Skill UI

This skill provides comprehensive, programmatic automation capabilities for the Telegram platform via Rube MCP. Users can manage virtually every aspect of Telegram interaction, including sending various media types (text, photos, documents), retrieving detailed chat information, listing members, editing and deleting messages, and setting custom bot commands. It is essential for building sophisticated, automated bot workflows and integrations.

A comprehensive guide covering best practices for Terraform and OpenTofu. It provides structured advice on module hierarchy, directory organization, naming conventions, and advanced testing strategies (including native testing and policy as code). Use this skill when designing, refactoring, or implementing robust Infrastructure as Code (IaC) pipelines and multi-environment deployments.

This guide outlines best practices for writing effective, meaningful unit and widget tests for Flutter and Dart applications. It emphasizes ensuring test validity (that tests can actually fail when code is broken), structuring tests using `group()`, and following clear naming conventions (e.g., 'should...') to catch real regressions and maintain high code quality.

This skill systematically reviews test code to identify and correct common anti-patterns. It detects issues such as flaky tests, overly mocked dependencies (over-mocking), brittle assertions, excessive test size (The Giant), and structural dependencies. It explains the flaw, provides best practices, and suggests refactored, reliable implementations, helping maintain high test quality and stability.

Generates concise TLDR-format summaries for GitHub Copilot customization files, MCP server docs, or related URLs, ensuring actionable examples and context-aware verbosity for inline or chat view sessions.

This comprehensive tool suite provides programmatic automation for Todoist task management. Users can manage the entire task lifecycle, including creating, updating, completing, and deleting tasks. It also supports structured organization by managing projects and sections, and filtering tasks using advanced workflows. Ideal for integrating task management into automated business processes or applications.

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.

Enforces modern TypeScript patterns during development and reviews, guiding const usage, explicit return types, interface-driven shapes, and avoiding any/var or ignored errors.

A comprehensive scaffold generator for building Model Context Protocol (MCP) servers using TypeScript and Node.js. This tool provides a complete, production-ready boilerplate, including proper project structure, dependency management (e.g., @modelcontextprotocol/sdk, zod), and implementation details for tools and resources. It supports both HTTP and stdio transport mechanisms, ensuring type safety, robust error handling, and best practices for modern backend development.

This tool generates a complete, structured TypeSpec declarative agent definition tailored for Microsoft 365 Copilot. It systematically creates necessary components including detailed role instructions, conversation starters, and a comprehensive list of required capabilities (e.g., WebSearch, OneDrive, Teams, CodeInterpreter). This ensures the agent is fully functional and ready for deployment within the M365 ecosystem.

Audits StyleSeed components/pages for WCAG 2.2 AA accessibility gaps and applies practical fixes for touch targets, focus states, contrast, labels, and reduced-motion behaviors in Toss-inspired mobile UI patterns.

Generates reusable UI patterns such as card sections, grids, lists, filters, and chart wrappers by composing StyleSeed Toss primitives so layout-heavy pages share deliberate structure, props-driven data, and consistent tokens.