add-workflow

Integrate event-triggered pipelines into Next.js applications for multi-step tasks.

34|6|Updated Jun 30, 2026

Search Tags:#automation #workflow #serverless #pipeline #nextjs #agentic

Ready to run

npx skills add https://github.com/flavien-ia/hypervibe-harness --skill add-workflow-flavien-ia

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: add-workflow
Source: https://github.com/flavien-ia/hypervibe-harness/tree/main/skills/add-workflow
Command: npx skills add https://github.com/flavien-ia/hypervibe-harness --skill add-workflow-flavien-ia

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @anthropic-ai/sdk.

What problem does it solve?

This skill solves the complexity of building automated, multi-step processes that require intelligence without the overhead of managing dedicated servers, agents, or complex infrastructure.

Core Features & Use Cases

Intelligent Pipelines: Chain together code-based tasks and AI-driven steps like classification, extraction, or summarization.
Event-Triggered Execution: Automatically run sequences based on user actions, webhooks, or scheduled tasks.
Use Case: When a client uploads a document, the workflow automatically fetches it, uses Claude to extract key facts, and notifies the appropriate team member, all within your existing Next.js application.

Quick Start

Use the add-workflow skill to create a pipeline that processes incoming customer support emails by classifying them and drafting a response.

Frequently Asked Questions about add-workflow

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

FAQPage Schema

How do I build event-driven workflows in a Next.js serverless application?▼

Event-driven workflows in Next.js execute finite pipelines triggered by user actions, webhooks, or cron schedules. They chain code-based tasks with AI-driven analysis while respecting serverless execution limits.

Can I automate document processing and AI extraction without managing dedicated servers?▼

Automating document processing without servers uses serverless pipelines to fetch uploads and apply AI-driven extraction. This eliminates dedicated infrastructure overhead while maintaining multi-step task execution.

Do I need an Anthropic API key to run AI-driven pipelines?▼

An Anthropic API key is required to run AI-driven pipelines. The workflow integrates the Anthropic SDK to execute intelligent tasks like classification, extraction, and summarization.

What are the limitations of running scheduled cron workflows in serverless environments?▼

Serverless cron workflows face execution time limits inherent to serverless environments. They require database-backed run logging to maintain idempotency and track errors across finite pipeline steps.

How do I ensure idempotency and error tracking for automated serverless pipelines?▼

Idempotency and error tracking for serverless pipelines require database-backed run logging. This records pipeline executions to prevent duplicate task processing and monitor failures across triggered events.