Skill UI

This skill assists developers in understanding, writing, and validating EAS workflow YAML files for Expo projects. It provides comprehensive guidance on CI/CD pipelines, job definitions, triggers, and expression syntax, ensuring configurations are accurate and up-to-date by referencing official Expo schemas. Use this when automating builds or deployments via EAS.

Use this guide to build and manage Expo development clients using EAS Build. This is the recommended setup for production-grade testing, allowing developers to test custom native code, local modules, and advanced features that exceed Expo Go's capabilities. It covers local builds, TestFlight submission, and connecting to the Metro bundler.

This script automates the generation of a complete set of favicons (including favicon.ico, various PNG sizes, and SVG) from a single source image. It intelligently detects the project framework (e.g., Next.js, Rails, Gatsby) to place assets in the correct static directory, generates the necessary webmanifest, and updates the project's HTML/layout files with the proper link tags.

This skill provides comprehensive guidelines and automated checks for auditing and fixing HTML accessibility violations. It covers critical WCAG areas including proper ARIA labeling, full keyboard navigation support, focus management for modals and dialogs, color contrast adherence, and robust form error handling. Use it when developing any interactive UI component or reviewing existing code for accessibility compliance.

This tool automates the creation of production-ready End-to-End (E2E) tests using the Playwright framework. Users can provide natural language descriptions (like user stories, feature names, or component paths) to automatically generate comprehensive test suites. It follows best practices, including utilizing role-based locators, structuring tests with setup/act/assert phases, and generating supporting files like page objects and fixtures for maintainability.

This skill fetches unread GitHub Pull Requests (PRs) that require review from a specified team or were opened by a team member. It is ideal for users who need to check their team's review queue, find PRs needing attention, or automate the process of reviewing open code submissions without manually browsing GitHub notifications. Requires GitHub CLI authentication.

A lightweight integration for automating Google Docs tasks. It allows users to programmatically create, read, search, edit, append, and replace content in Google Workspace documents. With standalone OAuth authentication, it is ideal for local scripts that require direct document content manipulation without relying on a centralized server.

A lightweight integration providing full read/write access to Google Slides presentations. This tool allows users to programmatically create, inspect, modify, and extract content (including text and tables) from Google Workspace documents. Perfect for local automation tasks requiring full control over presentation structure and content without needing a dedicated server.

A comprehensive tool for analyzing long-term health data, tracking trends across multiple dimensions such as weight, vital signs, symptoms, medication adherence, lab results, and mood. It identifies significant changes, correlations between lifestyle factors and health metrics, and provides data-driven insights, risk assessments, and predictive recommendations for proactive health management.

This skill provides comprehensive tools for documenting and managing model performance on Hugging Face. It supports multiple methods for adding structured evaluation data, including extracting tables from README content, importing benchmark scores via APIs (like Artificial Analysis), and executing high-performance custom evaluations using advanced backends such as vLLM or lighteval. It ensures that all metadata is structured and compatible with model leaderboards and industry standards.

This utility is designed to build reusable, composable command-line scripts for interacting with the Hugging Face API and the `hf` command line tool. It enables complex data workflows by supporting chaining, piping, and intermediate processing across models, datasets, and repositories, streamlining the automation of Hub tasks.

Provides setup logic for integrating WhatsApp services, likely linking messaging workflows for automation or notifications.