Inngest Events logo

Inngest Events

Organization
Asymmetric-al
inngest-events

Use when designing event-driven workflows, decoupling services, implementing fan-out patterns (one trigger, many downstream handlers), implementing idempotent event handling with IDs (24-hour dedupe window), or handling at-least-once delivery from external sources like Stripe webhooks. Covers Inngest event schema, payload format, naming conventions, IDs for idempotency, the ts param, fan-out patterns, and system events like inngest/function.failed.

Overview

PublisherAsymmetric-al
Repositorycore
Skill nameinngest-events
Stars
383
Forks
7
Bundled files
Instructions only
LicenseAGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Asymmetric-al on GitHub. Read the source before you install it.

Installation

Install the Inngest Events AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Asymmetric-al/core.git /tmp/core
mkdir -p .claude/skills
cp -r /tmp/core/docs/ai/skills/inngest-events .claude/skills/inngest-events
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Inngest Events in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Inngest Events on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Inngest Events is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Inngest Events

Master Inngest event design and delivery patterns. Events are the foundation of Inngest - learn to design robust event schemas, implement idempotency, leverage fan-out patterns, and handle system events effectively.

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.

Event Payload Format

Every Inngest event is a JSON object with required and optional properties:

Required Properties

typescript
type Event = {
  name: string; // Event type (triggers functions)
  data: object; // Payload data (any nested JSON)
};

Complete Schema

typescript
type EventPayload = {
  name: string; // Required: event type
  data: Record<string, any>; // Required: event data
  id?: string; // Optional: deduplication ID
  ts?: number; // Optional: timestamp (Unix ms)
  v?: string; // Optional: schema version
};

Basic Event Example

typescript
await inngest.send({
  name: "billing/invoice.paid",
  data: {
    customerId: "cus_NffrFeUfNV2Hib",
    invoiceId: "in_1J5g2n2eZvKYlo2C0Z1Z2Z3Z",
    userId: "user_03028hf09j2d02",
    amount: 1000,
    metadata: {
      accountId: "acct_1J5g2n2eZvKYlo2C0Z1Z2Z3Z",
      accountName: "Acme.ai",
    },
  },
});

Event Naming Conventions

Use the Object-Action pattern: domain/noun.verb

Recommended Patterns

typescript
// ✅ Good: Clear object-action pattern
"billing/invoice.paid";
"user/profile.updated";
"order/item.shipped";
"ai/summary.completed";

// ✅ Good: Domain prefixes for organization
"stripe/customer.created";
"intercom/conversation.assigned";
"slack/message.posted";

// ❌ Avoid: Unclear or inconsistent
"payment"; // What happened?
"user_update"; // Use dots, not underscores
"invoiceWasPaid"; // Too verbose

Naming Guidelines

  • Past tense: Events describe what happened (created, updated, failed)
  • Dot notation: Use dots for hierarchy (billing/invoice.paid)
  • Prefixes: Group related events (api/user.created, webhook/stripe.received)
  • Consistency: Establish patterns and stick to them

Event IDs and Idempotency

When to use IDs: Prevent duplicate processing when events might be sent multiple times.

Basic Deduplication

typescript
await inngest.send({
  id: "cart-checkout-completed-ed12c8bde", // Unique per event type
  name: "storefront/cart.checkout.completed",
  data: {
    cartId: "ed12c8bde",
    items: ["item1", "item2"],
  },
});

ID Best Practices

typescript
// ✅ Good: Specific to event type and instance
id: `invoice-paid-${invoiceId}`;
id: `user-signup-${userId}-${timestamp}`;
id: `order-shipped-${orderId}-${trackingNumber}`;

// ❌ Bad: Generic IDs shared across event types
id: invoiceId; // Could conflict with other events
id: "user-action"; // Too generic
id: customerId; // Same customer, different events

Deduplication window: 24 hours from first event reception

See inngest-durable-functions for idempotency configuration.

The ts Parameter for Delayed Delivery

When to use: Schedule events for future processing or maintain event ordering.

Future Scheduling

typescript
const oneHourFromNow = Date.now() + 60 * 60 * 1000;

await inngest.send({
  name: "trial/reminder.send",
  ts: oneHourFromNow, // Deliver in 1 hour
  data: {
    userId: "user_123",
    trialExpiresAt: "2024-02-15T12:00:00Z",
  },
});

Maintaining Event Order

typescript
// Events with timestamps are processed in chronological order
const events = [
  {
    name: "user/action.performed",
    ts: 1640995200000, // Earlier
    data: { action: "login" },
  },
  {
    name: "user/action.performed",
    ts: 1640995260000, // Later
    data: { action: "purchase" },
  },
];

await inngest.send(events);

Fan-Out Patterns

Use case: One event triggers multiple independent functions for reliability and parallel processing.

Basic Fan-Out Implementation

typescript
// Send single event
await inngest.send({
  name: "user/signup.completed",
  data: {
    userId: "user_123",
    email: "user@example.com",
    plan: "pro",
  },
});

// Multiple functions respond to same event
const sendWelcomeEmail = inngest.createFunction(
  { id: "send-welcome-email", triggers: [{ event: "user/signup.completed" }] },
  async ({ event, step }) => {
    await step.run("send-email", async () => {
      return sendEmail({
        to: event.data.email,
        template: "welcome",
      });
    });
  },
);

const createTrialSubscription = inngest.createFunction(
  { id: "create-trial", triggers: [{ event: "user/signup.completed" }] },
  async ({ event, step }) => {
    await step.run("create-subscription", async () => {
      return stripe.subscriptions.create({
        customer: event.data.stripeCustomerId,
        trial_period_days: 14,
      });
    });
  },
);

const addToCrm = inngest.createFunction(
  { id: "add-to-crm", triggers: [{ event: "user/signup.completed" }] },
  async ({ event, step }) => {
    await step.run("crm-sync", async () => {
      return crm.contacts.create({
        email: event.data.email,
        plan: event.data.plan,
      });
    });
  },
);

Fan-Out Benefits

  • Independence: Functions run separately; one failure doesn't affect others
  • Parallel execution: All functions run simultaneously
  • Selective replay: Re-run only failed functions
  • Cross-service: Trigger functions in different codebases/languages

Advanced Fan-Out with waitForEvent

In expressions, event = the original triggering event, async = the new event being matched. See Expression Syntax Reference for full details.

typescript
const orchestrateOnboarding = inngest.createFunction(
  {
    id: "orchestrate-onboarding",
    triggers: [{ event: "user/signup.completed" }],
  },
  async ({ event, step }) => {
    // Fan out to multiple services
    await step.sendEvent("fan-out", [
      { name: "email/welcome.send", data: event.data },
      { name: "subscription/trial.create", data: event.data },
      { name: "crm/contact.add", data: event.data },
    ]);

    // Wait for all to complete
    const [emailResult, subResult, crmResult] = await Promise.all([
      step.waitForEvent("email-sent", {
        event: "email/welcome.sent",
        timeout: "5m",
        if: `event.data.userId == async.data.userId`,
      }),
      step.waitForEvent("subscription-created", {
        event: "subscription/trial.created",
        timeout: "5m",
        if: `event.data.userId == async.data.userId`,
      }),
      step.waitForEvent("crm-synced", {
        event: "crm/contact.added",
        timeout: "5m",
        if: `event.data.userId == async.data.userId`,
      }),
    ]);

    // Complete onboarding
    await step.run("complete-onboarding", async () => {
      return completeUserOnboarding(event.data.userId);
    });
  },
);

See inngest-steps for additional patterns including step.invoke.

System Events

Inngest emits system events for function lifecycle monitoring:

Available System Events

typescript
// Function execution events
"inngest/function.failed"; // Function failed after retries
"inngest/function.finished"; // Function finished - completed or failed
"inngest/function.cancelled"; // Function cancelled before completion

Handling Failed Functions

typescript
const handleFailures = inngest.createFunction(
  {
    id: "handle-failed-functions",
    triggers: [{ event: "inngest/function.failed" }],
  },
  async ({ event, step }) => {
    const { function_id, run_id, error } = event.data;

    await step.run("log-failure", async () => {
      logger.error("Function failed", {
        functionId: function_id,
        runId: run_id,
        error: error.message,
        stack: error.stack,
      });
    });

    // Alert on critical function failures
    if (function_id.includes("critical")) {
      await step.run("send-alert", async () => {
        return alerting.sendAlert({
          title: `Critical function failed: ${function_id}`,
          severity: "high",
          runId: run_id,
        });
      });
    }

    // Auto-retry certain failures
    if (error.code === "RATE_LIMIT_EXCEEDED") {
      await step.run("schedule-retry", async () => {
        return inngest.send({
          name: "retry/function.requested",
          ts: Date.now() + 5 * 60 * 1000, // Retry in 5 minutes
          data: { originalRunId: run_id },
        });
      });
    }
  },
);

Sending Events

Client Setup

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

export const inngest = new Inngest({
  id: "my-app",
});
// You must set INNGEST_EVENT_KEY environment variable in production

Single Event

typescript
const result = await inngest.send({
  name: "order/placed",
  data: {
    orderId: "ord_123",
    customerId: "cus_456",
    amount: 2500,
    items: [
      { id: "item_1", quantity: 2 },
      { id: "item_2", quantity: 1 },
    ],
  },
});

// Returns event IDs for tracking
console.log(result.ids); // ["01HQ8PTAESBZPBDS8JTRZZYY3S"]

Batch Events

typescript
const orderItems = await getOrderItems(orderId);

// Convert to events
const events = orderItems.map((item) => ({
  name: "inventory/item.reserved",
  data: {
    itemId: item.id,
    orderId: orderId,
    quantity: item.quantity,
    warehouseId: item.warehouseId,
  },
}));

// Send all at once (up to 512kb)
await inngest.send(events);

Sending from Functions

typescript
inngest.createFunction(
  { id: "process-order", triggers: [{ event: "order/placed" }] },
  async ({ event, step }) => {
    // Use step.sendEvent() instead of inngest.send() in functions
    // for reliability and deduplication
    await step.sendEvent("trigger-fulfillment", {
      name: "fulfillment/order.received",
      data: {
        orderId: event.data.orderId,
        priority: event.data.customerTier === "premium" ? "high" : "normal",
      },
    });
  },
);

Event Design Best Practices

Schema Versioning

typescript
// Use version field to track schema changes
await inngest.send({
  name: "user/profile.updated",
  v: "2024-01-15.1", // Schema version
  data: {
    userId: "user_123",
    changes: {
      email: "new@example.com",
      preferences: { theme: "dark" },
    },
    // New field in v2 schema
    auditInfo: {
      changedBy: "user_456",
      reason: "user_requested",
    },
  },
});

Rich Context Data

typescript
// Include enough context for all consumers
await inngest.send({
  name: "payment/charge.succeeded",
  data: {
    // Primary identifiers
    chargeId: "ch_123",
    customerId: "cus_456",

    // Amount details
    amount: 2500,
    currency: "usd",

    // Context for different consumers
    subscription: {
      id: "sub_789",
      plan: "pro_monthly",
    },
    invoice: {
      id: "inv_012",
      number: "INV-2024-001",
    },

    // Metadata for debugging
    paymentMethod: {
      type: "card",
      last4: "4242",
      brand: "visa",
    },
    metadata: {
      source: "stripe_webhook",
      environment: "production",
    },
  },
});

Event design principles:

  1. Self-contained: Include all data consumers need
  2. Immutable: Never modify event schemas after sending
  3. Traceable: Include correlation IDs and audit trails
  4. Actionable: Provide enough context for business logic
  5. Debuggable: Include metadata for troubleshooting

This Repository

These upstream Inngest instructions are vendored for agent tooling and integration work in this monorepo.

Repository Triggers

Use this skill when inngest-events matches the current Inngest task. If the right skill is unclear, start with docs/ai/skills/inngest/SKILL.md.

Repository Workflow

  1. Confirm whether the request is agent-tooling guidance or product runtime integration.
  2. Use inngest-brownfield-audit before changing existing app workflows or fragile background work.
  3. Follow this upstream guidance under OpenSpec, root AGENTS.md, repo rulebooks, framework docs, and runtime evidence.
  4. Keep runtime packages, app code, migrations, and INNGEST_* env requirements out of agent-tooling-only changes.

Repository Checklist

  • The task has explicit product-runtime scope before adding Inngest app code or dependencies.
  • Existing workflows were audited before introducing or changing durable workflow behavior.
  • Any MCP usage is backed by a running Inngest dev server on the configured port.
  • Upstream source and license attribution remain documented in docs/ai/skills/inngest/references/upstream.md.

Frequently asked questions

What does the Inngest Events AI skill do?

Use when designing event-driven workflows, decoupling services, implementing fan-out patterns (one trigger, many downstream handlers), implementing idempotent event handling with IDs (24-hour dedupe window), or handling at-least-once delivery from external sources like Stripe webhooks. Covers Inngest event schema, payload format, naming conventions, IDs for idempotency, the ts param, fan-out patterns, and system events like inngest/function.failed.

Why use Inngest Events on TypingMind?

Because you install it once and use it with any model. Inngest Events is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Inngest Events in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Asymmetric-al/core/tree/develop/docs/ai/skills/inngest-events. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Inngest Events?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Inngest Events?

As many as you like. As long as a model supports skills, you can use Inngest Events with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Inngest Events AI skill free?

Yes. It is published on GitHub by Asymmetric-al under the AGPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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