Skill UI

A comprehensive toolkit designed to professionalize LLM prompt workflows. It moves prompts from ad-hoc drafts to measurable, production-ready assets through A/B testing against structured test cases, immutable version tracking, and governance guidelines. Essential for marketing teams needing verifiable quality and safety for AI-generated content.

Generates a production-ready SaaS boilerplate with authentication, database schema, billing integration, API routes, and a dashboard built with Next.js 14 App Router, TypeScript, Tailwind, shadcn/ui, Drizzle ORM, and Stripe—ideal for bootstrapping new subscription-based products.

This comprehensive guide facilitates the development of a production-ready Minimum Viable Product (MVP) for a SaaS business. It covers the entire lifecycle, including idea validation, modern tech stack selection (Next.js, Supabase, Stripe), architectural design for multi-tenancy, database schema planning, authentication setup, payment integration, and a detailed pre-launch checklist for technical and marketing readiness.

A comprehensive guide and skill for building robust, production-ready REST API endpoints. This skill covers full lifecycle development, including input validation, centralized error handling, authentication/authorization checks, CRUD operations, pagination, and generating proper API documentation. It ensures that back-end services are secure, scalable, and adhere to industry best practices.

This comprehensive skill guides you through the entire content lifecycle, from initial research and competitive analysis to drafting a full piece and finally performing SEO optimization. It ensures the output is a structured, authoritative, and publish-ready article, perfect for marketing teams creating technical blogs, guides, or long-form content.

This tool automates the creation of production-ready End-to-End (E2E) tests using the Playwright framework. Users can provide natural language descriptions (like user stories, feature names, or component paths) to automatically generate comprehensive test suites. It follows best practices, including utilizing role-based locators, structuring tests with setup/act/assert phases, and generating supporting files like page objects and fixtures for maintainability.

This guide provides expert knowledge on implementing complex, production-ready animations within the Makepad UI framework. It covers animation patterns for various interaction states, including hover, focus, pressed, and disabled. Users can learn to write code for transitions, manage state changes, and utilize advanced concepts like easing functions and keyframes to build visually rich user interfaces.

Sets up production-ready Odoo with Docker, docker-compose, PostgreSQL, persistent volumes, env config, optional Nginx SSL proxy, plus diagnostics and best practices for launching on VPS or local dev.

Generates and reviews Odoo XML definitions for Form, List, Kanban, Search, Calendar, and Graph views across versions 14–17, handling visibility, groups, domains, contexts, and widget rules with migration-aware syntax so you can deliver production-ready view XML.

This skill provides best practices for structuring complex, production-ready applications built with Makepad. It details robust asynchronous communication patterns, showing how to integrate the Tokio runtime, manage state synchronization, and handle data flow between the main UI thread and background worker tasks using MPSC channels and SignalToUI. Essential for developing advanced chat clients or data streaming services.

A comprehensive guide and set of best practices for designing reusable, production-ready widgets in Makepad. This skill covers advanced UI patterns such as modal overlays, collapsible sections, drag-and-drop functionality, and dynamic text/image toggling, ensuring robust and consistent component architecture.

A framework for building production-ready, low-latency, multimodal AI agents. It allows developers to orchestrate complex pipelines that seamlessly handle real-time audio, video, and text data. Key capabilities include integrating multiple AI services (LLMs, STT, TTS), managing conversation context, and enabling tool use and function calling for advanced, interactive AI applications.