inngest-durable-functions

Build durable Inngest workflows with memoized steps, retries, and observability.

1|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/supersterling/primus --skill inngest-durable-functions-supersterling
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inngest-durable-functions
Source: https://github.com/supersterling/primus/tree/main/.agents/skills/inngest-durable-functions
Command: npx skills add https://github.com/supersterling/primus --skill inngest-durable-functions-supersterling

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Durable function patterns enable building fault-tolerant, long-running workflows using Inngest with deterministic steps, memoization, retries, and observability.

Core Features & Use Cases

  • Triggers: event, cron, and invoke hooks to start durable workflows.
  • Step execution and memoization: ensure idempotent progress across retries with state persistence.
  • Error handling, cancellation, and retries: robust failure strategies with configurable policies.
  • Logging and observability: structured logging and tracing for end-to-end visibility.

Quick Start

Set up an Inngest durable function that triggers on events, uses memoized steps, supports idempotency, cancellation, and robust observability.

Frequently Asked Questions about inngest-durable-functions

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build fault-tolerant workflows that recover from failures automatically?

Fault-tolerant workflows use durable functions with memoized steps, configurable retries, and cancellation policies to ensure deterministic progress and automatic recovery from intermittent failures during execution.

What are durable functions and when do I need them for event-driven processes?

Durable functions are a pattern for long-running automations that persist state through memoization and idempotency, ensuring progress is never lost and duplicate executions are prevented during retries.

How do I ensure idempotency in data pipelines with memoized step execution?

Idempotency in data pipelines is achieved through memoized step execution, which persists state across retries and prevents duplicate side effects by caching completed steps within the durable workflow.

Can I trigger durable workflows using cron schedules and event hooks?

Durable workflows support multiple trigger types including cron schedules, event-driven hooks, and manual invoke hooks to start long-running automations and event-driven data pipelines.

What is the best way to add observability and structured logging to long-running automations?

Observability for long-running automations is implemented through structured logging and tracing, providing end-to-end visibility into step execution, memoization, and error handling within the workflow.

Why do my long-running workflows lose progress when they fail, and how do I prevent it?

Workflows lose progress without state persistence, but durable functions use memoization to save progress after each step, allowing failed workflows to resume from the last successful checkpoint instead of restarting.