lg-logic-builder

Design Flutter controller business logic with Provider/Riverpod and SSH KML pipelines.

1|1|Updated Feb 18, 2026

Search Tags:#architecture #state management #controller #flutter #ssh #kml #liquid galaxy

Ready to run

npx skills add https://github.com/AshishYesale7/LGFlutterStarterKit --skill lg-logic-builder

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: lg-logic-builder
Source: https://github.com/AshishYesale7/LGFlutterStarterKit/tree/main/.agent/skills/lg-logic-builder
Command: npx skills add https://github.com/AshishYesale7/LGFlutterStarterKit --skill lg-logic-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill establishes the foundational business logic for Liquid Galaxy Flutter controller applications, ensuring a clean separation of concerns and adherence to the Controller-to-Rig architecture.

Core Features & Use Cases

State Management: Implements Provider or Riverpod for managing application state.
Controller-to-Rig Architecture: Enforces a clear data flow from the Flutter app to the LG master and Google Earth.
SSH Communication: Manages secure connections and data transfer (KML, commands) to the LG rig.
Data Pipeline Design: Outlines the flow from user input to API fetching, data modeling, KML generation, and display.
Use Case: Designing the state management and data fetching logic for a Flutter app that visualizes real-time earthquake data on the Liquid Galaxy, including generating KML placemarks and sending them via SSH.

Quick Start

Use the lg-logic-builder skill to design the state management and data pipeline for visualizing earthquake data.

Frequently Asked Questions about lg-logic-builder

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

FAQPage Schema

How do I manage state in a Flutter app controlling a Liquid Galaxy rig?▼

State management for Liquid Galaxy Flutter controllers is handled using Provider or Riverpod to maintain app state, ensuring clean separation of concerns within the Controller-to-Rig architecture. This approach governs the connection lifecycle and app navigation flow.

What is the best way to send KML data to a Liquid Galaxy rig via SSH from Flutter?▼

The best way to send KML data via SSH from Flutter is to implement a structured data pipeline that fetches API data, generates KML placemarks, and transfers them securely to the LG master. This enforces the Controller-to-Rig data flow pattern.

Does the Controller-to-Rig architecture pattern support real-time data visualization on Liquid Galaxy?▼

Yes, the Controller-to-Rig architecture supports real-time data visualization by streaming user inputs through a data pipeline that models API data, generates KML elements, and pushes them to Google Earth via SSH. This pattern manages the entire connection lifecycle.

How do I structure a Flutter data pipeline for earthquake data on Liquid Galaxy?▼

To structure a Flutter data pipeline for earthquake data, fetch the external API data, map it to application models, generate KML placemarks, and use SSH communication to send the KML to the LG rig. State machines manage the app flow during this process.

Can I use Riverpod for connection lifecycle management in a Liquid Galaxy Flutter controller?▼

Yes, Riverpod can be used for connection lifecycle management in a Liquid Galaxy Flutter controller. It handles state transitions and state machine implementation, ensuring secure SSH connections and data transfer to the LG master are maintained reliably.