inngest-flow-control

inngest/inngest-skills · updated Apr 8, 2026

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

Master Inngest flow control mechanisms to manage resources, prevent overloading systems, and ensure application reliability. This skill covers all flow control options with prescriptive guidance on when and how to use each.

skill.md

Inngest Flow Control

Master Inngest flow control mechanisms to manage resources, prevent overloading systems, and ensure application reliability. This skill covers all flow control options with prescriptive guidance on when and how to use each.

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.

Quick Decision Guide

  • "Limit how many run at once" → Concurrency
  • "Spread runs over time" → Throttling
  • "Block after N runs in a period" → Rate Limiting
  • "Wait for activity to stop, then run once" → Debounce
  • "Only one run at a time for this key" → Singleton
  • "Process events in groups" → Batching
  • "Some runs are more important" → Priority

Concurrency

When to use: Limit the number of executing steps (not function runs) to manage computing resources and prevent system overwhelm.

Key insight: Concurrency limits active code execution, not function runs. A function waiting on step.sleep() or step.waitForEvent() doesn't count against the limit.

Basic Concurrency

inngest.createFunction(
  {
    id: "process-images",
    concurrency: 5,
    triggers: [{ event: "media/image.uploaded" }]
  },
  async ({ event, step }) => {
    // Only 5 steps can execute simultaneously
    await step.run("resize", () => resizeImage(event.data.imageUrl));
  }
);

Concurrency with Keys (Multi-tenant)

Use key parameter to apply limit per unique value of the key.

inngest.createFunction(
  {
    id: "user-sync",
    concurrency: [
      {
        key: "event.data.user_id",
        limit: 1
      }
    ],
    triggers: [{ event: "user/profile.updated" }]
  },
  async ({ event, step }) => {
    // Only 1 step per user can execute at once
    // Prevents race conditions in user-specific operations
  }
);

Account-level Shared Limits

inngest.createFunction(
  {
    id: "ai-summary",
    concurrency: [
      {
        scope: "account",
        key: `"openai"`,
        limit: 60
      }
    ],
    triggers: [{ event: "ai/summary.requested" }]
  },
  async ({ event, step }) => {
    // Share 60 concurrent OpenAI calls across all functions
  }
);

When to use each:

  • Basic: Protect databases or limit general capacity
  • Keyed: Multi-tenant fairness, prevent "noisy neighbor" issues
  • Account-level: Share quotas across multiple functions (API limits)

Throttling

When to use: Control the rate of function starts over time to work around API rate limits or smooth traffic spikes.

Key difference from concurrency: Throttling limits function run starts; concurrency limits step execution.

inngest.createFunction(
  {
    id: "sync-crm-data",
    throttle: {
      limit: 10, // 10 function starts
      period: "60s", // per minute
      burst: 5, // plus 5 immediate bursts
      key: "event.data.customer_id" // per customer
    },
    triggers: [{ event: "crm/contact.updated" }]
  },
  async ({ event, step }) => {
    // Respects CRM API rate limits: 10 calls/min per customer
    await step.run("sync", () => crmApi.updateContact(event.data));
  }
);

Configuration:

  • limit: Functions that can start per period
  • period: Time window (1s to 7d)
  • burst: Extra immediate starts allowed
  • key: Apply limits per unique key value

Rate Limiting

When to use: Hard limit to prevent abuse or skip excessive duplicate events.

Key difference from throttling: Rate limiting discards events; throttling delays them.

inngest.createFunction(
  {
    id: "webhook-processor",
    rateLimit: {
      limit: 1,
      period: "4h",
      key: "event.data.webhook_id"
    },
    triggers: [{ event: "webhook/data.received" }]
  },
  async ({ event, step }) => {
    // Process each webhook only once per 4 hours
    // Prevents duplicate webhook spam
  }
);

Use cases:

  • Prevent webhook duplicates
  • Limit expensive operations per user
  • Protection against abuse

Debounce

When to use: Wait for a series of events to stop arriving before processing the latest one.

inngest.createFunction(
  {
    id: "save-document",
    debounce: {
      period: "5m", // Wait 5min after last edit
      key: "event.data.document_id",
      timeout: "30m" // Force save after 30min max
    },
    triggers: [{ event: "document/content.changed" }]
  },
  async ({ event, step }) => {
    // Saves document only after user stops editing
    // Uses the LAST event received
    await step.run("save", () => saveDocument(event.data));
  }
);

Perfect for:

  • User input that changes rapidly (search, document editing)
  • Noisy webhook events
  • Ensuring latest data is processed

Priority

When to use: Execute some function runs ahead of others based on dynamic data.

inngest.createFunction(
  {
    id: "process-order",
    priority: {
      // VIP users get priority up to 120 seconds ahead
      run: "event.data.user_tier == 'vip' ? 120 : 0"
    },
    triggers: [{ event: "order/placed" }]
  },
  async ({ event, step }) => {
    // VIP orders jump ahead in the queue
  }
);

Advanced example:

inngest.createFunction(
  {
    id: "support-ticket",
    priority: {
      run: `
        event.data.severity == 'critical' ? 300 :
        event.data.severity == 'high' ? 120 :
        event.data.user_plan == 'enterprise' ? 60 : 0
      `
    },
    triggers: [{ event: "support/ti
how to use inngest-flow-control

How to use inngest-flow-control 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-flow-control
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-flow-control

The skills CLI fetches inngest-flow-control 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-flow-control

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

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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)
  • No comments yet — start the thread.
general reviews

Ratings

4.540 reviews
  • Ganesh Mohane· Dec 28, 2024

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

  • Diya Perez· Dec 20, 2024

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

  • Nia Shah· Dec 20, 2024

    Registry listing for inngest-flow-control matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Ira Bhatia· Dec 20, 2024

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

  • Fatima Ramirez· Dec 16, 2024

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

  • Sakshi Patil· Nov 19, 2024

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

  • Yash Thakker· Nov 11, 2024

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

  • Tariq White· Nov 11, 2024

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

  • Nia Wang· Nov 11, 2024

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

  • Chaitanya Patil· Oct 10, 2024

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

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