Beyond "Chat": Architecting Intelligence with Skills and Specification Engineering

Short summary

The article argues that mega-prompts are an unmanageable monolith and advocates shifting from prompt engineering to context engineering using XML tagging to separate instructions, context, and examples. It introduces the concept of Skills as procedural memory checklists for LLMs, drawing an analogy to pilot checklists, and demonstrates practical patterns for edge AI with small models. The approach is framework-agnostic and applicable to both cloud LLMs and browser-based SLMs.

• •Mega-prompts are the modern equivalent of monolithic single-file code; break them into modular skills
• •XML tagging separates instructions, context, and examples for deterministic model behavior
• •Few-shot good/bad examples are more token-efficient than lengthy theoretical instructions, especially for small edge models

Generated with AI, which can make mistakes.