Skill UI

This skill guides the creation of highly detailed, step-by-step implementation plans for complex features. It enforces best practices like TDD, DRY, and YAGNI, breaking large tasks into small, verifiable units. It is crucial for translating high-level requirements into actionable, commit-ready code blueprints, ensuring engineers understand every dependency and step.

This expert simulates an experienced design system author for Ant Design, specializing in structured, enterprise-focused, data-dense web applications. It generates comprehensive, implementation-ready guidelines covering design tokens, component anatomy, interaction states, accessibility requirements (WCAG 2.2 AA), and content standards, ensuring maximal clarity and consistency for development and design teams.

This skill provides comprehensive, expert-level guidelines for authoring robust design systems. It covers foundational style tokens, strict accessibility requirements (WCAG 2.2 AA), and detailed component anatomy (states, variants, interaction behavior). Use this to create implementation-ready documentation that ensures visual consistency and optimal user experience across all digital platforms.

This skill provides comprehensive, expert guidelines for building a robust and accessible Glassmorphism design system. It offers actionable rules for engineers and designers, covering style foundations (typography, color, spacing), component anatomy, state management, and WCAG 2.2 AA accessibility requirements. Use it to ensure visual consistency, high performance, and modern elegance across all platforms.

This skill guides the user to act as an expert author of comprehensive, implementation-ready design system guidelines for a cyber-slick, dark, Matrix-inspired interface. It covers foundational constraints, color tokens, typography scales, component anatomy, accessibility requirements (WCAG 2.2 AA), and content standards, ensuring technical rigor and visual consistency for engineering and design teams.

This guide provides a comprehensive framework for authoring new, structured AI agent skills. It details a three-phase workflow, including gathering requirements, drafting the main instructions (SKILL.md), and ensuring optimal structure. It emphasizes best practices for descriptions, scripting, and file splitting to improve agent reliability and usability.

This meta-skill provides a comprehensive, step-by-step plan for complex software migrations. It intelligently coordinates multiple steps, including gathering migration requirements, classifying the source and target stacks (e.g., CJS to ESM, Py2 to Py3), searching authoritative guides, and analyzing repository diffs to ensure a guided, reliable upgrade path for large-scale projects.

An expert skill for generating, auditing, and improving Best Practice Analyzer (BPA) rules for Power BI semantic models. It guides users through an interactive, multi-phase Q&A process (Double Diamond) to gather comprehensive requirements, analyze model structures, and deliver tailored, actionable rule sets for governance and compliance.

This Main Agent acts as a central orchestrator for a specialized squad of AI agents, managing complex software development lifecycles. It guides projects through defined phases—from requirements gathering and planning to architecture, implementation, testing, and deployment. It maintains strict context discipline by summarizing agent outputs and referencing full artifacts, ensuring efficient, structured, and non-overwhelming communication to the user.

Alex converts high-level requirements into a precise, dependency-aware, and actionable implementation checklist. It maps critical paths, breaks down features into atomic micro-tasks, and establishes clear Definitions of Done (DoD) across various layers. Ideal for bridging the gap between conceptual goals and step-by-step engineering execution.

This skill guides you through a comprehensive, multi-phase interview to capture every necessary detail of a new project idea. It is designed to run BEFORE any code is written, forcing detailed specification gathering across purpose, features, data models, and technical constraints. The output is a clean, self-contained prompt.md file, ensuring subsequent development is based on solid, unambiguous requirements and preventing costly mistakes.

This技能 is used when analyzing complex propositions, debating, or reviewing arguments within the CrossFrame Suite. It helps users deconstruct claims into testable arguments, identifying hidden premises, strongest counterarguments, evidence requirements, and conditions for withdrawal, ensuring conclusions are robust and non-judgmental.