Skill UI

This skill provides comprehensive guidance for building scalable, maintainable, and production-ready backend applications using Node.js. It covers modern architectural patterns, best practices, and implementation details for REST APIs, GraphQL servers, microservices, authentication, real-time WebSockets, and complex database integrations (SQL/NoSQL).

Implement vendor-neutral observability using OpenTelemetry standards for traces, metrics, and logs. Configure collectors, set up Kubernetes deployments, and instrument Python services. Supports Prometheus, Jaeger, and Loki backends. Essential for unified monitoring in microservices and infrastructure environments.

This skill enables diagnosing performance bottlenecks in applications and infrastructure through profiling, tracing, and load testing. It covers observability setup, latency optimization, caching strategies, and scalability planning. Ideal for optimizing backend, frontend, and distributed systems to ensure high throughput and reliability.

This skill assists developers in creating Pydantic models following a multi-model pattern for clean API contracts. It supports defining Base, Create, Update, Response, and InDB models with camelCase aliases and optional fields. Ideal for Python backend development, ensuring type safety and seamless integration with TypeScript types.

An end-to-end workflow for building robust, production-ready Python backend APIs. This guide covers all stages, including project scaffolding, SQLAlchemy database integration, Pydantic validation, implementing JWT/OAuth2 authentication, comprehensive error handling, unit testing, and Docker deployment for modern microservices.

This skill provides best practices for structuring Makepad applications using the Robius framework. It covers async backend integration, Tokio runtime integration, and communication patterns between UI and worker tasks. Suitable for building production-ready applications with complex sync/async requirements.

This skill generates Robot Framework tests using keyword-driven syntax with Python. It supports SeleniumLibrary for web UI testing and RequestsLibrary for API testing. Users can define custom keywords and create data-driven test cases. Ideal for automation engineers needing structured test scripts for web applications and backend services. Supports cloud integration and CI/CD pipelines.

This skill handles tasks involving Supabase, a backend-as-a-service platform. It covers database management, authentication, edge functions, storage, and real-time features. It includes guidance on client library integration with frameworks like Next.js and React. The skill emphasizes verifying changes against documentation, securing data with Row Level Security (RLS), and managing API keys safely. It helps resolve auth issues and implement secure database policies.

Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript across browsers and server-side runtimes like Node.js, Bun, and Deno, enabling text analysis, image classification, speech recognition, and multimodal AI applications without a Python backend.

This comprehensive toolkit automates critical Webflow operations, including managing CMS collections (create, update, delete), site publishing, page inspection, and asset uploads. By connecting via Rube MCP, it allows developers to programmatically interact with Webflow's backend, making it ideal for implementing automated content workflows, CI/CD pipelines, and large-scale content management systems.

This skill enables searching for specific orders within an e-commerce backend system. It allows retrieving current order status and modifying order details after user confirmation. It utilizes tools like SHOP_GET_ORDER and SHOP_UPDATE_ORDER to manage single order records efficiently.

Extract text from scanned PDFs, images, and photographed pages using OCR backends, language packs, force-OCR, and performance tuning with the Xberg CLI.