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upstash-workflow-js

Work with the @upstash/workflow TypeScript/JavaScript SDK for durable, long-running workflows in serverless functions, multi-step processes that survive timeouts, retries, and restarts (built on QStash). Use when defining a workflow endpoint with serve(), running steps with context.run, sleeping for minutes to days without holding a function open, calling external APIs with context.call, waiting for an external event or webhook, invoking other workflows, configuring retries, failure callbacks, and a DLQ, controlling concurrency, rate, and parallelism, triggering, cancelling, or inspecting runs with the Workflow client, building AI agents and orchestrators, human-in-the-loop approvals, realtime updates, local development with the QStash dev server, adding middleware, or migrating workflows safely. Also use when the user asks for durable execution, step functions, saga or orchestration patterns, background jobs with checkpoints, or long-running tasks on Vercel, Next.js, Cloudflare Workers, or other serverless platforms.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

upstash/skills
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설치 방법 보기

포함된 파일(16)

  • SKILL.md3.1 KB
  • agents.md6.7 KB
  • basics/client.md4.1 KB
  • basics/context.md5.1 KB
  • basics/serve.md2.4 KB
  • features/flow-control.md3.9 KB
  • features/invoke.md2.6 KB
  • features/retries-failures-reliability.md6.3 KB
  • features/wait-for-event.md2.8 KB
  • features/webhooks.md2.5 KB
  • how-to/local-dev.md5.0 KB
  • how-to/middleware.md4.7 KB
  • how-to/migrations.md4.8 KB
  • how-to/realtime.md4.8 KB
  • rest-api.md6.6 KB
  • troubleshooting.md4.8 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Upstash Workflow SDK

Quick Start

The Upstash Workflow SDK lets you expose serverless workflow endpoints and run them reliably using QStash under the hood.

Install:

npm install @upstash/workflow

Define a simple workflow endpoint:

import { serve } from "@upstash/workflow";

export const { POST } = serve(async (context) => {
  await context.run("step-1", () => console.log("step 1"));
  await context.run("step-2", () => console.log("step 2"));
});

Trigger it from your backend:

import { Client } from "@upstash/workflow";

const client = new Client({ token: process.env.QSTASH_TOKEN! });
await client.trigger({ url: "https://your-app.com/api/workflow" });

Other Skill Files

These files contain the full documentation. Use them for details, patterns, and advanced behavior.

  • basics:
    • basics/serve – How to expose workflow endpoints.
    • basics/context – Full API for workflow context (steps, waits, webhooks, events, invoke, etc.).
    • basics/client – Using the Workflow client to trigger, cancel, inspect, and notify runs.
  • features:
    • features/invoke – Cross‑workflow invocation.
    • features/reliability – Retries, failure callbacks, and DLQ.
    • features/flow-control – Rate limits, concurrency, and parallelism.
    • features/wait-for-event – Notify and wait-for-event patterns.
    • features/webhooks – Webhook creation and consumption.
  • how to:
    • how-to/local-dev – Local QStash dev server (auto via QSTASH_DEV=true) and tunneling.
    • how-to/realtime – Realtime and human‑in‑the‑loop workflows.
    • how-to/migrations – Migrating workflows safely.
    • how-to/middleware – Adding middleware to workflows.
  • other files:
    • rest-api – Low-level REST endpoints for interacting with QStash/Workflow.
    • troubleshooting – Common debugging and environment issues.
    • agents – Using Workflow with agents, orchestrators, and automation patterns.

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같은 저장소의 스킬

upstash

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Work with any Upstash product, SDK, or tool, including serverless Redis (caching, sessions, leaderboards, key-value storage), Ratelimit (rate limiting and throttling), QStash (message queue, cron schedules, background jobs), Workflow (durable long-running functions), Vector (vector database for embeddings, semantic search, and RAG), Search (full-text and semantic search), Box (sandboxed cloud containers for AI agents, TypeScript/JavaScript and Python), Blob (serverless S3-compatible file storage with direct browser uploads), the Upstash CLI, and no-signup scratch Redis for agents. Use when the user mentions Upstash or needs any of these capabilities in a serverless, edge, or Node.js app.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

upstash/skills312026년 10월 6일 업데이트

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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

upstash/skills312026년 10월 6일 업데이트

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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

upstash/skills312026년 10월 6일 업데이트

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Work with the @upstash/box TypeScript/JavaScript SDK for sandboxed cloud containers with AI agents, shell, filesystem, git, cron schedules, snapshots, and a headless browser. Use when building with Upstash Box, creating a sandbox or isolated environment to run untrusted or agent-generated code, running AI coding agents in containers, giving an agent a cloud dev environment with a shell and repository, browser automation from a box, scheduling recurring jobs inside a box, saving and restoring snapshots, or orchestrating parallel boxes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

upstash/skills312026년 10월 6일 업데이트

upstash-box-py

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Work with the upstash-box Python SDK for sandboxed cloud containers with AI agents, shell, filesystem, git, cron schedules, snapshots, and a headless browser. Use when building with Upstash Box in Python, creating a sandbox or isolated environment to run untrusted or agent-generated code, running AI coding agents in containers, giving an agent a cloud dev environment with a shell and repository, browser automation from a box, scheduling recurring jobs inside a box, saving and restoring snapshots, or orchestrating parallel boxes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

upstash/skills312026년 10월 6일 업데이트

upstash-box-remote-work

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Do work in an Upstash Box, a sandboxed cloud container driven through the remote Upstash MCP server (mcp.upstash.com), instead of on the local machine. Use when the user asks to run, build, test, clone, or edit something remotely, in a sandbox, in the cloud, or in a box, when the deliverable is a pull request, a public preview URL, or a screenshot of a running app, when the local machine cannot deliver (no GitHub login for gh, no way to expose a port, a dirty or slow local checkout), when several independent tasks should run in parallel on separate machines, a code factory that turns a list of tasks into a list of pull requests, or when the deliverable is a video, screen recording, demo or timelapse of a browser, web app, terminal program or agent run. Applies whenever the session has the box_* and blob_* MCP tools, even when Upstash is not named.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

upstash/skills312026년 10월 6일 업데이트

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