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.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioninngest-flow-controlExecute the skills CLI command in your project's root directory to begin installation:
Fetches inngest-flow-control 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-flow-control. Access via /inngest-flow-control 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.
Submit your Claude Code skill and start earning
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
0
total installs
0
this week
17
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
17
stars
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.
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.
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));
}
);
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
}
);
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:
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 periodperiod: Time window (1s to 7d)burst: Extra immediate starts allowedkey: Apply limits per unique key valueWhen 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:
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:
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/tiMake 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
I recommend inngest-flow-control for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: inngest-flow-control is focused, and the summary matches what you get after install.
Registry listing for inngest-flow-control matched our evaluation — installs cleanly and behaves as described in the markdown.
inngest-flow-control fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in inngest-flow-control — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: inngest-flow-control is focused, and the summary matches what you get after install.
Useful defaults in inngest-flow-control — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend inngest-flow-control for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added inngest-flow-control from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
inngest-flow-control is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
showing 1-10 of 40