Skill UI

This advanced AI skill converts raw study materials—such as syllabi, past exam papers, or personal notes—into a structured, prioritized, and difficulty-ranked High Score Roadmap. It covers all key question types (Theory, Numerical, MCQ, Coding, Lab) and optimizes study flow by ordering topics from Easy to Hard. Use it for targeted revision, gap analysis, and predicting high-yield exam questions.

This skill identifies bugs, security vulnerabilities, and code quality issues in local branch changes. Designed for reviewing code diffs, auditing security, and ensuring integrity before deployment. It involves mapping attack surfaces, checking checklists like injection and XSS, and verifying fixes without modifying code unless authorized.

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 skill maps engineering changes (code diffs, architecture designs, IaC) to specific financial compliance controls, such as PCI-DSS v4.0 and MAS TRM. It generates an auditable report detailing compliance gaps, required evidence, and concrete remediation steps, helping teams catch violations before formal audits.

Provides core game design principles including core loop design, game design document structure, player psychology, difficulty balancing, and progression systems. Ideal for prototyping engaging game mechanics and evaluating playtests.

Delegate well-specified implementation tasks to xAI's Grok Build CLI running headlessly while the orchestrating agent plans, writes task specs, reviews every diff, and owns the final result.

Provides Apple Human Interface Guidelines for navigation components like search fields, page controls, and path controls. Covers placement, behavior, and platform differences for iOS, iPadOS, and macOS.

This skill provides guidance on Apple's Human Interface Guidelines for designing user interfaces across different Apple platforms including iOS, iPadOS, macOS, tvOS, visionOS, and watchOS. It covers key principles like touch-first interaction for mobile, pointer and keyboard usage for desktop, and spatial interaction for visionOS. It helps developers and designers adapt layouts, navigation, and interactions to match platform conventions and user expectations, ensuring a native feel and consistent brand experience.

This skill guides users on running evaluations against models on the Hugging Face Hub using local hardware. It covers using inspect-ai and lighteval frameworks with local inference backends like vllm, Transformers, or accelerate. It includes task selection, smoke testing, and hardware guidance for different model sizes. It does not cover remote orchestration or publishing results to the community workflow.

This skill helps you select and run large language models locally using llama.cpp and GGUF formats. It covers finding compatible models on the Hugging Face Hub, choosing quantization levels for different hardware like CPU, Mac Metal, CUDA, or ROCm, and launching servers via llama-cli or llama-server. It also includes instructions for converting weights and verifying OpenAI-compatible local serving endpoints.

Hunt LDAP injection and XPath injection vulnerabilities in web applications. Covers authentication bypass, blind attribute exfiltration, and Active Directory vs generic LDAP differences. Includes attack surface signals, filter grammar, and authorized-use guidance.

Identify shadow, zombie, and undocumented API endpoints by enumerating versioned paths, diffing specs, and comparing old vs current security behavior. For authorized OWASP API9 assessments.