Skill UI

Automates creating a single GitHub feature issue from a specification file, checking existing issues first, filling title/description/labels per feature_request.yml, and including only spec-mandated changes.

This tool performs a comprehensive audit of website images to ensure optimal SEO and web performance. It checks for proper alt text descriptions, recommends modern formats (WebP, AVIF), validates file sizes, and verifies responsive image implementation using `srcset` and `sizes`. Furthermore, it guides best practices for lazy loading, prioritizing LCP images, and preventing Cumulative Layout Shift (CLS) by checking for dimensions.

This skill converts complex technical descriptions, such as system architectures, data flow diagrams, flowcharts, and sequence diagrams, into professional, production-quality SVG diagrams. It supports various technical models, including Agent and Memory architectures, and exports the final output as high-resolution PNG files for seamless documentation and presentation use.

Automates the compilation of a complete patent application from source files into legally compliant, filing-ready formats for major global patent offices (CNIPA, USPTO, EPO). This tool handles the complex, jurisdiction-specific rules for claims structuring, technical field description, specification ordering, and abstract formatting, ensuring consistency across multiple national standards. Users can specify the required jurisdictions (China, US, Europe) and output format (Markdown or DOCX).

This skill acts as a Senior Solution Architect specializing in the Microsoft Power Platform ecosystem (Power Apps, Power Automate, Power BI, etc.). It excels at analyzing unstructured input, such as meeting transcripts or high-level use case descriptions, and generating a comprehensive technical solution architecture. The output includes component selection, detailed implementation steps, and visualizations (e.g., Mermaid.js diagrams) required to build a robust digital solution.

This skill provides a comprehensive, structured process for creating and documenting new AI agent skills. It guides the user through gathering requirements, drafting structured files (like SKILL.md, REFERENCE.md), and optimizing descriptions to ensure the agent can correctly identify and utilize the new capability. Use when you need to build, write, or refine a complex, functional skill module for an AI agent.

This skill analyzes the comprehensive commit history between two branches to generate a concise, objective, and highly structured Pull Request (PR) description. It automatically groups changes by domain, summarizing the purpose, technical notes, and user impact, ensuring consistency and minimizing manual documentation effort.

This skill analyzes raw git diffs or change descriptions to generate clear, story-driven commit messages. It strictly adheres to the Conventional Commits specification, ensuring that messages thoroughly explain *why* a change was made, not just *what* changed. It is ideal for writing meaningful commit history, preparing pull requests, or summarizing complex code changes for team collaboration.

Automates the process of monitoring on-page SEO health. It captures comprehensive baselines of SEO-critical elements—including titles, meta descriptions, H tags, Open Graph tags, and Core Web Vitals—and detects any regressions or unexpected changes over time. Use this tool after deployments, content updates, or major structural changes to ensure SEO consistency.

This guide provides a comprehensive framework for authoring new, structured AI agent skills. It details a three-phase workflow, including gathering requirements, drafting the main instructions (SKILL.md), and ensuring optimal structure. It emphasizes best practices for descriptions, scripting, and file splitting to improve agent reliability and usability.

A powerful Python skill for adding professional callouts, arrows, and labels to various images, including screenshots, diagrams, and architecture documents. It allows users to visually highlight specific areas or changes. The advanced `annotate.py` module provides algorithmic label placement, optimizing for readability and preventing overlaps. Ideal for creating clear PR descriptions, documenting changes, or building annotated demo assets.

A comprehensive guide on embedding before-and-after screenshots directly into pull request descriptions. This skill helps reviewers visualize UI changes, layout adjustments, and data visualizations instantly, without needing to check out the branch. Includes best practices for image sizing, structured Markdown patterns, and specific API/upload guidance for Azure DevOps and GitHub.