Ray Fernando introduces P-Stack and its potato mode as an entry point for a collection of skillsAn AI agent skill is a reusable package of instructions, resources, and tool guidance for performing a bounded kind of work. that guide AI-assisted engineering work. He describes how the system selects relevant procedures for a task.
Fernando explains setup, model configuration and the cost of using a more intensive workflow. He describes the skill collection as useful for tasks that need rigor, while warning that it can consume many tokensInference cost is the expense of running a trained AI model to process inputs and produce outputs..
In a live example, he shows an orchestrator distributing workAgent orchestration coordinates AI agents, tools, people, tasks, state, and control flow so a larger workflow reaches a verified outcome. to separate agentsAI agent delegation assigns a bounded task, context, authority, and expected result from one participant to an agent or another agent. and discusses choosing different models for implementation and reviewAI model routing sends each request to a model chosen for that request's complexity, cost, speed, privacy, or other requirements.. The results and productivity claims are presented as his own experience.
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