DarrylBD99/DarrylBD99-Creature-Capture-System

AI Summary: Implement a system allowing users to create and define custom enemy AI behaviors, specifically targeting the needs of unique battles like boss fights within the DarrylBD99 Creature Capture System Godot plugin. This will likely involve creating a custom scripting interface or extending existing functionality to allow for complex AI behaviors beyond the standard implementation.

AI Summary: Develop a creature index system for DarrylBD99's Creature Capture System Godot plugin. This system should track all unique creature species captured by the player within the Lumas: Isle of Eternity demo project. The index should likely be accessible through a UI element within the game.

AI Summary: Implement Godot editor functionality allowing users to create custom attack effects and items for the DarrylBD99 Creature Capture System plugin. This involves moving away from subclassing and enabling users to define custom effects and items directly within the Godot editor.

AI Summary: Implement a status effect system for the DarrylBD99 Creature Capture System Godot plugin, including effects like sleep, paralysis, and poison. This will enhance the gameplay of the Lumas: Isle of Eternity demo project by adding depth and strategic elements to creature battles.

AI Summary: Develop a Godot editor interface allowing users to modify variables within the DarrylBD99 Creature Capture System plugin's static data (Creatures, Items, Attacks, etc.). This will improve the user experience by providing direct control over the game's data.

AI Summary: Develop a visual node-based graph editor within Godot's editor for the DarrylBD99 Creature Capture System plugin. This editor will allow users to create custom calculations for various game mechanics, such as damage, stats, and catch rates. The graph system should integrate seamlessly with the existing plugin.

AI Summary: Refactor the code for DarrylBD99's Creature Capture System Godot plugin and its accompanying Lumas: Isle of Eternity demo project to improve readability by adding comments and cleaning up the code structure.