Skill UI

This comprehensive skill guides the creation of high-quality technical content specifically tailored for developers. It covers the entire devrel content lifecycle: from researching topic validation (community signals, competitor gaps) to selecting the ideal content type (tutorial, guide, case study). The framework emphasizes deep technical accuracy, structured outlines (Hook, Meat, CTA), and writing runnable, copy-paste ready code examples to build trust and drive adoption.

This skill provides comprehensive access to the Hugging Face Hub ecosystem via MCP server tools. Users can search for state-of-the-art models, datasets, and research papers, retrieve detailed repository information, fetch documentation, run compute jobs on GPU/CPU, and interact with Gradio Spaces as fully functional AI tools. Ideal for ML development, research, and application prototyping.

This professional tool helps developers and researchers identify the optimal AI model for a specific task, such as coding, reasoning, or image recognition. It queries official HuggingFace leaderboards, filters models based on hardware constraints (e.g., available VRAM or RAM), and provides a detailed comparison table including benchmark scores, parameter size, and licensing information.

This skill provides deep, cross-border financial analysis and valuation metrics for stocks across multiple markets (e.g., US, HK). Users can access detailed income statements, balance sheets, cash flow data, analyze business segments, compare valuation multiples (PE, PB), run sophisticated DCF models, and perform value screening. It is an essential tool for fundamental research, investment modeling, and corporate analysis.

This skill connects to the official Ahrefs API to provide comprehensive, live SEO analytics. Users can execute detailed queries to analyze domain authority, backlink profiles, organic keyword rankings, and content performance metrics. It is essential for deep market research and content strategy validation.

A powerful plugin that allows Claude to delegate tasks to various external AI Command Line Interfaces (CLIs), such as OpenAI Codex and Google Antigravity. Use this skill to seek a 'second opinion,' cross-check analysis, or execute side tasks (like research or validation) from multiple model families (Gemini, GPT-OSS) without leaving the main session. It synthesizes and critiques the results, providing a comprehensive, multi-perspective view.