Skill UI

A comprehensive CI/CD pipeline for Quarkus applications, designed to verify code quality and deployment readiness. It covers all phases: build, static code analysis (SonarQube, Checkstyle), rigorous functional testing (Unit, Integration, API), security scanning (OWASP, dependency checks), native image compatibility testing, performance load testing (K6), and container image validation (Trivy, Grype).

An expert guide for creating comprehensive, implementation-ready design system documentation. This skill generates structured guidelines covering design tokens, typography, spacing, component anatomy, interaction states, and WCAG accessibility criteria, ensuring consistency and quality for developers and designers.

This comprehensive guide establishes the standards for a modern, minimalist, and highly functional design system. It defines foundational elements like typography, color tokens, and spacing scales, while strictly adhering to WCAG 2.2 AA accessibility. It provides structured workflows, detailed component rules, and quality gates for both designers and engineers to ensure consistent, usable, and aesthetically pleasing product experiences.

This skill provides comprehensive code reviews, helping users assess code quality, identify various potential issues (syntax, logic, security, performance), and receive actionable suggestions for improvement. It generates a detailed, structured report covering a summary, found issues, and quality metrics.

A comprehensive orchestrator managing the entire academic research lifecycle, from initial research ideation through drafting, rigorous integrity checks, multi-stage peer review, revision, and final publication. It coordinates deep research, paper drafting, and review processes into a structured, reproducible, and quality-gated 10-stage workflow, ensuring academic integrity at every step.

A comprehensive guide covering advanced scripting for Rhinoceros 3D. This skill addresses multiple surfaces, including RhinoPython, VBScript (RhinoScript), and direct RhinoCommon (.NET). Use it to write production-quality scripts, automate complex modeling tasks, manipulate geometry (layers, blocks), build custom command macros, and interact with the Rhino environment efficiently.

A comprehensive, multi-phase quality assurance tool designed for Next.js fullstack applications. It verifies production readiness by checking code integrity, build success, SEO metadata, API authentication, route stability, performance, and security vulnerabilities. Use it as a mandatory pre-deployment checklist before promoting an app to production.

This skill serves as an alias for the comprehensive debugging toolkit, enabling users to perform smart, guided debugging sessions. It assists in identifying errors, improving code quality, and walking through complex technical processes. Use it when you need structured help with debugging code in a defined environment.

Provides a comprehensive, step-by-step workflow for developers to integrate new Azure Backup commands into the Azure Backup MCP toolset. It covers the entire development lifecycle, including option definition, service implementation, command logic, command registration, input validation, writing unit tests, and executing live/recorded tests, ensuring high quality and adherence to best practices before PR submission.

This guide outlines a systematic workflow to eliminate copy-paste duplication (code clones) detected by tools like jscpd. It teaches developers how to refactor repeated code into shared functions, modules, constants, or base classes. Use this process when your codebase exhibits significant redundancy to improve maintainability, reduce technical debt, and enhance overall code quality.

jscpd is a comprehensive code quality tool designed to detect copy-pasted or duplicated segments across programming source code. Supporting over 150 languages, it identifies redundant code blocks and calculates the overall duplication percentage. It offers multiple reporters (AI, HTML, JSON) and integrates with refactoring workflows to help developers maintain high code integrity.

This meta-skill runs three essential quality gates (ruff, mypy, and pytest) concurrently against the staged changes. It provides a comprehensive, CI-like check locally, offering a single BLOCK or APPROVE verdict to ensure code readiness before committing. It combines static analysis, type checking, and unit testing into one workflow.