This skill sets up Inngest in a TypeScript project from scratch, covering installation, client configuration, connection modes, and local development.
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioninngest-setupExecute the skills CLI command in your project's root directory to begin installation:
Fetches inngest-setup from inngest/inngest-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate inngest-setup. Access via /inngest-setup in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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.
Install the inngest npm package in your project:
npm install inngest
# or
yarn add inngest
# or
pnpm add inngest
# or
bun add inngest
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)
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 EnvironmentsisDev: Force Dev mode (true) or Cloud mode (false). v4 defaults to Cloud mode, so set isDev: true or INNGEST_DEV=1 for local developmentsigningKey: Signing key for production (prefer INNGEST_SIGNING_KEY env var). Moved from serve() to client in v4signingKeyFallback: 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 contextmiddleware: Array of middleware (see inngest-middleware skill)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"
})
);
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.
Inngest supports two connection modes:
Best for serverless platforms (Vercel, Lambda, etc.) and existing APIs.
Best for container runtimes (Kubernetes, Docker) and long-running processes.
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.json({ limit: "10mb" }) middleware to support larger function state.fastifyPlugin from inngest/fastifyinngest/cloudflareinngest/lambdaserve 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.
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] }]Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
inngest-setup reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in inngest-setup — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
inngest-setup has been reliable in day-to-day use. Documentation quality is above average for community skills.
inngest-setup reduced setup friction for our internal harness; good balance of opinion and flexibility.
inngest-setup has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend inngest-setup for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
inngest-setup fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: inngest-setup is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added inngest-setup from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: inngest-setup is focused, and the summary matches what you get after install.
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