Skill UI

This comprehensive guide walks new engineers through setting up a complete local development environment from scratch. It covers all necessary prerequisites, including installing required tools (Git, Docker, Go, etc.), cloning repositories, configuring environment variables, and running initial tests. The goal is to ensure a consistent, working environment and allow new team members to start contributing code quickly and confidently.

This skill automates the creation of high-quality, structured pull request descriptions. By analyzing git diffs, commit lists, or raw changes, it generates comprehensive sections covering the summary, motivation, specific changes, detailed testing procedures, and crucial reviewer guidance. Use it to ensure every code change is fully documented for effective peer review.

A comprehensive style guide for implementing the Cyber Y2K aesthetic across web and mobile applications. This design package captures the retro-futuristic blend of late 90s/early 2000s digital culture, modern glitch art, and iridescent holographic gradients. It provides detailed code examples using CSS, SwiftUI, and Flutter to achieve key effects like RGB splitting, animated gradients, and aggressive vector typography.

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.

This comprehensive guide provides developers with the foundational principles and actionable code examples for implementing the Y2K aesthetic. Learn how to achieve the signature look—incorporating chrome metallic effects, amorphous blob shapes, digital grid backgrounds, and neon glows—across web (CSS), iOS (SwiftUI), and cross-platform (Flutter) environments.

This skill scaffolds the necessary configurations for advanced engineering workflows. It guides the user through setting up the issue tracking system (GitHub, GitLab, or local markdown), defining the canonical triage label vocabulary, and establishing the domain documentation context (single or multi-context). It must be run once to initialize the repository for subsequent agent-driven development skills.

This guide details the forensic process of extracting sensitive credentials, including password hashes, Kerberos tickets, and authentication tokens, from memory dumps. Utilizing industry-standard tools like Volatility and Mimikatz, this technique is crucial for incident response, determining the scope of a breach, and identifying compromised accounts during digital forensics investigations.

A comprehensive guide for digital forensics professionals to analyze raw email headers. It details techniques for tracing the true origin of suspicious emails, verifying sender authenticity, and detecting spoofing attacks. Users learn to systematically validate critical security protocols like SPF, DKIM, and DMARC, which is essential for incident response and cybersecurity investigations.

This skill provides a comprehensive solution for monitoring brand impersonation attacks across multiple digital vectors. It systematically scans domains, social media platforms, mobile app stores, and the dark web to detect phishing campaigns, typosquatting, and unauthorized brand usage. It is essential for security teams conducting proactive threat intelligence gathering and vulnerability assessments to safeguard brand integrity.

Automated system designed to monitor paste sites (e.g., Pastebin, GitHub Gists) for leaked credentials, API keys, and sensitive data dumps. It uses advanced scraping, keyword matching, and regex patterns to provide early detection of data breaches and security incidents.

This guide outlines a comprehensive workflow for detecting and preventing the exposure of sensitive AWS credentials (access keys, session tokens) within source code repositories, CI/CD pipelines, and configuration files. It utilizes TruffleHog for deep historical scanning and integrates git-secrets for robust pre-commit hooks, significantly reducing the risk of credential theft and unauthorized account access.