Integrated the IFBench benchmark into the NVIDIA/NeMo-Skills repository, expanding the framework’s benchmarking capabilities for chat and instruction tasks. The work involved end-to-end setup, including cloning the IFBench repository, managing dependencies, and configuring Python modules for evaluation. Documentation was updated in Markdown to clearly reflect IFBench as a supported benchmark, improving reproducibility and transparency for model assessment workflows. Leveraging skills in benchmarking, DevOps, and full stack development, the integration enables more robust, data-driven evaluation of conversational models in real-world scenarios. No major bugs were addressed during this period, with the focus remaining on feature delivery and documentation clarity.