About
This skill empowers developers to build and manage self-integrating Radio Access Network (RAN) systems through a cognitive consciousness framework. It leverages temporal reasoning and AgentDB-driven reinforcement learning to automate microservices orchestration, service discovery, and adaptive system integration. Ideal for complex network environments, it enables intelligent coordination between core network, radio access, and transport components while providing a structured approach to designing evolutionary, autonomous service architectures that adapt to network demands in real-time.
