Skill UI

A comprehensive guide on creating developer-centric changelogs and release notes. Learn how to structure updates using Semantic Versioning and the Keep a Changelog format. This skill helps communicate new features, breaking changes, deprecations, and performance improvements in a way that developers genuinely care about, building trust and demonstrating product momentum.

This skill is designed to accurately convert complex, Hugo-managed documentation sites and content into standard Markdown format. It goes beyond generic knowledge by inspecting the entire local Hugo repository structure, including `hugo.toml`, custom shortcodes, layouts, and content files. It preserves the original content's semantic meaning while materializing Hugo-specific constructs into clean Markdown.

This skill performs a deep comparison of two code versions to verify semantic equivalence, going beyond simple syntax diffing. It uses semi-formal tracing techniques to trace both versions against shared specifications and boundary conditions (e.g., null, zero, max/min). Ideal for confirming if a refactor, rewrite, or migration has unintentionally altered the code's behavior, answering the question: "Did I break anything?"

StyleSeed Design Review analyzes UI/frontend code (React/Tailwind/HTML) against a detailed design rubric. It scores the interface (0-100) across coherence, color discipline, hierarchy, and polish. The tool pinpoints specific violations—such as mixed corner radii or non-semantic colors—and generates a prioritized, actionable list of fixes, ensuring the final product looks professional and polished, not generic or 'AI-generated.'

A comprehensive guide for training or fine-tuning advanced sentence-transformer models. This skill assists in selecting the correct architecture—including Bi-encoders (SentenceTransformer), CrossEncoders (for reranking), and SparseEncoders—for various Natural Language Processing (NLP) tasks. Use cases include semantic retrieval, similarity matching, document clustering, and pair-wise classification.

This skill functions as an optional agent companion for MDPR, a deterministic Markdown-to-presentation runtime. It helps review presentation workflows by providing semantic hints, visual evidence reports, and high-level layout intentions. Crucially, it keeps agent output evidence-based while letting MDPR maintain control over final slide geometry, rendering details, and layout coordinates.

A constraint-based protocol designed to professionalize existing code by normalizing comments and performing safe, non-semantic cleanup. This skill converts informal, outdated, or missing documentation into clear, concise, and professional standards without altering the core logic or behavior. Ideal for preparing code for code review, open-sourcing, or formal documentation.

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.

Provides deep semantic code intelligence for Go projects using the official `gopls` language server. Key capabilities include jumping to definitions, finding references, visualizing call graphs, and performing sophisticated refactoring (extract, inline, rename). It is essential for navigating large Go codebases, understanding package dependencies, running diagnostics, and ensuring safe code modifications.

This skill guides the design, implementation, and auditing of inclusive digital products based on WCAG 2.2 standards. It covers the POUR principles and provides technical guidance for generating semantic ARIA (Web) and native accessibility traits (iOS/Android). Use it when defining UI components, auditing compliance gaps, or ensuring robust keyboard navigation and focus management.

A comprehensive tool for querying, storing, and managing complex knowledge across multiple agent sessions. AgentDB utilizes advanced techniques including semantic routing, hierarchical recall, causal graph construction, and context synthesis. Use this skill when your application requires robust, multi-faceted knowledge retrieval and reasoning based on structured and unstructured data. It provides a structured workflow for checking system health, starting sessions, storing knowledge in tiers (working, episodic, semantic), and searching learned patterns.

This comprehensive guide outlines industry best practices for designing robust and consistent REST APIs. It covers proper resource naming conventions, standardized HTTP method semantics, detailed HTTP status codes (e.g., 201, 404, 422), structured response formats (including pagination and links), and advanced strategies like cursor-based pagination. Essential for building scalable and maintainable APIs.