Skill UI

An adversarial AI skill designed to hunt down bugs, logic errors, and security flaws in any codebase. Unlike standard reviews, it actively tries to break the code to ensure correctness. It covers logic errors, null safety, edge cases, security vulnerabilities, and more. Use this for deep correctness passes rather than style reviews.

This skill provides a core component library and design system patterns for building consistent user interfaces. It emphasizes using design tokens for spacing, color, and typography instead of hard-coded values. Includes patterns for layout, forms, and interactive elements like buttons and inputs, ensuring maintainable and scalable UI development.

This skill provides modern React UI patterns for handling loading states, error management, and data fetching. It covers best practices like showing spinners only when necessary, surfacing errors to users, optimistic updates, and graceful degradation. Use this when building UI components, managing async data, or creating responsive user interfaces with proper feedback mechanisms.

Four-phase debugging methodology that traces bugs to their root cause before fixing. Use for test failures, runtime errors, intermittent issues, and unexpected behavior.

This skill covers Jest testing patterns, factory functions, mocking strategies, and TDD workflows. It helps developers write maintainable unit tests, create test factories, and follow the red-green-refactor cycle. Includes guidance on custom render functions, component props factories, data factories, mocking modules and GraphQL hooks, and best practices for test structure and user interaction patterns.

This skill processes raw, unstructured materials (e.g., conversations, reports, controversies) into highly structured, reusable casebook entries. It focuses on identifying core facts, defining mechanism chains, and mapping responsibility links while ensuring rigorous data anonymization. It is designed for deep knowledge management and pattern recognition, helping users build a reliable, reusable knowledge base for future professional analysis, rather than generating immediate advice.

A comprehensive skill for systematically building, refining, and documenting a project's domain model. It helps define core terminology, establish a ubiquitous language, and record critical architectural decisions (ADRs). Use this when you need to challenge ambiguous language, invent edge-case scenarios, or maintain architectural consistency throughout the development lifecycle.

Automate end-to-end customer support workflows within Freshdesk. This skill allows users to manage the complete ticket lifecycle, including creating new cases, updating statuses, performing advanced searches, and adding public replies or private notes. It is designed for integrating sophisticated support operations into automated processes via Rube MCP.

This skill is designed to detect and rewrite text that exhibits common characteristics of AI-generated Chinese writing, such as rigid structures, mechanical connectors, and over-polished phrasing. It helps users 'de-AI' their content by restoring natural human rhythm. Key use cases include reducing AIGC signals in academic papers (for CNKI/VIP checks), and converting the writing tone to specific styles like Zhihu, Xiaohongshu, or literary prose.

This skill specializes in creating high-impact portfolios that convert visitors into job opportunities or clients. It covers developer, designer, and creative portfolios, focusing on UX, personal branding, and conversion optimization. The expert balances creativity with usability to ensure memorable experiences within the critical 30-second impression window. Ideal for users needing to showcase work effectively.

Learn to design Jev-assisted workflows using collected use cases, references, and examples. Adapt patterns for classification, scoring, or candidate selection, including batch judgments and agent checkpoints.

Analyzes data coverage gaps and creates monitors for warehouse tables and AI agents. Covers use-case analysis, data monitor creation, monitors-as-code YAML, and agent observability.