Worked on enhancing the denverdino/kubectl-ai repository by delivering comprehensive documentation focused on improving developer experience and aligning with the Kubernetes plugin ecosystem. The main contribution involved updating the README using Markdown to clearly outline two distinct plugin invocation methods, both direct binary and via the kubectl plugin interface. Standardized usage examples and linked official Kubernetes documentation were added to streamline onboarding and reduce support queries. No bugs were addressed during this period, with efforts concentrated on documentation quality and consistency. These improvements aimed to facilitate smoother integration into CI/CD workflows and increase the plugin’s discoverability for new users and contributors.