Skill UI

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.

This extension tracks how often your brand is cited or mentioned across leading Large Language Models (LLMs) like ChatGPT and Perplexity. It provides detailed time-series data, including citation rates and trend deltas (week-over-week, month-over-month). It is essential for SEO professionals to monitor brand authority and visibility within the rapidly evolving landscape of generative AI search results.

SE Ranking's advanced AI visibility analyst tracks a brand's Share-of-Voice (SOV) across major generative AI platforms, including ChatGPT, Gemini, and Perplexity. It goes beyond basic ranking by providing comprehensive metrics for brand mention citation rates in AI Overviews and AI Mode, alongside traditional SERP, backlink, and competitor gap analysis. Essential for modern digital marketing strategy.

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.

This skill provides expert capabilities for training and fine-tuning transformer language models using the TRL (Transformers Reinforcement Learning) library. It supports state-of-the-art post-training methods, including Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), Group Relative Policy Optimization (GRPO), and Reward Model training. Use this skill to align and customize foundation models for advanced tasks via CLI commands.

A fast, grep-based linter that checks for common design system violations in CSS and component code, such as hardcoded colors, raw pixel values, and deprecated syntax. It provides immediate automated feedback to ensure code adheres to established design tokens and best practices.

This skill provides a quantified design audit (0-100) for UI files based on StyleSeed's comprehensive design language. It breaks down the score into weighted categories (Color, Typography, Layout, etc.), identifies specific design violations, and generates a prioritized list of fixes, acting as a critical quality gate before deployment.

This skill automatically rewrites raw commit messages to adhere to professional engineering standards. It strips out common 'AI/marketing slop' phrases (like 'robust implementation' or 'leverage') while strictly maintaining the Conventional Commits format. It ensures subjects are concise, bodies provide necessary context (why, breaking changes), and the tone is direct and actionable, making your project history clean and readable.

Rewrites overly formal or vague code review comments generated by AI or corporate tools. It cuts out filler phrases like "I noticed..." or "It might be worth considering...", transforming them into direct, actionable feedback. The output uses a clear format (Location: Severity: Observation. Fix.) that sounds like it came from a helpful, experienced teammate, significantly improving the quality and reception of PR feedback.