Inngest Integration

Overview

This public intake copy packages

plugins/antigravity-awesome-skills-claude/skills/inngest

https://github.com/sickn33/antigravity-awesome-skills

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses

metadata.json

ORIGIN.md

Inngest Integration Inngest expert for serverless-first background jobs, event-driven workflows, and durable execution without managing queues or workers.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Capabilities, Scope, Tooling, Patterns, Validation Checks, Collaboration.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• User mentions or implies: inngest
• User mentions or implies: serverless background job
• User mentions or implies: event-driven workflow
• User mentions or implies: step function
• User mentions or implies: durable execution
• User mentions or implies: vercel background job

Operating Table

metadata.json

ORIGIN.md

SKILL.md

SKILL.md

## Related Skills

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
2. Read the overview and provenance files before loading any copied upstream support files.
3. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
4. Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
5. Validate the result against the upstream expectations and the evidence you can point to in the copied files.
6. Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.
7. Before merge or closure, record what was used, what changed, and what the reviewer still needs to verify.

Imported Workflow Notes

Imported: Capabilities

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

Examples

Example 1: Ask for the upstream workflow directly

Use @inngest to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @inngest against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @inngest for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @inngest using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Events are the primitive - everything triggers from events, not queues
• Steps are your checkpoints - each step result is durably stored
• Sleep is not a hack - Inngest sleeps are real, not blocking threads
• Retries are automatic - but you control the policy
• Functions are just HTTP handlers - deploy anywhere that serves HTTP
• Concurrency is a first-class concern - protect downstream services
• Idempotency keys prevent duplicates - use them for critical operations

Imported Operating Notes

Imported: Principles

• Events are the primitive - everything triggers from events, not queues
• Steps are your checkpoints - each step result is durably stored
• Sleep is not a hack - Inngest sleeps are real, not blocking threads
• Retries are automatic - but you control the policy
• Functions are just HTTP handlers - deploy anywhere that serves HTTP
• Concurrency is a first-class concern - protect downstream services
• Idempotency keys prevent duplicates - use them for critical operations
• Fan-out is built-in - one event can trigger many functions

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in

plugins/antigravity-awesome-skills-claude/skills/inngest

metadata.json

ORIGIN.md

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated

SKILL.md

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @base

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @calc

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @draw

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @image-studio

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

references

references/n/a

examples

examples/n/a

scripts

scripts/n/a

agents

agents/n/a

assets

assets/n/a

Imported Reference Notes

Imported: Scope

• redis-queues -> bullmq-specialist
• workflow-orchestration -> temporal-craftsman
• message-streaming -> event-architect
• infrastructure -> infra-architect

Imported: Tooling

Core

• inngest
• inngest-cli

Frameworks

• nextjs
• express
• hono
• remix
• sveltekit

Deployment

• vercel
• cloudflare-workers
• netlify
• railway
• fly-io

Patterns

• step-functions
• event-fan-out
• scheduled-cron
• webhook-handling

Imported: Patterns

Basic Function Setup

Inngest function with typed events in Next.js

When to use: Starting with Inngest in any Next.js project

// lib/inngest/client.ts import { Inngest } from 'inngest';

export const inngest = new Inngest({ id: 'my-app', schemas: new EventSchemas().fromRecord<Events>(), });

// Define your events with types type Events = { 'user/signed.up': { data: { userId: string; email: string } }; 'order/placed': { data: { orderId: string; total: number } }; };

// lib/inngest/functions.ts import { inngest } from './client';

export const sendWelcomeEmail = inngest.createFunction( { id: 'send-welcome-email' }, { event: 'user/signed.up' }, async ({ event, step }) => { // Step 1: Get user details const user = await step.run('get-user', async () => { return await db.users.findUnique({ where: { id: event.data.userId } }); });

// Step 2: Send welcome email
await step.run('send-email', async () => {
  await resend.emails.send({
    to: user.email,
    subject: 'Welcome!',
    template: 'welcome',
  });
});

// Step 3: Wait 24 hours, then send tips
await step.sleep('wait-for-tips', '24h');

await step.run('send-tips', async () => {
  await resend.emails.send({
    to: user.email,
    subject: 'Getting Started Tips',
    template: 'tips',
  });
});

} );

// app/api/inngest/route.ts (Next.js App Router) import { serve } from 'inngest/next'; import { inngest } from '@/lib/inngest/client'; import { sendWelcomeEmail } from '@/lib/inngest/functions';

export const { GET, POST, PUT } = serve({ client: inngest, functions: [sendWelcomeEmail], });

Multi-Step Workflow

Complex workflow with parallel steps and error handling

When to use: Processing that involves multiple services or long waits

export const processOrder = inngest.createFunction( { id: 'process-order', retries: 3, concurrency: { limit: 10 }, // Max 10 orders processing at once }, { event: 'order/placed' }, async ({ event, step }) => { const { orderId } = event.data;

// Parallel steps - both run simultaneously
const [inventory, payment] = await Promise.all([
  step.run('check-inventory', () => checkInventory(orderId)),
  step.run('validate-payment', () => validatePayment(orderId)),
]);

if (!inventory.available) {
  // Send event instead of direct call (fan-out pattern)
  await step.sendEvent('notify-backorder', {
    name: 'order/backordered',
    data: { orderId, items: inventory.missing },
  });
  return { status: 'backordered' };
}

// Process payment
const charge = await step.run('charge-payment', async () => {
  return await stripe.charges.create({
    amount: event.data.total,
    customer: payment.customerId,
  });
});

// Ship order
await step.run('ship-order', () => fulfillment.ship(orderId));

return { status: 'completed', chargeId: charge.id };

} );

Scheduled/Cron Functions

Functions that run on a schedule

When to use: Recurring tasks like daily reports or cleanup jobs

export const dailyDigest = inngest.createFunction( { id: 'daily-digest' }, { cron: '0 9 * * *' }, // Every day at 9am UTC async ({ step }) => { // Get all users who want digests const users = await step.run('get-users', async () => { return await db.users.findMany({ where: { digestEnabled: true }, }); });

// Send to each user (creates child events)
await step.sendEvent(
  'send-digests',
  users.map(user => ({
    name: 'digest/send',
    data: { userId: user.id },
  }))
);

return { sent: users.length };

} );

// Separate function handles individual digest sending export const sendDigest = inngest.createFunction( { id: 'send-digest', concurrency: { limit: 50 } }, { event: 'digest/send' }, async ({ event, step }) => { // ... send individual digest } );

Webhook Handler with Idempotency

Safely process webhooks with deduplication

When to use: Handling Stripe, GitHub, or other webhooks

export const handleStripeWebhook = inngest.createFunction( { id: 'stripe-webhook', // Deduplicate by Stripe event ID idempotency: 'event.data.stripeEventId', }, { event: 'stripe/webhook.received' }, async ({ event, step }) => { const { type, data } = event.data;

switch (type) {
  case 'checkout.session.completed':
    await step.run('fulfill-order', async () => {
      await fulfillOrder(data.session.id);
    });
    break;

  case 'customer.subscription.deleted':
    await step.run('cancel-subscription', async () => {
      await cancelSubscription(data.subscription.id);
    });
    break;
}

} );

AI Pipeline with Long Processing

Multi-step AI processing with chunked work

When to use: AI workflows that may take minutes to complete

export const processDocument = inngest.createFunction( { id: 'process-document', retries: 2, concurrency: { limit: 5 }, // Limit API usage }, { event: 'document/uploaded' }, async ({ event, step }) => { // Step 1: Extract text (may take a while) const text = await step.run('extract-text', async () => { return await extractTextFromPDF(event.data.fileUrl); });

// Step 2: Chunk for embedding
const chunks = await step.run('chunk-text', async () => {
  return chunkText(text, { maxTokens: 500 });
});

// Step 3: Generate embeddings (API rate limited)
const embeddings = await step.run('generate-embeddings', async () => {
  return await openai.embeddings.create({
    model: 'text-embedding-3-small',
    input: chunks,
  });
});

// Step 4: Store in vector DB
await step.run('store-vectors', async () => {
  await vectorDb.upsert({
    vectors: embeddings.data.map((e, i) => ({
      id: `${event.data.documentId}-${i}`,
      values: e.embedding,
      metadata: { chunk: chunks[i] },
    })),
  });
});

return { chunks: chunks.length, status: 'indexed' };

} );

Imported: Validation Checks

Inngest serve handler present

Severity: CRITICAL

Message: Inngest requires a serve handler to receive events

Fix action: Create app/api/inngest/route.ts with serve() export

Functions registered with serve

Severity: ERROR

Message: Ensure all Inngest functions are registered in the serve() call

Fix action: Add function to the functions array in serve()

Step.run has descriptive name

Severity: WARNING

Message: Step names should be kebab-case and descriptive

Fix action: Use descriptive step names like 'fetch-user' or 'send-email'

waitForEvent has timeout

Severity: ERROR

Message: waitForEvent should have a timeout to prevent infinite waits

Fix action: Add timeout option: { timeout: '24h' }

Function has concurrency limit

Severity: WARNING

Message: Consider adding concurrency limits to protect downstream services

Fix action: Add concurrency: { limit: 10 } to function config

Event types defined

Severity: WARNING

Message: Inngest client should define event schemas for type safety

Fix action: Add schemas: new EventSchemas().fromRecord<Events>()

Function has unique ID

Severity: CRITICAL

Message: Every Inngest function must have a unique ID

Fix action: Add id: 'my-function-name' to function config

Sleep uses duration string

Severity: WARNING

Message: step.sleep should use duration strings like '1h' or '30m', not milliseconds

Fix action: Use duration string: step.sleep('wait', '1h')

Retry policy configured

Severity: WARNING

Message: Consider configuring retry policy for failure handling

Fix action: Add retries: 3 or retries: { attempts: 3, backoff: { ... } }

Idempotency key for payment functions

Severity: ERROR

Message: Payment-related functions should use idempotency keys

Fix action: Add idempotency: 'event.data.orderId' to function config

Imported: Collaboration

Delegation Triggers

• redis|queue infrastructure|bullmq -> bullmq-specialist (Need Redis-based queue with existing infrastructure)
• saga|compensation|rollback|long-running workflow -> temporal-craftsman (Need complex workflow orchestration with compensation)
• event sourcing|event store|cqrs -> event-architect (Need event sourcing patterns)
• vercel|deploy|production -> vercel-deployment (Need deployment configuration)
• database|schema|data model -> supabase-backend (Need database for event data)
• api|endpoint|route -> backend (Need API to trigger events)

Vercel Background Jobs

Skills: inngest, nextjs-app-router, vercel-deployment

Workflow:

1. Define Inngest functions (inngest)
2. Set up serve handler in Next.js (nextjs-app-router)
3. Configure function timeouts (vercel-deployment)
4. Deploy and test (vercel-deployment)

AI Pipeline

Skills: inngest, ai-agents-architect, supabase-backend

Workflow:

1. Design AI workflow steps (ai-agents-architect)
2. Implement with Inngest durability (inngest)
3. Store results in database (supabase-backend)
4. Handle retries for API failures (inngest)

Webhook Processing

Skills: inngest, stripe-integration, backend

Workflow:

1. Receive webhook (backend)
2. Send to Inngest with idempotency (inngest)
3. Process payment logic (stripe-integration)
4. Update application state (backend)

Email Automation

Skills: inngest, email-systems, supabase-backend

Workflow:

1. Trigger event from user action (inngest)
2. Schedule drip emails with step.sleep (inngest)
3. Send emails with retry (email-systems)
4. Track email status (supabase-backend)

Scheduled Tasks

Skills: inngest, backend, analytics-architecture

Workflow:

1. Define cron triggers (inngest)
2. Implement processing logic (backend)
3. Aggregate and report data (analytics-architecture)
4. Handle failures with alerting (inngest)

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.