inngest-steps

inngest/inngest-skills · updated Apr 8, 2026

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

Build robust, durable workflows with Inngest's step methods. Each step is a separate HTTP request that can be independently retried and monitored.

skill.md

Inngest Steps

Build robust, durable workflows with Inngest's step methods. Each step is a separate HTTP request that can be independently retried and monitored.

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.

Core Concept

🔄 Critical: Each step re-runs your function from the beginning. Put ALL non-deterministic code (API calls, DB queries, randomness) inside steps, never outside.

📊 Step Limits: Every function has a maximum of 1,000 steps and 4MB total step data.

// ❌ WRONG - will run 4 times
export default inngest.createFunction(
  { id: "bad-example", triggers: [{ event: "test" }] },
  async ({ step }) => {
    console.log("This logs 4 times!"); // Outside step = bad
    await step.run("a", () => console.log("a"));
    await step.run("b", () => console.log("b"));
    await step.run("c", () => console.log("c"));
  }
);

// ✅ CORRECT - logs once each
export default inngest.createFunction(
  { id: "good-example", triggers: [{ event: "test" }] },
  async ({ step }) => {
    await step.run("log-hello", () => console.log("hello"));
    await step.run("a", () => console.log("a"));
    await step.run("b", () => console.log("b"));
    await step.run("c", () => console.log("c"));
  }
);

step.run()

Execute retriable code as a step. Each step ID can be reused - Inngest automatically handles counters.

// Basic usage
const result = await step.run("fetch-user", async () => {
  const user = await db.user.findById(userId);
  return user; // Always return useful data
});

// Synchronous code works too
const transformed = await step.run("transform-data", () => {
  return processData(result);
});

// Side effects (no return needed)
await step.run("send-notification", async () => {
  await sendEmail(user.email, "Welcome!");
});

✅ DO:

  • Put ALL non-deterministic logic inside steps
  • Return useful data for subsequent steps
  • Reuse step IDs in loops (counters handled automatically)

❌ DON'T:

  • Put deterministic logic in steps unnecessarily
  • Forget that each step = separate HTTP request

step.sleep()

Pause execution without using compute time.

// Duration strings
await step.sleep("wait-24h", "24h");
await step.sleep("short-delay", "30s");
await step.sleep("weekly-pause", "7d");

// Use in workflows
await step.run("send-welcome", () => sendEmail(email));
await step.sleep("wait-for-engagement", "3d");
await step.run("send-followup", () => sendFollowupEmail(email));

step.sleepUntil()

Sleep until a specific datetime.

const reminderDate = new Date("2024-12-25T09:00:00Z");
await step.sleepUntil("wait-for-christmas", reminderDate);

// From event data
const scheduledTime = new Date(event.data.remind_at);
await step.sleepUntil("wait-for-scheduled-time", scheduledTime);

step.waitForEvent()

🚨 CRITICAL: waitForEvent ONLY catches events sent AFTER this step executes.

  • ❌ Event sent before waitForEvent runs → will NOT be caught
  • ✅ Event sent after waitForEvent runs → will be caught
  • Always check for null return (means timeout, event never arrived)
// Basic event waiting with timeout
const approval = await step.waitForEvent("wait-for-approval", {
  event: "app/invoice.approved",
  timeout: "7d",
  match: "data.invoiceId" // Simple matching
});

// Expression-based matching (CEL syntax)
const subscription = await step.waitForEvent("wait-for-subscription", {
  event: "app/subscription.created",
  timeout: "30d",
  if: "event.data.userId == async.data.userId && async.data.plan == 'pro'"
});

// Handle timeout
if (!approval) {
  await step.run("handle-timeout", () => {
    // Approval never came
    return notifyAccountingTeam();
  });
}

✅ DO:

  • Use unique IDs for matching (userId, sessionId, requestId)
  • Always set reasonable timeouts
  • Handle null return (timeout case)
  • Use with Realtime for human-in-the-loop flows

❌ DON'T:

  • Expect events sent before this step to be handled
  • Use without timeouts in production

Expression Syntax

In expressions, event = the original triggering event, async = the new event being matched. See Expression Syntax Reference for full syntax, operators, and patterns.

step.waitForSignal()

Wait for unique signals (not events). Better for 1:1 matching.

const taskId = "task-" 
how to use inngest-steps

How to use inngest-steps on Cursor

AI-first code editor with Composer

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-steps
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-steps

The skills CLI fetches inngest-steps 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-steps

Reload or restart Cursor to activate inngest-steps. Access the skill through slash commands (e.g., /inngest-steps) 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.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

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

4.674 reviews
  • Evelyn Rao· Dec 24, 2024

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

  • Yusuf Harris· Dec 8, 2024

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

  • Dev Ramirez· Dec 8, 2024

    inngest-steps is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Chinedu Johnson· Dec 4, 2024

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

  • Luis Farah· Nov 27, 2024

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

  • Nia Khanna· Nov 27, 2024

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

  • Ira Gupta· Nov 23, 2024

    inngest-steps is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Chinedu Khanna· Nov 15, 2024

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

  • James Ndlovu· Oct 18, 2024

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

  • Li Srinivasan· Oct 18, 2024

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

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