workflow

Implements durable, multi-step workflows with pause/resume and retry for Vercel.

Updated May 16, 2026
One-click install
npx skills add https://github.com/MohammedHTahir/vibe-coding-platform --skill workflow-mohammedhtahir
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: workflow
Source: https://github.com/MohammedHTahir/vibe-coding-platform/tree/main/.kiro/vercel-plugin/skills/workflow
Command: npx skills add https://github.com/MohammedHTahir/vibe-coding-platform --skill workflow-mohammedhtahir

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Vercel Workflow DevKit helps you reliably orchestrate long-running, multi-step AI and API tasks that must pause/resume, survive failures, and retry safely without getting stuck.

Core Features & Use Cases

  • Durable, step-based execution: Split logic into retryable steps to reduce sandbox/runtime failures and improve observability.
  • Pause/resume with hooks & events: Implement human-in-the-loop approvals, chat persistence, and webhook-driven continuation.
  • Reliable orchestration for agents and pipelines: Coordinate DurableAgent-based workflows, sequential pipelines, and cross-service triggers with resilient state.
  • Operational safety rails: Provide guidance for correct APIs/directives (use workflow/use step), streaming patterns, and debugging stalled runs.

Quick Start

When you need a durable, long-running, multi-step process that can retry and resume after a crash, ask your AI agent to implement it as a Workflow using the "use workflow" directive for orchestration and "use step" for retryable logic.

Frequently Asked Questions about workflow

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

FAQPage Schema
How do I build durable orchestration for long-running AI pipelines that survive crashes?

Durable orchestration splits logic into retryable steps using "use workflow" and "use step" directives, ensuring long-running AI pipelines pause, resume, and survive crashes safely. This prevents multi-step processes from getting stuck after runtime failures.

How do I implement human-in-the-loop approvals in a Vercel workflow?

Human-in-the-loop approvals in a Vercel workflow use hooks and webhooks to pause execution and trigger continuation upon external events. This allows durable workflows to safely halt until manual validation or chat persistence completes before resuming.

What is the best way to retry failed API steps in a durable agent workflow?

The best way to retry failed API steps in a durable agent workflow is step-based execution. By isolating logic into discrete steps using the "use step" directive, operations become independently retryable, reducing sandbox runtime failures and improving observability.

Can I use Vercel for durable multi-step processes with webhook-driven continuation?

Yes, Vercel supports durable multi-step processes with webhook-driven continuation. Correct Vercel Workflow DevKit usage manages workflow/api start and run handling, allowing external events to seamlessly trigger pause and resume logic across cross-service pipelines.

Why does my long-running orchestration stall in a serverless environment?

Long-running orchestration stalls in serverless environments due to sandbox limitations on fetch, timing, and logging. Applying sandbox-safe patterns with correct directives and streaming ensures crash-safe pipelines avoid timeouts and resume reliably after failures.

When should I use durable workflows instead of standard API pipelines?

Use durable workflows instead of standard API pipelines when tasks require pause/resume capabilities, human-in-the-loop approvals, or sequential retries. Durable orchestration provides resilient state management that prevents multi-step agent runs from failing silently.