Skill UI

Generate optimized, production-ready visual assets for critical SEO needs, including Open Graph images, blog heroes, product shots, and infographics. This toolkit uses advanced AI models to ensure correct aspect ratios, resolutions, and domain modes for maximum search engine visibility. It provides a comprehensive post-generation SEO checklist covering alt text, schema markup, and WebP optimization.

A comprehensive guide covering best practices for the Vite build tool. Learn how to configure advanced features such as environment variables, plugins, HMR, dependency pre-bundling, and optimizing the final production build for modern web applications.

Provides a comprehensive toolkit for integrating X API functionality into applications, data pipelines, and AI agents. Features include robust tweet searching, user profile lookups, timeline fetching, media downloading, and webhook monitoring. Supports multiple languages via official SDKs, REST APIs, and MCP server integration for advanced automation workflows.

Comprehensive patterns and tools for writing robust tests for F# applications within the modern .NET ecosystem. This guide covers unit testing (xUnit, FsUnit), property-based testing (FsCheck), mocking dependencies (NSubstitute), and full integration testing (WebApplicationFactory). Ideal for improving test coverage, validating complex business logic, and establishing a resilient testing infrastructure.

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 expert simulates an experienced design system author for Ant Design, specializing in structured, enterprise-focused, data-dense web applications. It generates comprehensive, implementation-ready guidelines covering design tokens, component anatomy, interaction states, accessibility requirements (WCAG 2.2 AA), and content standards, ensuring maximal clarity and consistency for development and design teams.

Skill Scout is a crucial pre-creation workflow designed to prevent the duplication of effort. Before building a new skill, it systematically searches local, marketplace, GitHub, and web sources. It not only finds potential matches but also rigorously vets them for security, maintenance status, and relevance, providing the user with clear options: Use Existing, Fork/Extend, or Create New.

Create a single-file HTML presentation with horizontal swipe navigation, WebGL backgrounds, and two visual modes: Magazine/E-Ink and Swiss Style. Ideal for talks, product launches, and shareable web slides.

A comprehensive guide for integrating Microsoft Graph SDK into applications. It covers accessing Microsoft 365 data (users, mail, calendar, Teams, SharePoint) from various languages (.NET, Python, TypeScript). Key topics include robust authentication patterns (Managed Identity, OBO), advanced data retrieval techniques like pagination, delta queries, batch requests, and setting up change notifications via webhooks. Learn best practices for secure and efficient API interaction.

This skill searches GitHub and the web to discover the latest Japanese Natural Language Processing (NLP) resources, tools, and libraries (e.g., NER, LLM, TTS) that are not yet included in the awesome-japanese-nlp-resources list. It is designed for developers and researchers who want to track the cutting edge of Japanese language technology or prepare a contribution.

Combines a curated Japanese NLP resource dataset with live web research to produce an up-to-date trend report on models, tooling, benchmarks, embeddings, speech, and related subfields.

This skill generates a comprehensive issue report on the current challenges, limitations, and open problems within Japanese Natural Language Processing (NLP) for a specified topic. By combining knowledge from a curated local dataset with real-time web search, it provides a deep dive into ongoing research gaps, evaluating the state-of-the-art and recommending areas for future work.