upstash-workflow

Design and orchestrate asynchronous Upstash Workflow pipelines with QStash.

Updated Mar 2, 2026
One-click install
npx skills add https://github.com/Staysr/lobe-windos-build --skill upstash-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: upstash-workflow
Source: https://github.com/Staysr/lobe-windos-build/tree/main/.agents/skills/upstash-workflow
Command: npx skills add https://github.com/Staysr/lobe-windos-build --skill upstash-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Upstash Workflow orchestration enables scalable asynchronous processing by integrating Upstash Workflow with QStash to coordinate fan-out patterns and a consistent 3-layer architecture (process → paginate → execute).

Core Features & Use Cases

  • Three-layer pattern: entry, pagination, and single-item execution for end-to-end workflows.
  • Dry-run support: estimate workload and outcomes without triggering real executions.
  • Fan-out pagination: process large batches in parallel by chunking and distributing work.
  • Single-item execution: guarantee that each workflow execution handles exactly one item.
  • Cloud-ready patterns: examples like welcome-placeholder and agent-welcome.

Quick Start

Start by implementing the 3-layer Upstash workflow (process → paginate → execute) and deploy the endpoints to trigger asynchronous item processing.

Frequently Asked Questions about upstash-workflow

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

FAQPage Schema
How do I build scalable async fan-out workflows with Upstash?

Scalable async fan-out workflows with Upstash are built using a three-layer architecture: Layer 1 validates entry, Layer 2 paginates and fans out chunks via QStash, and Layer 3 executes single items.

What is the best way to process large batches asynchronously without timeouts?

Processing large batches asynchronously without timeouts uses fan-out pagination to chunk work and distribute it in parallel. Each workflow execution handles exactly one single item, preventing long-running process failures.

How does pagination work in Upstash Workflow orchestration?

Pagination in Upstash Workflow orchestration operates at Layer 2 of the three-layer pattern. It chunks large batches into parallel distributed workloads, sending paginated items to Layer 3 for single-item execution.

Can I estimate workload outcomes before triggering a full Upstash Workflow execution?

Yes, you can estimate workload outcomes before triggering real executions using dry-run support. This allows you to preview the pagination and fan-out distribution without executing single-item processes.

Do I need QStash to handle fan-out pipelines in Upstash Workflow?

Yes, QStash is required to coordinate scalable fan-out pipelines in Upstash Workflow. It integrates with the three-layer architecture to manage the asynchronous pagination and distribution of tasks across endpoints.

Why should I use a single-item execution pattern for async workflows?

A single-item execution pattern guarantees that each workflow execution handles exactly one item. This isolates failures, prevents cascading timeouts, and maintains consistent flowControl across the fan-out pipeline.