Skill UI

This comprehensive guide provides core principles and implementation patterns for adopting the Flat Design aesthetic. It details how to build interfaces across web (CSS), mobile (SwiftUI, Flutter), and cross-platform frameworks, emphasizing zero depth, sharp geometries, and high-contrast solid colors while strictly avoiding shadows, gradients, and bevels. Use this when aiming for a modern, minimalist, and clean UI/UX experience.

A comprehensive guide for implementing Flat Design 2.0 (Semi-Flat). This style maintains the clean, solid aesthetic of flat design while introducing subtle, diffuse shadows and micro-gradients to enhance perceived depth and communicate element interactability (e.g., buttons, cards). It provides detailed, cross-platform code examples for Web (CSS), iOS (SwiftUI), Flutter, and React Native.

This comprehensive guide provides technical implementations for achieving a modern 'Layered Design' aesthetic. It teaches developers how to create depth, intentional overlapping, and clear stratification across various platforms. Includes detailed code examples for CSS, SwiftUI, Flutter, and React Native to build complex, dimensional user interfaces.

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.

A comprehensive guide for implementing user interfaces that mimic spatial computing devices (like Apple Vision Pro). It focuses on creating digital elements with a sense of depth (Z-Space), utilizing glass-like materials via backdrop blur, and designing gaze-aware interactions, making digital information feel physically anchored in the real environment.

A comprehensive guide and shared vocabulary for designing and structuring complex software modules. Use this when you need to refine an existing module's interface, identify opportunities for deepening its capabilities, determine optimal internal seams, or improve code testability and AI-navigability. It establishes clear principles for Module, Interface, Depth, and Seam.

This workflow is designed to rigorously stress-test any plan, design, or architectural concept before implementation. It acts as a demanding interviewer, asking deep, cascading questions one at a time to identify hidden dependencies, resolve ambiguities, and ensure comprehensive coverage. Use this when you need to validate a concept against all possible failure modes or explore every corner of a complex system design.

This skill implements the LLM Council concept, enabling multiple open-weight language models to collaborate on complex queries. The process follows a three-stage deliberation: 1) Parallel independent responses from selected models; 2) Peer-to-peer ranking of the responses; and 3) Final synthesis by a designated Chairman LLM. Powered by Fireworks AI, it ensures deep, multi-faceted analysis and consensus building for high-stakes decision support.

Use Mailtrap Email Sandbox to capture and inspect outbound emails without sending them to real recipients. This is crucial for development, staging, and CI/CD environments. It allows developers to test email content, headers, attachments, and spam scores using dedicated APIs, SMTP settings, or SDKs, ensuring mail integrity before deployment. Ideal for automation and rigorous quality checks.

This tool evaluates how thoroughly a feature implementation meets product requirements (PRDs) or specifications. It scores acceptance criteria case-by-case, independently grading both the code implementation and the associated test coverage (unit and E2E). Ideal for benchmarking multiple development efforts, auditing adherence to specifications, or determining if a feature is 100% complete and compliant with the ground truth PRD.

This meta-skill provides a comprehensive framework for the entire lifecycle of AI agent skills. It supports creating, refactoring, rigorously evaluating (e.g., Skill OS 2.0 Gates), and securely packaging skills from various sources like workflows, prompts, and documents. It ensures standardized, team-ready, and governed deployment of advanced AI capabilities.

This guide details the process of deploying and configuring Proofpoint Email Protection, a cloud-native Secure Email Gateway (SEG). It establishes a critical security checkpoint for all mail traffic, protecting users from advanced threats including phishing, malware, Business Email Compromise (BEC), and spam. The implementation covers architectural planning, advanced threat defense (sandboxing, ML classifiers), and compliance with protocols like DMARC, SPF, and DKIM.