Skill UI

This tool generates a comprehensive and legally compliant patent specification document. It takes primary inputs—such as drafted claims and invention disclosures—and structures the full document, including the title, technical field, background, summary, detailed description, and abstract. It supports various international jurisdictions (CN, US, EP), ensuring the output meets rigorous patent drafting standards.

This technique guides users on how to use visual descriptions from music videos (MV), such as specific scenes, emotional themes (grief, loss), or real-world events, as powerful search anchors. Instead of only searching by title or artist, users can extract keywords from the visual narrative to refine search queries, significantly increasing the chances of identifying the correct song or tracing its origin. Ideal for music research and cultural analysis.

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.

A comprehensive guide providing advanced strategies and tactics for Search Engine Optimization (SEO). Use this skill for conducting deep SEO audits, detailed keyword research based on search intent, optimizing on-page elements (titles, meta descriptions), implementing technical SEO fixes (Core Web Vitals, crawlability), and building robust link acquisition strategies to achieve sustainable organic traffic and visibility.

This comprehensive tool performs a deep audit on App Store and Google Play listings, assessing metadata, visual assets, and market performance. It analyzes titles, descriptions, keywords, and screenshots against industry best practices, while also factoring in the app's brand maturity (Dominant, Established, Challenger). The output is a highly prioritized, actionable plan to improve search visibility, ranking, and user conversion rates. Ideal for optimizing existing apps or competitive analysis.

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.

This comprehensive skill provides a full workflow for creating high-quality, annotated animated GIFs and screen recordings. It supports capturing multi-step UI interactions using Playwright, assembling dynamic GIFs with imageio, applying variable frame timing, and adding sophisticated annotations (including fade-in effects) for clear documentation, pull request descriptions, or release note demos.