Skill UI

A two-layer skill combining disciplined coding practices with terse prose output. The THINK layer enforces surgical edits, simplicity, and goal-driven execution before writing code. The SPEAK layer compresses responses into 'caveman' style for token efficiency, removing filler words while preserving technical accuracy. Ideal for requests requiring brevity, token efficiency, or rigorous engineering discipline.

This skill identifies error-prone APIs, dangerous configurations, and footgun designs that enable security mistakes. It evaluates whether interfaces are resistant to developer misuse, focusing on algorithm selection, default values, primitive types, and configuration cliffs. Use when reviewing API designs, cryptographic library ergonomics, or assessing authentication interfaces to ensure secure-by-default principles are followed.

This skill reviews code differences (diffs) to identify opportunities for improvement in clarity, reusability, efficiency, and overall quality. It employs multiple specialized sub-agents (e.g., Code Reuse, Efficiency, Quality) to audit changes. It can provide high-confidence, behavior-preserving fixes when requested, ensuring the code adheres to best practices without introducing regressions. Best used when refactoring, cleaning up, or auditing a specific code scope.

This guide details the principles and implementation techniques for Skeuomorphism—the design style that makes digital interfaces resemble real-world physical objects. It covers core principles like realistic textures (wood, leather), physical lighting, depth, and real-world metaphors. Provides detailed code examples for Web (CSS), iOS (SwiftUI), and Android (Flutter) to achieve highly realistic, tactile UI elements.

Skill Sentinel audits and evolves a skills ecosystem by analyzing quality, security, cost, governance, documentation, dependencies, and cross-skill duplication, then generates health reports, recommendations, and orchestrates assessments for teams managing multiple automations.

A comprehensive guide for implementing soft pastel, low-contrast aesthetics across web, iOS (SwiftUI), and Flutter applications. Details include desaturated color palettes (mint, blush, lavender), rounded corner principles, airy spacing techniques, and specific CSS/SwiftUI code examples for achieving a calming, gentle user interface suitable for lifestyle or baby-related branding.

This skill provides guidance for quality-focused software development and architecture based on Clean Architecture and Domain Driven Design principles. It covers code style rules, best practices like library-first approach, naming conventions, separation of concerns, and avoiding anti-patterns to ensure maintainable and scalable code.

Freezes PRD, technical design, and acceptance criteria before medium-to-large Codex work, then coordinates multiple agents with explicit file ownership and judges delivery from diffs, tests, and evidence-backed acceptance.

Provide systematic methodologies for automated SQL injection detection and exploitation using SQLMap. Covers database enumeration, table and column discovery, data extraction, multiple target specification methods, and advanced exploitation techniques for various DBMS.

A quota-aware parallel subagent coordination skill for Antigravity 2.0. Decomposes large multi-file tasks into isolated agent missions, manages model selection based on cost, and ensures efficient parallel execution while monitoring quota usage. Ideal for complex projects spanning multiple files and components.

A comprehensive style guide for implementing the Synthwave and Outrun aesthetic across web and mobile applications. This guide details the core principles, including dark mode backgrounds, glowing neon accents (magenta, cyan), and the signature perspective grid. It provides technical examples using CSS, SwiftUI, Flutter, and React Native to achieve authentic retro-futuristic visual fidelity.

Expert TDD orchestrator for enforcing red-green-refactor discipline, coordinating multi-agent workflows, and applying modern test-driven development practices across software projects. Covers test suite architecture, AI-assisted test generation, metrics, and framework integration.