Generate or update AGENTS.md/CLAUDE.md files for AI coding agents through auto-scanning project files combined with interactive Q&A. Supports multiple tech stacks, development environments, and preserves customizations when updating.
Create, reorganize, or update documentation for monorepos or single-project repos using root docs indexes, unique repo/module/feature identifiers, repo-owned detailed docs, cross-repo relationship maps, machine-readable frontmatter, API contracts, workflows, runbooks, testing, and debugging guidance.
Generate a project-specific DESIGN_SYSTEM.md that enforces consistent UI/UX across SPAs, traditional server-rendered sites, and hybrid systems. Includes tokens, component rules, accessibility gates, and production asset/manifest guidance.
Generate Docker Compose and Dockerfile configurations for local development through interactive Q&A. Supports PHP/Laravel, WordPress, Drupal, Joomla, Node.js, and Python stacks with Nginx, Supervisor/PM2, databases, Redis, and email testing. Always asks clarifying questions before generating configurations.
Guidelines and workflow for working on Laravel 11 or Laravel 12 applications across common stacks (API-only or full-stack), including optional Docker Compose/Sail, Inertia + React, Livewire, Vue, Blade, Tailwind v4, Fortify, Wayfinder, PHPUnit, Pint, and Laravel Boost MCP tools. Use when implementing features, fixing bugs, or making UI/backend changes while following project-specific instructions (AGENTS.md, docs/).
Design and refactor polished office-style web app interfaces for admin, internal, and back-office products. Use when an AI agent needs to build or improve dashboards, stat cards, page heroes, filter/search bars, data tables, shells, side panels, semantic locator classes, or reusable page composition that stays portable across Vue, React, Laravel, and other web stacks with or without PrimeVue.
Universal developer mindset and project workflow guide for programming projects. Use when creating a new project, choosing or reviewing a tech stack, modifying an existing codebase, implementing features, fixing bugs, writing or updating documentation, designing architecture or folder structure, improving UI/UX consistency, adding tests, debugging errors, improving performance, preparing deployment, or working across multiple repositories. Useful for experienced developers, beginners, non-developers, founders, and anyone who needs AI assistance to build, maintain, document, test, debug, or deploy software safely.
Plan and implement secure production deployments of Docker Compose applications on self-hosted VPS or cloud servers using Docker Engine, Docker Compose, Traefik, private registries, SSH tunnels, least-privilege users, persistent volumes, backups, DNS, and storage growth planning. Use when an AI agent needs to design, review, document, or execute a real deploy for websites, APIs, websockets, workers, databases, and object storage integrations on Ubuntu or Debian style Linux hosts.