AI coding assistants like Cursor often treat user-defined rules in .cursorrules files as mere suggestions. Developers report that despite specifying strict guidelines—such as using Server Components or avoiding `any` types—the AI frequently ignores them, choosing convenience over compliance. This gap between intention and execution creates frustration for teams seeking deterministic code quality.

The proposed solution is Agent Skills, a framework that replaces interpretive rules with executable capability modules. Unlike a single configuration file, Skills use a structured directory with scripts, references, and templates. They load on demand and run actual code—like a Python script analyzing SQL EXPLAIN plans—rather than relying on AI judgment.

Examples include a Humanizer skill that flags AI-generated prose patterns and a SQL Optimization skill that provides concrete performance recommendations. These enforce workflows, not suggestions. The Agent Skills open standard, adopted by Anthropic, Microsoft, and VS Code, allows developers to package domain expertise into deterministic tools for legal, medical, or e-commerce tasks.