What problem does it solve? Teams struggle to maintain consistent coding standards because developers lack concrete, in-repo reference implementations. This Skill scans a codebase and produces an exemplars.md document identifying the best real files that demonstrate the project's established patterns, so new code follows existing conventions. ## Core Features & Use Cases - Automatic Stack Detection: Detects languages and frameworks across .NET, Java, React, Angular, Vue, Svelte, Next.js, Nuxt, Node.js, Python, Go, Rust, Rails, Flutter, Swift, and Kotlin, then applies framework-specific exemplar categories. - Monorepo-Aware Analysis: Detects multi-project repositories, scans each sub-project independently, and identifies cross-project exemplars such as API contract pairs, auth flows, and end-to-end data flows. - Layered Exemplar Coverage: Identifies exemplars across presentation, business logic, data access, cross-cutting concerns, background jobs, external integrations, and infrastructure, with optional code snippets and anti-pattern guidance. - Use Case: A tech lead onboarding new developers runs the generator on a React + Node.js monorepo and receives a structured exemplars.md with a quick-reference table, per-category exemplars, anti-patterns to avoid, and a new-feature checklist. ## Quick Start Ask the AI to scan this repository and generate an exemplars.md file documenting the best representative code examples for each architectural layer and pattern.
