
Worked on the GDCASU/VGDC-Game-2025-26 repository to enhance the in-game tutorial system and streamline asset management within Unity. Focused on improving onboarding and guided gameplay by introducing dynamic text, input actions, canvas options, and more flexible resource paths, all managed through C# scripting and state management techniques. Added an on-completed state to support branching tutorial flows, making the system more adaptable. Simultaneously, performed internal maintenance by removing redundant meta files and implementing automatic detection to reduce manual overhead. These updates improved project organization, reduced clutter, and contributed to faster development cycles while demonstrating proficiency in C#, Unity, and UI design.
January 2026 monthly summary for GDCASU/VGDC-Game-2025-26: Delivered substantial improvements to the in-game tutorial system and streamlined asset management to strengthen onboarding, gameplay guidance, and development efficiency. The Tutorial System Enhancements introduced dynamic text, input actions, canvas options, and enhanced resource paths to enable more flexible and reliable guided gameplay, including an on-completed state to support branching tutorial flows. In parallel, Tutorial System Maintenance and Asset Management performed internal cleanup by removing unnecessary meta files and adding automatic detection to improve project organization and reduce manual overhead.
January 2026 monthly summary for GDCASU/VGDC-Game-2025-26: Delivered substantial improvements to the in-game tutorial system and streamlined asset management to strengthen onboarding, gameplay guidance, and development efficiency. The Tutorial System Enhancements introduced dynamic text, input actions, canvas options, and enhanced resource paths to enable more flexible and reliable guided gameplay, including an on-completed state to support branching tutorial flows. In parallel, Tutorial System Maintenance and Asset Management performed internal cleanup by removing unnecessary meta files and adding automatic detection to improve project organization and reduce manual overhead.

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