2dos/DK64-Randomizer
Dec 2024 – Dec 2025
3 Months active
Languages Used
BinaryCMarkdownPythonTypeScriptHTMLJSONJavaScript
Technical Skills
Accessibility FeaturesAsset ManagementBuild ScriptingBuild SystemsC ProgrammingCode Formatting
KnownAsChuck
PROFILE
Knownaschuck
Worked on the 2dos/DK64-Randomizer repository, delivering features that expanded character model randomization and improved asset management. Developed dynamic Krusha cosmetic variations with color customization and accessibility considerations, using Python and C to implement data-driven asset pipelines and patch integration. Enhanced the user interface with new selectors and tooltips, clarifying options and improving onboarding. Addressed build stability by deduplicating assets and refining patch workflows, while updating documentation to support new features. Introduced mode-based settings for character models and tuned randomization odds, ensuring scalable configuration. Maintained code quality through linting, code cleanup, and structured version control practices throughout the development cycle.
Overall Statistics
Feature vs Bugs
57%Features
Repository Contributions
23Total
Bugs
3
Commits
23
Features
4
Lines of code
5,332
Activity Months3
Your Network
33 peopleShared Repositories
16
Work History
December 2025
2 Commits • 2 Features
Dec 1, 2025December 2025 monthly performance summary for 2dos/DK64-Randomizer. Delivered new customization options and clarified user guidance to improve decision-making and onboarding, while maintaining stability of the randomizer configuration. Key outcomes include a Krusha character model addition with mode-based settings, odds tuning, and improved tooltips and documentation. These changes drive engagement by expanding options and reducing user confusion.
2 Commits • 2 Features
Dec 1, 2025December 2025 monthly performance summary for 2dos/DK64-Randomizer. Delivered new customization options and clarified user guidance to improve decision-making and onboarding, while maintaining stability of the randomizer configuration. Key outcomes include a Krusha character model addition with mode-based settings, odds tuning, and improved tooltips and documentation. These changes drive engagement by expanding options and reducing user confusion.
December 2025
November 2025
5 Commits • 1 Features
Nov 1, 2025In November 2025, delivered the Kong Model Randomization feature for the 2dos/DK64-Randomizer, introducing configurable Kong character model randomization with a new mode 'Sometimes One', UI controls, and integrated pre-run commands. The work includes enhancements to the UI selector, expanded Krusha randomization options, and code quality improvements through linting and cleanup.
November 2025
5 Commits • 1 Features
Nov 1, 2025In November 2025, delivered the Kong Model Randomization feature for the 2dos/DK64-Randomizer, introducing configurable Kong character model randomization with a new mode 'Sometimes One', UI controls, and integrated pre-run commands. The work includes enhancements to the UI selector, expanded Krusha randomization options, and code quality improvements through linting and cleanup.
December 2024
16 Commits • 1 Features
Dec 1, 2024December 2024 summary for 2dos/DK64-Randomizer focused on delivering a major feature set for Krusha cosmetic variations, stabilizing builds with asset deduplication and patch maintenance, and performing housekeeping improvements to ensure maintainability and reliability of the asset pipeline and patch integration. Key outcomes include: a data-driven, color-aware Krusha asset system with dynamic processing, reduced build-time inconsistencies due to deduplicated assets, and a streamlined patch workflow for shrink patches (BPS) integrated with the build system.
16 Commits • 1 Features
Dec 1, 2024December 2024 summary for 2dos/DK64-Randomizer focused on delivering a major feature set for Krusha cosmetic variations, stabilizing builds with asset deduplication and patch maintenance, and performing housekeeping improvements to ensure maintainability and reliability of the asset pipeline and patch integration. Key outcomes include: a data-driven, color-aware Krusha asset system with dynamic processing, reduced build-time inconsistencies due to deduplicated assets, and a streamlined patch workflow for shrink patches (BPS) integrated with the build system.
December 2024
Activity
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Quality Metrics
Correctness83.8%
Maintainability80.0%
Architecture78.2%
Performance77.4%
AI Usage21.8%
Skills & Technologies
Programming Languages
BinaryCHTMLJSONJavaScriptMarkdownPythonTypeScript
Technical Skills
Accessibility FeaturesAsset ManagementBuild ScriptingBuild SystemsC ProgrammingCode FormattingColor ManipulationColor TheoryDocumentation UpdateGame ModdingHTMLImage ProcessingJSONMemory Address ManipulationMerge Conflict Resolution
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