Skill UI

This skill converts dense text, articles, or complex notes into clean, highly structured, and hierarchical bullet points. It is ideal for summarization, academic studying, or creating organized notes where strict readability and clear parent-child relationships are required. It eliminates prose and paragraphs, enforcing a pure bullet format for maximum structural clarity and memorization.

Clarity Gate is a pre-ingestion verification system designed for Retrieval-Augmented Generation (RAG) workflows. It ensures documents entering knowledge bases are properly qualified by checking for uncertainty markers and distinguishing assumptions from facts. This skill produces Clarity-Gated Documents (CGD) and validates Source of Truth (SOT) files. It helps prevent hallucinations by enforcing epistemic quality standards before data ingestion. Note that it verifies document form rather than factual truth, requiring human-in-the-loop validation for accuracy.

This skill simplifies and refines code to enhance clarity, consistency, and maintainability without altering functionality. It applies project-specific best practices to improve readability, reduce complexity, and align with coding standards. Ideal for cleaning up recently modified code or optimizing existing logic for better structure.

A comprehensive guide for designing and implementing professional, data-driven dashboards across web, iOS, and Flutter. It details core principles like modular grid layouts, establishing data hierarchy (KPIs, charts), and maintaining minimalist aesthetics. Includes specific code examples using CSS Grid, SwiftUI, and Flutter widgets to ensure optimal user experience and data clarity.

This skill explains concepts using Socratic-style dialogue, guiding users toward understanding through reflective reasoning and thought experiments rather than direct lectures. It employs a single simple analogy to illuminate ideas and asks reflective questions to encourage active thinking. Suitable for teaching technical ideas, clarifying theories, or exploring abstract concepts. The goal is to help users arrive at clarity through their own reasoning process, maintaining a patient and curious tone throughout the conversation.

This AI-powered skill enables users to upscale and enhance the resolution of images and videos. It improves visual quality by increasing pixel density and clarity through advanced machine learning models. Suitable for content creators, developers, and professionals needing higher resolution media assets for various applications.

This skill helps you create high-quality pull requests that facilitate efficient code reviews. It generates comprehensive PR descriptions, automates review processes, and ensures PRs follow best practices for clarity, size, and reviewability. Ideal for developers working on code integration tasks.

Transform messy meeting notes and transcripts into structured action items, decisions, and follow-ups. Ideal for corporate teams needing accountability and clarity from meetings.

Proofreads and corrects grammar, spelling, punctuation, clarity, and tone while preserving the author's voice. Supports inline text and file processing modes, returning corrected text with a modification log or saving an updated file with 'UPDATED_' prefix.

This skill reviews git diffs or specific file scopes for code reuse, quality, efficiency, clarity, and standards compliance. It optionally applies safe, behavior-preserving fixes. It uses parallel read-only sub-agents to inspect code while the main agent applies changes. Suitable for auditing changes, simplifying code, or refactoring.

This skill reviews code differences (diffs) to identify opportunities for improvement in clarity, reusability, efficiency, and overall quality. It employs multiple specialized sub-agents (e.g., Code Reuse, Efficiency, Quality) to audit changes. It can provide high-confidence, behavior-preserving fixes when requested, ensuring the code adheres to best practices without introducing regressions. Best used when refactoring, cleaning up, or auditing a specific code scope.

This tool audits the activation metadata of coding skills used by AI agents. It grades skills (A-F) based on description clarity, simulates which skill a prompt will trigger, and identifies metadata collisions where one skill might silently overshadow another. It is essential for ensuring robust, predictable, and reliable AI agent behavior during development and CI processes.