Skill UI

Generate comprehensive, absurdly thorough README.md documentation for any software project, covering installation, usage, configuration, and contribution guidelines.

A skill providing language-specific super-code guidelines for Ruby, covering enumerable collections, blocks, string handling, error handling, classes/modules, idioms, and anti-patterns. Ideal for developers writing idiomatic, efficient Ruby code.

This skill provides comprehensive guidelines for writing idiomatic and efficient Rust code. It covers key topics such as ownership, borrowing, error handling, iterators, pattern matching, structs, enums, and concurrency. It helps developers avoid common anti-patterns and adopt best practices for production-ready Rust applications.

Provides best practices and idiomatic patterns for Scala development, covering collections, pattern matching, case classes, Option handling, implicits, concurrency, and common anti-patterns.

Reference document for monopoly scale-benchmarks. Provides quick formulas for converting DAU to RPS, storage and bandwidth estimation, known scale limits of common technologies (databases, queues, caching), capacity planning by user scale (1K to 10M DAU), SLO targets, and latency budget guidelines. Useful for system design, capacity planning, and architecture decisions.

Guide for creating and updating AI agent skills with emphasis on Azure SDKs and Microsoft Foundry. Provides structured workflow, safety requirements, and validation guidelines for effective skill development.

This skill provides comprehensive guidelines for optimizing Postgres database performance and security. It covers query optimization, schema design, connection management, Row-Level Security, and concurrency handling. Use it when writing SQL, reviewing database configurations, or implementing indexes. Based on Supabase best practices to ensure efficient and secure database operations for production environments.

This skill provides comprehensive guidelines for writing idiomatic and efficient Swift code. It covers best practices for optionals, collections, value types, error handling, concurrency, and protocol-oriented design to improve code quality and maintainability.

This skill provides advanced guidelines for designing robust and effective tools specifically for autonomous AI agents. It shifts the focus from traditional developer APIs to contracts optimized for Language Models (LLMs). Key topics covered include treating tool descriptions as prompt engineering, implementing namespacing, applying the Consolidation Principle, and utilizing Architectural Reduction patterns (like file system access) to maximize agent reliability and workflow complexity.

Comprehensive guidelines for writing idiomatic and efficient TypeScript and JavaScript code. Covers array operations, destructuring, async patterns, type safety, React hooks, and common anti-patterns to improve code quality and maintainability.

This skill reviews UI code for design system compliance, accessibility standards, and best practices. It checks for hardcoded values, component conventions, mobile responsiveness, performance optimization, typography consistency, and visual coherence. It ensures code aligns with established design tokens and accessibility guidelines like WCAG.

Comprehensive design intelligence for web and mobile apps, offering searchable styles, color palettes, typography, UX guidelines, and chart recommendations across multiple stacks.