Modular Enhancements for
Upload Labs.
A suite of quality-of-life tweaks, debug utilities, and a core framework designed to extend functionality in Upload Labs. Built on the Godot Mod Loader.
grid_view Available Modules
TajemnikTV-Core
v1.2.0The foundational library required for all other modules. Provides shared APIs, standardized diagnostic output, and essential UI framework components.
TajemnikTV-QoL
v0.9.4A collection of quality-of-life improvements. Enhances existing interfaces, streamlines repetitive tasks, and adjusts visual feedback for better clarity.
Command Palette
v2.0.1An advanced overlay for executing quick commands, searching active processes, and toggling debug states without navigating complex menus.
Architecture: Why Core Exists
Instead of duplicating logic across multiple modifications, the TajemnikTV-Core establishes a unified foundation. This ensures stability and reduces memory footprint when running multiple modules simultaneously.
Shared APIs
Provides standardized methods for data manipulation, configuration saving, and event hooking, eliminating redundant script executions.
Centralized Diagnostics
Routes all error reporting and debug logging through a single, clean interface, making issue resolution significantly faster.
Unified Settings
Provides standard configuration saving and loading, giving users a consistent experience across all modules.
Reusable UI Framework
A strict set of pre-built UI components ensuring that every loaded module maintains visual and functional consistency within the lab environment.
rocket_launch Deployment Protocol
Install the Game
Ensure Upload Labs is installed and updated to the latest version on Steam.
Subscribe on Workshop
Navigate to the Steam Workshop and subscribe to Taj's Mods Core and any optional modules.
Enable Modules
Launch the game and ensure the mods are enabled in your in-game Mod Manager.
Latest Updates
Core Stability Pass
Refactored the primary event bus to reduce latency during heavy UI updates. Addressed a memory leak in the diagnostic logger.
Palette Overhaul
Command Palette received a full visual refresh aligning with the new lab aesthetic. Added fuzzy search for faster command execution.
Initial Framework Release
First public deployment of the modular architecture. Core and QoL modules established.