Skill UI

This skill acts as an expert assistant for the Makepad DSL (Domain Specific Language) used with the Rust `makepad-widgets` crate. It helps users generate correct DSL code, explain complex syntax rules (like inheritance and property overriding), and understand how to link standard Rust structures to UI definitions. Ideal for developing complex, live-designed user interfaces within the Makepad framework.

A comprehensive, multi-phase security audit tool designed to evaluate AI agent skills before deployment. It detects critical vulnerabilities, including prompt injection, malicious code, excessive permissions, secret exposure, and supply chain risks, ensuring the integrity and safety of your agent environment.

A comprehensive enterprise-grade security engine designed to discover, classify, protect, and govern all credentials, API keys, and secrets across the entire application lifecycle. It provides continuous governance by auditing code repositories, CI/CD pipelines, runtime logs, and infrastructure configurations to prevent exposure and enforce least privilege principles. Ideal for implementing DevSecOps best practices.

Aggregates Uncle Bob’s Clean Code, Architecture, Coder, Agile, and design-pattern guidance to evaluate reviews, refactors, and architecture decisions, and to surface professionalism heuristics without replacing your linter or formatter.

This skill provides a comprehensive framework for designing and reviewing native iOS applications. It covers adherence to Apple's Human Interface Guidelines (HIG), ensuring consistency across layout, typography, safe areas, and system components (e.g., Dynamic Island). Use this when building or reviewing SwiftUI/UIKit code to guarantee the app feels intuitive, highly polished, and genuinely native to the Apple ecosystem.

A powerful code review utility designed for SwiftUI projects. It comprehensively analyzes code quality, ensuring adherence to modern Swift APIs, optimal performance, robust data flow management, and compliance with Apple's Human Interface Guidelines and accessibility standards (like VoiceOver and Dynamic Type). Use this tool when writing, refactoring, or reviewing complex SwiftUI implementations to maintain high code hygiene and maintainability.

A comprehensive toolkit designed for cybersecurity professionals to deobfuscate malicious JavaScript code. It reverses complex encoding layers (Base64, Hex, Unicode), eval chains, and control flow obfuscation techniques found in phishing pages, web skimmers, and dropper scripts, revealing the original malicious logic for thorough forensic analysis and threat intelligence gathering.

A specialized Intrusion Detection System (IDS) designed for Operational Technology (OT) and Industrial Control Systems (ICS). It monitors Modbus TCP/RTU traffic to detect unauthorized write operations, anomalous function codes, malformed frames, and deviations from established communication baselines. Essential for securing SCADA environments against attacks like FrostyGoop.

This skill provides a systematic cryptographic audit tool designed to review applications for security vulnerabilities. It scans source code and configuration files to detect weak hashing algorithms (MD5, SHA-1), insecure cipher modes (ECB), hardcoded secrets, and deprecated protocols like TLS 1.0. Essential for security assessments, compliance checks, and maintaining secure coding practices.

This automated toolkit streamlines memory forensics using the Volatility3 framework. It is designed to analyze raw memory dumps from Windows, Linux, and macOS, revealing complex threats such as process injection, hidden rootkits, malicious code artifacts, and illicit network connections that traditional disk-based methods cannot detect. Essential for real-time incident response and deep security auditing.

Guides users through a structured 23-step interview to design, generate, and deploy Claude plugins across claude.ai and Claude Code, handling activation prompts, platform quirks, and GitHub pushes.

A comprehensive 7-stage workflow designed to manage, audit, and optimize GitHub repositories. This tool automates critical tasks including identifying hardcoded secrets, cleaning up junk files, performing deep documentation reviews, benchmarking against competitors, and validating the final state, transforming messy codebases into production-ready assets.