react-flow

Converts React Flow editor state into backend graph_definition JSON for workflow execution.

Updated Oct 29, 2025
One-click install
npx skills add https://github.com/laitim2001/ai-semantic-kernel-framework-project --skill react-flow-laitim2001
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: react-flow
Source: https://github.com/laitim2001/ai-semantic-kernel-framework-project/tree/main/.claude/skills/react-flow
Command: npx skills add https://github.com/laitim2001/ai-semantic-kernel-framework-project --skill react-flow-laitim2001

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provides a production-ready guide to implement a visual workflow editor that reliably converts user-edited graphs into a backend-compatible workflow definition, removing ambiguity and common frontend pitfalls when building drag-and-drop workflow UIs.

Core Features & Use Cases

  • Visual editor patterns and rules for consistent node and edge implementations that map directly to backend workflow models.
  • Hooks, state management patterns, and conversion functions to turn React Flow state into graph_definition JSON accepted by the MAF backend.
  • Custom node and edge examples, connection validation rules, auto-layout recommendations, and performance best practices for large enterprise workflows.
  • Use case: frontend teams building a workflow editor that lets product owners compose agent sequences, conditional gateways, and parallel branches and then save/execute them via the platform API.

Quick Start

Open the workflow editor, drag Start/Agent/Gateway nodes, connect them into a valid flow, and save to export the graph_definition JSON required by the backend.

Frequently Asked Questions about react-flow

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

FAQPage Schema
How do I convert React Flow editor state into a backend graph definition JSON?

To convert React Flow state into backend workflow JSON, use dedicated conversion functions that map node and edge schemas to the backend contract. This enforces required fields like id, type, agent_id, config, and position for valid API submission.

What is the best way to validate connections in a visual workflow editor?

The best way to validate connections in a visual workflow editor is to enforce frontend-to-backend contract rules. Apply connection validation logic to edge fields like source, target, condition, and label to ensure the graph matches backend expectations before submission.

How do I map agent nodes and gateways to a workflow definition for API execution?

Mapping agent nodes and gateways to a workflow definition requires transforming custom editor components into structured JSON. Define required node fields including id, type, name, agent_id, config, and position to represent conditional gateways and parallel branches for API execution.

Does this approach support auto-layout and performance best practices for large enterprise workflows?

Yes, this approach supports auto-layout recommendations and performance best practices for large enterprise workflows. It provides custom node and edge examples alongside state management patterns designed to handle complex agent sequences and concurrent branches efficiently.

Can I use Zustand for state management when building a drag-and-drop workflow UI?

Yes, you can use Zustand for state management when building a drag-and-drop workflow UI. Zustand integrates with React Flow to handle editor state, enabling reliable conversion of visual graph components into backend-compatible workflow definitions.