Optimizing AI Workflows: A 3-Layer Approach to Claude Code Skills

This article details a fascinating 3-layer architecture for structuring Claude Code Skills, aiming to balance the need for reliable, deterministic processes with the creative flexibility of Generative AI. The design separates tasks to maximize efficiency and reduce the 'slightly different behavior' problem during execution.

• •The 3-layer structure separates deterministic script tasks, conditional branching via SKILL.md, and creative AI-driven decision-making.
• •This design helps to address inconsistencies that can arise when executing multiple commands.
• •The architecture provides a clear framework for balancing automation with human-like, creative tasks.