Use when adding new error messages to React, or seeing "unknown error code" warnings.
npx skills add get-theo-ai/agent-skills --skill "theo-inngest"
Install specific skill from multi-skill repository
# Description
Inngest is a serverless event-driven workflow orchestration platform. It lets you build durable, stateful background jobs and workflows without managing infrastructure. Use this skill when working with Inngest functions, events, schemas, testing, or anything else Inngest-related.
# SKILL.md
name: theo-inngest
description: Inngest is a serverless event-driven workflow orchestration platform. It lets you build durable, stateful background jobs and workflows without managing infrastructure. Use this skill when working with Inngest functions, events, schemas, testing, or anything else Inngest-related.
metadata:
author: vercel
version: "1.0.0"
Theo Ai's Inngest Guidelines and Best Practices
Comprehensive best practices and guidelines for creating, refactoring,
and maintaining Inngest code - maintained by Theo Ai.
When to use
Use this skill when working with Inngest functions and anything
Inngest related. This includes, but is not limited to:
- Creating new Inngest functions
- Editing existing Inngest functions
- Managing/editing or creating Inngest events
- Optimizing Inngest code
- Using Inngest built-in tools
- Troubleshooting Inngest-specific issues
Core Inngest concepts:
- Event-driven functions - trigger on events, schedules, or webhooks
- Durable execution - automatic retries, state preservation across
failures
- Flow control - concurrency limits, rate limiting, debouncing,
prioritization
- Observability - built-in logging, metrics, and tracing
Why use it: You write business logic as "step functions" and Inngest
handles reliability, retries, and orchestration. Great for
long-running processes, AI workflows, and background jobs that need to
survive failures.
Instructions
On how to use step
- In Inngest functions, each step is executed as a separate HTTP
request. To ensure efficient and correct execution, place any
non-deterministic logic (such as DB calls, API calls, random number
generators, etc) within astep.run()call. - Think of each call to
stepas a separete, self-fulfilling,
serverless-like function. - Do not nest calls to
step. Thestepobject must never be nested. - Do not send
stepas argument to function calls. Keep the use of
stepconstrained within the Inngest function. - Returns from calls to
stepare serialized and deserialized by
Inngest's infrastructure. This means that complex objects and
functions cannot be returned by a call tostep. - Be cognizant of the fact that each call to step is a separate HTTP
request and that this adds infrastructure and execution time
overheads. With that said, prefer to create algorithms that smartly
and efficiently combine functionality within single steps. In other
words, try to avoid micro steps. On the other hand, be sensitive to
steps that might block execution for too long and become operational
bottlenecks. Find a balance.
On serialization caveats
- Serialized returns are also limited to 4MB so, do make sure that
returns are within those limits.
On useful patterns
- Come up with algorithms that levarage Inngest's primitives as much
as possible. I.e.step.fetch()is better than calls tofetch
directly; a busy-wait loop can probably leverage
step.waitForEvent(),step.sleept(),step.sleepUntil(),
step.delay(), etc depending on the scenario - When breaking down functionality, prefer
step.run()over
step.invoke()when possible, as the former allows fanout
operations to be aggregated and visualized under the same function
call in the Inngest WebUI, improving traceability. However, consider
step.invoke()when you specifically need independent concurrency
control, as inlinestep.run()calls cannot have their own
concurrency limits separate from the parent function. - In situations where multiple steps can run in parallel, utilize a
Promise.allresolution.
On events schemas
- Make sure to always type the events and returns using the
Zod
infrastructure in place.
On Error-handling and debugging
- Be attentive of when to use
NonRetriableError - When utilizing and event/response pattern, make sure to return
events in case of failure and treat them at the waiting side
accordingly. - When logging, use Inngest's
loggerand notconsole.log
On anything else
- Refer to Inngest's documentation (feel free to search the web
extensivelly and/or fetch from https://www.inngest.com/docs ) for
anything else you need
Anti-patterns to avoid
- Not using Steps
- Not typing events
- Nested steps
- Huge event payloads (must be 4MB or less)
- Ignoring concurrency
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.