Skill UI

This skill helps generate comprehensive and structured TestNG test cases for Java. It supports advanced testing features crucial for enterprise automation, including method grouping, data-driven testing using @DataProvider, parallel execution setup, XML suite configuration, and custom listeners. Use it when building robust, scalable, and maintainable automated test suites.

Utilizes Expo DOM components to render web code verbatim inside a webview on native platforms, while maintaining native rendering on the web. This enables developers to integrate web-only libraries (such as charting tools, syntax highlighters, or complex CSS layouts) and incrementally migrate existing web components into a React Native application without substantial rewriting.

This skill provides the central management layer for defining an AI agent's capabilities. It uses the `capabilities.yaml` file as the single source of truth to configure everything from integrated skills, tools, hooks, and sub-agents. Use this when running any `capa` command (install, clean, add, etc.), integrating a new service, or troubleshooting the project's entire operational environment.

This skill analyzes React, Tailwind, or HTML interfaces against a comprehensive design rubric (74 rules). It scores the UI from 0-100, identifying common flaws that make interfaces look generic, unfinished, or "AI-generated"—such as mixed corner radii, poor color discipline, or missing states. It provides a prioritized list of actionable fixes to ensure a polished, professional, and user-centric experience before deployment.

A versatile white editorial deck designed for modern, clean presentations. It features a pure white background accented by a rainbow bar, gradient text, soft macaron cards, and focused black pills. This template is perfect for marketing or creative content that needs to adapt seamlessly across multiple platforms, such as social media image posts (e.g., Xiaohongshu) and standard horizontal PPT slides.

A template designed for creating educational and marketing explainer animations with a strong retro, 8-bit pixel aesthetic. Utilizing pure CSS keyframes for seamless looping, the design features a central pixel mascot, kinetic text displays, and a dynamic timeline ribbon. Perfect for conveying information in a nostalgic style without relying on JavaScript.

A technical specialization focused on Generative Engine Optimization (GEO). This skill ensures that specific web pages are structured, documented, and optimized for modern AI answer engines (Google AI Overviews, ChatGPT, Bing Copilot). It focuses on technical elements like structured data (JSON-LD), semantic HTML, and robust metadata to maximize discoverability, trustworthiness, and quotability for AI consumption, rather than traditional SEO ranking.

This guide details the comprehensive workflow for distributing a single AI skill across various local agent skill directories (Codex, Claude, Pi, Hermes). It addresses canonical locations, symlink management, and specific synchronization commands to ensure that all agents detect the latest skill version while correctly navigating common development pitfalls.

Drafts high-engagement, long-form LinkedIn posts using 16 reverse-engineered hook formulas. Instead of writing randomly, the skill focuses on the desired outcome (comments, reposts, likes, or saves). It integrates the user's voice, adheres to modern formatting rules, and includes an AI-tell scrub pass to ensure the content reads authentically and humanly.

This skill builds and maintains a persistent index and dependency graph for all Architecture Decision Records (ADRs). It handles both v3-style and YAML plugin-style ADR formats, persisting records into the adr-patterns namespace and relationships (like supersedes, amends) into adr-edges. It is essential for bootstrapping ADR tracking, synchronizing the knowledge graph, or ingesting records from external projects, ensuring a single source of truth for architectural history.

A lightweight CLI tool for systematically comparing various coding AI agents (such as Claude Code, Aider, and Codex) head-to-head. It measures crucial metrics—pass rate, API cost, execution time, and consistency—on reproducible tasks defined via YAML manifests. Use this to objectively select the best agent for your codebase or to validate model updates before production deployment.

This skill provides comprehensive automation for managing GitHub workflows across the entire development lifecycle. It covers detailed issue triage, PR review status checks, CI/CD failure debugging, official release management, and security monitoring using the GitHub CLI. Ideal for maintaining open-source project health and streamlining team development processes.