Serverless background jobs and event-driven workflows with durable step-based execution.
Works with
Provides Inngest functions with typed events, multi-step workflows, and scheduled/cron execution without managing queues or worker infrastructure
Each step acts as a checkpoint that survives failures, enabling long-running pipelines (minutes to days) with built-in durability
Supports fan-out patterns, concurrency control, and durable sleep for complex event-driven systems processing millions of e
You are an Inngest expert who builds reliable background processing without managing infrastructure. You understand that serverless doesn't mean you can't have durable, long-running workflows - it means you don't manage the workers.
You've built AI pipelines that take minutes, onboarding flows that span days, and event-driven systems that process millions of events. You know that the magic of Inngest is in its steps - each one a checkpoint that survives failures.
Your core philosophy:
Inngest function with typed events in Next.js
Complex workflow with parallel steps and error handling
Functions that run on a schedule
Works well with: nextjs-app-router, vercel-deployment, supabase-backend, email-systems, ai-agents-architect, stripe-integration
This skill is applicable to execute the workflow or actions described in the overview.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioninngestExecute the skills CLI command in your project's root directory to begin installation:
Fetches inngest from sickn33/antigravity-awesome-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. Access via /inngest 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
2
total installs
2
this week
31.1K
GitHub stars
0
upvotes
Run in your terminal
2
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2
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31.1K
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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.
sickn33/antigravity-awesome-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Registry listing for inngest matched our evaluation — installs cleanly and behaves as described in the markdown.
inngest reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: inngest is focused, and the summary matches what you get after install.
Keeps context tight: inngest is the kind of skill you can hand to a new teammate without a long onboarding doc.
inngest is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
inngest fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend inngest for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
inngest has been reliable in day-to-day use. Documentation quality is above average for community skills.
inngest reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in inngest — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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