fuuz-flows-v1

Develop and debug Fuuz data flows with JSONata, JavaScript, and GraphQL.

3|Updated Feb 22, 2026

Search Tags:#automation #data flow #javascript #jsonata #oee #fuuz #industrial iot

Ready to run

npx skills add https://github.com/Fuuz-Industrial-Intelligence/fuuz-skills --skill fuuz-flows-v1

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fuuz-flows-v1
Source: https://github.com/Fuuz-Industrial-Intelligence/fuuz-skills/tree/main/fuuz%20flows
Command: npx skills add https://github.com/Fuuz-Industrial-Intelligence/fuuz-skills --skill fuuz-flows-v1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill empowers users to build, understand, and troubleshoot complex data flows for the Fuuz Industrial Operations platform, automating critical manufacturing processes.

Core Features & Use Cases

Flow Design & Debugging: Provides comprehensive guidance on node types, patterns, and best practices for creating robust data flows.
Industrial Automation: Essential for implementing OEE calculations, telemetry aggregation, and event-driven process automation.
Use Case: A user needs to create a data flow that calculates hourly OEE metrics. They can use this Skill to understand the correct sequence of nodes, necessary JSONata/JavaScript transforms, and how to handle timezones and data aggregation.

Quick Start

Use the fuuz-flows-v1 skill to build a scheduled flow that aggregates hourly telemetry data.

Frequently Asked Questions about fuuz-flows-v1

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

FAQPage Schema

How do I build data flows for industrial automation and OEE calculations?▼

Build industrial automation data flows by sequencing node types to handle event-driven tasks and telemetry aggregation. Use JavaScript and JSONata for complex transformations, and apply ISO 22400 standards to structure accurate OEE calculations.

How does JSONata work with Fuuz data flows for transforming telemetry data?▼

JSONata transforms telemetry data within Fuuz data flows by mapping and querying JSON structures during event-driven automation. It enables complex data manipulation and aggregation before passing values to downstream industrial nodes.

What is the best way to schedule tasks and handle timezones in industrial IoT flows?▼

Schedule tasks and handle timezones in industrial IoT flows by configuring scheduled nodes for hourly telemetry aggregation. Apply context management to maintain state and ensure accurate timezone conversions during OEE metric calculations.

Does the Fuuz Industrial Operations platform support GraphQL for API integrations?▼

The Fuuz platform supports GraphQL for API integrations to interact with industrial data structures. It allows data flows to query and mutate manufacturing context, pulling required telemetry for scheduled automation tasks.

Why is my scheduled data flow failing to aggregate OEE metrics correctly?▼

Scheduled data flows fail to aggregate OEE metrics when context management or timezone conversions are mishandled. Debug by verifying JSONata transformations and ensuring node concurrency patterns do not drop telemetry events.

Do I need JavaScript to create event-driven automation in industrial IoT platforms?▼

JavaScript is required for complex transformations in event-driven industrial IoT automation. While JSONata handles data mapping, JavaScript executes custom logic and ISO 22400 OEE calculations within Fuuz data flow nodes.