Skill UI

This skill manages comprehensive software development life cycle operations—including issue triage, PR reviews, version releases, bug fixing, and marketing content generation. It operates using a parallel "agent army" of dynamic agents (10-20 per task), requiring the user to adopt an Engineering Manager (EM) mindset. Key principles involve rigorous citation checking (anti-hallucination) and applying multiple roles (Product Owner, Open Source Contributor, Architect) simultaneously to ensure robust, safe, and user-centric outcomes across all platforms.

Master the art of creating, maintaining, and running robust end-to-end (E2E) tests for Flutter applications using the Patrol framework. This skill covers validating complex user journeys, testing interactions with native system features (like permissions and deep links), capturing UI regressions, and ensuring consistent cross-platform behavior across Android, iOS, and Web. Best practice guidelines for deterministic testing are included.

This comprehensive guide provides detailed procedural steps for configuring and executing CodeQL code scanning. It covers both implementing automated workflows using GitHub Actions (`codeql.yml`) and running scans via the CodeQL CLI. Users will learn how to manage language matrices, set build modes, interpret SARIF outputs, handle monorepo structures, and troubleshoot complex security analysis setups across multiple languages (e.g., Python, Java, C++).

This expert system generates a comprehensive and best-practice-oriented .editorconfig file. It analyzes the project structure and user preferences to enforce coding style consistency (e.g., spaces vs. tabs, indentation size, line endings, trailing whitespace) across diverse IDEs and text editors. Essential for maintaining clean, standardized code across development teams and version control systems.

Automates installing and configuring language servers for Copilot CLI, detecting the OS, merging user or repo configs, and validating binaries so go-to-definition, hover, and other code intelligence work across languages.

This skill enables advanced interaction with browser automation using the Chrome DevTools Protocol (CDP). Use it when the user needs to explicitly connect to a running browser instance, scan for available CDP ports, specify a fixed debug port, or share a single browser session across multiple tools. It is designed for advanced automation scenarios, distinct from simple browser launching.

A comprehensive toolkit designed to automate virtually all interactions with the Twitter/X platform via Rube MCP. It supports creating, managing, and deleting posts; performing advanced searches across recent or full archives; looking up user profiles by ID or username; managing bookmarks and lists; and interacting with content (liking/unliking). Essential for integrating social media management into automated workflows.

This skill is designed to manage design tokens within a design system, ensuring that the source-of-truth files—including JSON manifests, CSS variables, and dark-mode values—remain perfectly synchronized. It allows users to list, safely add, or update tokens (like colors, shadows, or spacing) while automatically propagating changes across all implemented files, maintaining system integrity.

A comprehensive automation toolkit designed to manage the entire Vercel deployment lifecycle and associated infrastructure. Users can programmatically monitor, trigger, and manage deployments, configure custom domains and DNS records, manage environment variables across multiple targets, and oversee project settings and project listings. Essential for implementing robust CI/CD pipelines and managing cloud infrastructure.

A powerful utility for performing semantic searches across a large knowledge base of 105K+ skill cards. It allows users to find the most relevant skills based on natural language queries, supporting both Python API integration and Command Line Interface (CLI). This tool is zero-dependency and highly efficient for skill discovery and knowledge retrieval in development workflows.

PyLabRobot is a vendor-agnostic, pure Python SDK designed for controlling complex, autonomous laboratory workflows. It provides a unified interface to manage diverse equipment—including liquid handlers (Hamilton, Opentrons, Tecan), plate readers, pumps, and shakers—enabling users to simulate, develop, and execute reproducible, multi-device protocols across different operating systems.

This utility provides a structured way to manage and separate notes across multiple accounts and environments within Apple Notes. By utilizing distinct accounts (e.g., iCloud for Production, 'On My Mac' for Development), users can ensure absolute data isolation between development, staging, and live production data. It is crucial for maintaining clean separation in complex development workflows and QA testing scenarios.