Skill UI

A comprehensive toolkit for the full software development lifecycle. It guides stack selection using a detailed decision engine, automatically scaffolds complex boilerplate projects across multiple popular stacks (Next.js, MERN, FastAPI, Django), and provides deep code quality analysis. Features include security vulnerability detection, complexity scoring, and dependency auditing, ensuring high-quality development from the start.

This guide provides enterprise-grade architectural patterns for integrating Sentry into multi-service, microservices environments. It covers centralized configuration modules, standardized project topologies (e.g., one project per service), distributed tracing setup, and robust error handling middleware for Node.js, Express, and Python/FastAPI. Ideal for organizations planning large-scale Sentry rollouts or managing complex service ecosystems.

This skill provides a comprehensive collection of quick-start templates for developing applications across diverse tech stacks. Users can quickly scaffold full-stack web apps (Next.js), SaaS products, REST APIs (Express, FastAPI), mobile apps (Flutter, React Native), and specialized tools like CLI utilities. It ensures the initial project setup adheres to modern best practices, saving significant time during the initial development phase.

Automatically scans modern API frameworks (Next.js, Express, FastAPI, Django) to generate comprehensive, ready-to-run test suites. It ensures complete coverage for critical areas including authentication, input validation (boundary/injection), error code matrices, pagination, file uploads, and rate limiting. Ideal for TDD, contract testing, and security audits.

Automatically reverse-engineers any codebase (frontend, backend, or fullstack) into a comprehensive Product Requirements Document (PRD). It analyzes complex elements like routes, components, API integrations, state management, and business logic across major stacks (React, Vue, Next.js, Django, FastAPI). The resulting PRD is detailed enough for both product managers (understanding 'what') and engineers/AI agents (understanding 'how' to reconstruct the system).

This guide outlines architectural patterns and best practices for building scalable, production-ready APIs with FastAPI. It covers proper project structure, separating concerns using routers, services, and CRUD layers, implementing dependency injection for database sessions and authentication, defining Pydantic schemas for request/response, handling asynchronous operations, and managing custom error responses.

This skill simulates a Python project architecture expert, specializing in scaffolding full, production-ready applications. It generates complete project structures using modern tools like FastAPI, Django, and uv, enforcing best practices and type hinting. Use it when starting a complex, multi-component Python project from scratch.

This guide outlines architectural patterns and best practices for building scalable, production-ready APIs with FastAPI. It covers proper project structure, separating concerns using routers, services, and CRUD layers, implementing dependency injection for database sessions and authentication, defining Pydantic schemas for request/response, handling asynchronous operations, and managing custom error responses.

A comprehensive template providing best practices for full-stack development. It covers detailed architecture design, optimal file structures for Next.js and FastAPI, standard code patterns (e.g., API responses, custom hooks), and integration guidance for modern AI services, ensuring scalable and maintainable applications.

Build production-grade Azure Cosmos DB NoSQL services using Python with FastAPI. Covers authentication, service layer architecture, Pydantic models, and TDD principles for secure backend development.

One-line setup of Azure Monitor Application Insights for Python apps using OpenTelemetry auto-instrumentation. Covers Flask, Django, FastAPI, custom traces, metrics, logs, sampling, and AAD auth.

This skill provides a template for creating project-specific guidelines based on production applications. It includes architecture overviews, file structures, code patterns, testing requirements, and deployment workflows. Ideal for standardizing development practices across teams using technologies like Next.js, FastAPI, and AI integrations.