Reading up on agent-design

The standard reinforcement learning formalization errs by placing reward in the environment; instead, reward should be part of the agent, enabling goal-driven behavior.

Claude's Agent Skills use a prompt-based meta-tool architecture that injects specialized instructions and context modifications to guide complex workflows without executing code.