Build robust, durable workflows with Inngest's step methods. Each step is a separate HTTP request that can be independently retried and monitored.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioninngest-stepsExecute the skills CLI command in your project's root directory to begin installation:
Fetches inngest-steps 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-steps. Access via /inngest-steps 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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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.
🔄 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"));
}
);
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:
❌ DON'T:
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));
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);
🚨 CRITICAL: waitForEvent ONLY catches events sent AFTER this step executes.
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:
❌ DON'T:
In expressions, event = the original triggering event, async = the new event being matched. See Expression Syntax Reference for full syntax, operators, and patterns.
Wait for unique signals (not events). Better for 1:1 matching.
const taskId = "task-" 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
Solid pick for teams standardizing on skills: inngest-steps is focused, and the summary matches what you get after install.
Useful defaults in inngest-steps — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
inngest-steps is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
inngest-steps fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
inngest-steps has been reliable in day-to-day use. Documentation quality is above average for community skills.
inngest-steps fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
inngest-steps is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend inngest-steps for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: inngest-steps is focused, and the summary matches what you get after install.
We added inngest-steps from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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