UMKC-GDT/Dress-To-Aggress
Mar 2025 – Apr 2025
2 Months active
Languages Used
GDScriptTextglsl
Technical Skills
Asset ManagementCharacter CustomizationCode CleanupCode RefactoringConfiguration ManagementGame Development
Trevor Norton
PROFILE
Trevor Norton
Trevor Norton developed core gameplay and asset management systems for the UMKC-GDT/Dress-To-Aggress repository over a two-month period, focusing on scalable character customization and robust project structure. He implemented a wearable resource core and integrated it with a modular object selector, enabling dynamic outfit changes and metadata-driven cataloging. Using GDScript and Godot Engine, Trevor enhanced game flow with a centralized Game Manager, win/lose state handling, and scene timers. He also improved asset organization, enforced rights compliance, and refined UI elements for usability. His work emphasized maintainability, version control hygiene, and data consistency, resulting in a stable foundation for future feature expansion.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
31Total
Bugs
6
Commits
31
Features
18
Lines of code
7,832
Activity Months2
Your Network
9 people
Work History
April 2025
5 Commits • 2 Features
Apr 1, 2025April 2025 focused on asset hygiene, scene polish, and repository cleanliness for Dress-To-Aggress. Key work delivered improvements to asset organization and rights compliance, visual and data consistency for the Dress Up scene, hardening end-of-game behavior, and preventing leakage of user-generated data through version control hygiene.
5 Commits • 2 Features
Apr 1, 2025April 2025 focused on asset hygiene, scene polish, and repository cleanliness for Dress-To-Aggress. Key work delivered improvements to asset organization and rights compliance, visual and data consistency for the Dress Up scene, hardening end-of-game behavior, and preventing leakage of user-generated data through version control hygiene.
April 2025
March 2025
26 Commits • 16 Features
Mar 1, 2025March 2025 performance summary for UMKC-GDT/Dress-To-Aggress: Delivered foundational project scaffolding and a sequence of wearable-focused features enabling a scalable wearable ecosystem. Key features include the Wearable Resource Core with a scene leveraging the resource, Wearable System (T1) finalized, and Object Selector integration for Wearable interactions. Dress Up flow enhancements (rename Dressup scene, timer, and extended clothing resource variables). Game Manager added with Win/Lose states and Fight Scene timer to drive robust game flow. Wearable metadata and tagging added for description support and project tagging to improve cataloging and searchability. Scene cleanup and UI improvements including text tweaks and main menu changes to enhance usability. Also fixed compatibility issues after branch merges and removed problematic assets to stabilize builds. Overall impact: improved build stability, maintainability, and readiness for broader feature rollout, enabling faster iterations and clearer content governance.
March 2025
26 Commits • 16 Features
Mar 1, 2025March 2025 performance summary for UMKC-GDT/Dress-To-Aggress: Delivered foundational project scaffolding and a sequence of wearable-focused features enabling a scalable wearable ecosystem. Key features include the Wearable Resource Core with a scene leveraging the resource, Wearable System (T1) finalized, and Object Selector integration for Wearable interactions. Dress Up flow enhancements (rename Dressup scene, timer, and extended clothing resource variables). Game Manager added with Win/Lose states and Fight Scene timer to drive robust game flow. Wearable metadata and tagging added for description support and project tagging to improve cataloging and searchability. Scene cleanup and UI improvements including text tweaks and main menu changes to enhance usability. Also fixed compatibility issues after branch merges and removed problematic assets to stabilize builds. Overall impact: improved build stability, maintainability, and readiness for broader feature rollout, enabling faster iterations and clearer content governance.
Activity
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Quality Metrics
Correctness85.8%
Maintainability85.8%
Architecture82.0%
Performance78.8%
AI Usage21.4%
Skills & Technologies
Programming Languages
GDScriptTextglsl
Technical Skills
Asset ManagementBug FixingCharacter CustomizationCode CleanupCode RefactoringConfiguration ManagementFile OrganizationGame DevelopmentGodot EngineProject ConfigurationProject ManagementProject SetupResource LoadingResource ManagementScene Editing
Repositories Contributed To
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