What problem does it solve? Teams struggle to keep code consistent across multiple languages and reviewers, leading to style drift, swallowed errors, magic strings, and unmaintainable functions. This Skill gives an AI agent a single grounded rulebook to audit, review, and fix code against strict, example-driven standards. ## Core Features & Use Cases - Multi-language rule enforcement: Applies grounded good/bad examples for Go, TypeScript/React, Python, Rust, C#, PHP, and Java covering booleans, enums, error wrapping, and immutability. - Hard-rule auditing: Enforces 23 zero-tolerance rules such as 15-line function caps, no nested ifs, no magic strings, affirmative boolean naming, and Result wrapper types. - Whitespace and structure standards: Mandates blank-line-before-return conventions, parameter structs, leaf-package type architecture, and file size caps. - Use Case: Point the agent at a Go service or React component and ask it to audit the code; it catalogs violations against the spec, then refactors into decomposed, guideline-compliant functions. ## Quick Start Ask the agent to audit a target file or folder against the coding guidelines and fix every violation it finds.
