What problem does it solve? Teams and AI agents working on a Laravel codebase often guess at house style, producing inconsistent validation, architecture, and testing patterns. This Skill systematically analyzes how the application is actually written and records the findings as durable, path-scoped rules in .ai/rules so every agent and teammate follows the same conventions. ## Core Features & Use Cases - Systematic convention sweep: Evaluates roughly 49 Laravel convention dimensions across validation, controllers, authorization, Eloquent, architecture, frontend, database, testing, and API responses using a structured checklist. - Architecture discovery: Maps non-default app/ directories (Actions, Services, DTOs, Queries, domain modules) and records structural patterns and deliberate absences, such as "no repository layer". - Conflict and evidence handling: Requires at least three consistent examples per convention, reports mixed patterns as conflicts instead of picking a winner, and skips framework defaults and tool-owned formatting. - Use Case: After adopting Laravel Boost, run the sweep on an existing app to detect that it uses inline validation, legacy accessors, and constructor-injected services, then record those as rules so future agent-generated code matches the codebase. ## Quick Start Ask the agent to analyze this Laravel project's conventions and record them as rules in .ai/rules.
