Agentic Engineering

Use this skill for engineering workflows where AI agents perform most implementation work and humans enforce quality and risk controls. It emphasizes defining completion criteria, decomposing tasks into manageable units, and routing model tiers based on task complexity. The approach includes a structured eval-first loop to ensure quality and accountability in AI-generated outputs, focusing on invariants, edge cases, and cost discipline throughout the engineering process.