: Use fastifyPlugin from inngest/fastify
  • Cloudflare Workers: Use inngest/cloudflare
  • AWS Lambda: Use inngest/lambda
  • For all other frameworks, check the serve reference here: https://www.inngest.com/docs-markdown/learn/serving-inngest-functions

⚠️ v4 Change: Options like signingKey, signingKeyFallback, and baseUrl are now configured on the Inngest client constructor, not on serve(). The serve() function only accepts client, functions, and streaming.

⚠️ Common Gotcha: Always use /api/inngest as your endpoint path. This enables automatic discovery. If you must use a different path, you'll need to configure discovery manually with the -u flag.

Step 4B: Connect as Worker (WebSocket Mode)

For long-running applications that maintain persistent connections:

// src/worker.ts
import { connect } from "inngest/connect";
import { inngest } from "./inngest/client";
import { myFunction } from "./inngest/functions";

(async () => {
  const connection = await connect({
    apps: [{ client: inngest, functions: [myFunction] }]
how to use inngest-setup

How to use inngest-setup on Cursor

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1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add inngest-setup
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/inngest/inngest-skills --skill inngest-setup

The skills CLI fetches inngest-setup from GitHub repository inngest/inngest-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/inngest-setup

Reload or restart Cursor to activate inngest-setup. Access the skill through slash commands (e.g., /inngest-setup) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.742 reviews
  • Valentina Smith· Dec 12, 2024

    inngest-setup reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Valentina Menon· Dec 12, 2024

    Useful defaults in inngest-setup — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Dhruvi Jain· Dec 4, 2024

    inngest-setup has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Oshnikdeep· Nov 23, 2024

    inngest-setup reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Evelyn Iyer· Nov 3, 2024

    inngest-setup has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Evelyn Martinez· Nov 3, 2024

    I recommend inngest-setup for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Xiao Rahman· Oct 22, 2024

    inngest-setup fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ira Rahman· Oct 22, 2024

    Keeps context tight: inngest-setup is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ganesh Mohane· Oct 14, 2024

    We added inngest-setup from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Hiroshi Wang· Sep 25, 2024

    Solid pick for teams standardizing on skills: inngest-setup is focused, and the summary matches what you get after install.

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