Daniella contributed to the chalk-ai/docs repository by documenting enhancements for KEDA resource scaling and introducing CLI log access features. She focused on improving the clarity and depth of technical documentation using Markdown, ensuring that optimizations in resource usage and expanded zero-scale support for KEDA were thoroughly explained. Her work detailed how these changes could enable broader cost-efficient scaling across cloud resources, and she validated the documentation to align with performance improvements. By updating the changelog and highlighting new CLI capabilities, Daniella provided developers with clear guidance on leveraging these features, demonstrating strong skills in documentation workflows and technical communication.