What production best practices are included?

The skill emphasizes idempotency, robust error handling, retries, performance monitoring, and secure secret management using environment variables.

Does this skill support both no-code and custom code automation?

Yes, it provides optimized patterns for low-code platforms like n8n and Zapier, as well as full-code orchestration engines built with Python and TypeScript.

Does it support real-time data integration?

Yes, it provides standardized handlers for webhooks using FastAPI and background processing patterns using Celery and Redis.

Can I build multi-agent systems with this tool?

Absolutely. The skill includes specific architectural patterns for chaining multiple specialized agents together, such as researchers, writers, and reviewers.

AI Workflow Orchestrator

Name: AI Workflow Orchestrator
Author: Krosebrook

byKrosebrook

•

Productivity & Workflow

Orchestrates complex AI-powered workflows and multi-agent systems using n8n, Zapier, and custom integration patterns.

The AI Workflow Orchestrator is a specialized skill designed to bridge the gap between Large Language Models and practical business automation. It provides developers with enterprise-grade patterns for building, deploying, and monitoring AI workflows across popular low-code platforms like n8n and Zapier, as well as custom-coded orchestration engines in Python and TypeScript. By implementing best practices for idempotency, error handling, and task queuing, this skill enables the creation of robust multi-agent systems that can handle complex research, content generation, and data processing tasks at scale.

Key Features

01Zapier custom code templates for advanced AI integrations

02TypeScript multi-agent chain patterns for research and formatting

03Pre-built n8n workflow patterns for AI agents and vector stores

04Production-ready integration handlers for webhooks and task queues

05Custom Python-based workflow engine with conditional logic

061 GitHub stars

Use Cases

01Building automated AI-driven lead processing and customer support systems

02Creating multi-stage research agents that gather, summarize, and format data

03Orchestrating background data processing using FastAPI and Celery task queues

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add krosebrook/source-of-truth-monorepo ai-workflow-orchestrator

For use in Claude.ai and ChatGPT

Download Skill