Developed and delivered enhanced robotic manipulation testing capabilities for the isaac-sim/IsaacLab repository by implementing four new cube-stacking task variants. Focused on expanding the test bed to validate success conditions across multiple color permutations and stack orders, the work improved reproducibility and robustness in simulation environments. Leveraged Python and robotics simulation expertise to ensure comprehensive test coverage, while maintaining high code quality through adherence to contribution guidelines, thorough documentation, and systematic version tracking. The feature was integrated with all required quality gates, including pre-commit checks and changelog updates, supporting collaborative development and enabling more reliable evaluation of robotic manipulation tasks.