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.

A comprehensive guide for designing and implementing 3D user interfaces across web, mobile, and cross-platform environments. Learn core principles like perspective transformations, Z-axis depth, and interactive rotation to build visually stunning, spatially immersive, and highly engaging product experiences.

An adversarial Quality Assurance (QA) pass designed to deep-dive into any codebase for logic errors, security flaws, and functional bugs. Instead of confirming that code 'looks right,' this skill actively attempts to break the code by simulating hostile inputs, tracing critical data paths, and checking for subtle, real-world correctness issues. Essential for high-stakes, critical code reviews.

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.

This skill reconstructs the detailed workflow behind a specific coding artifact (like a feature or PR). By analyzing local `ax` agent traces, it connects commits, sessions, skills, and tool calls into a concise, evidence-grounded narrative. It is used when needing to understand the step-by-step process and key decisions that led to a result.

This skill guides the deployment and strategic use of honeytokens and canarytokens (decoy credentials, files, URLs, etc.). These high-fidelity decoys are designed to detect unauthorized access, insider threats, or adversary reconnaissance by triggering alerts upon any interaction, providing early warning deep within the kill chain.

A comprehensive tool and methodology for identifying and preventing dependency confusion attacks across major package ecosystems (npm, PyPI, Maven). It detects instances where internal, private package names are leaked and subsequently published publicly by attackers. The skill provides both detection (enumerating claimable internal names) and prevention strategies (enforcing registry pinning and scope restrictions) to secure the software supply chain.

This PowerShell toolset performs advanced post-exploitation, reconnaissance, persistence, and data exfiltration against Microsoft 365/Entra ID tenants using the Microsoft Graph API. It operationalizes stolen Graph tokens to enumerate users, dump policies, escalate privileges, and search sensitive data across mailboxes, SharePoint, and Teams. Essential for authorized red teaming engagements.

This comprehensive skill provides a holistic approach to building modern, accessible, and visually stunning user interfaces. It combines the highly accessible components of shadcn/ui (built on Radix UI), the utility-first power of Tailwind CSS, and sophisticated visual design principles (Canvas). Use this when developing complex React applications, implementing full design systems, ensuring responsive layouts across devices, and requiring professional-grade visual compositions, from dashboards to marketing posters. It guarantees consistency, accessibility, and rapid prototyping.

This advanced protocol forces the AI to conduct a thorough context audit before attempting any complex task. It mandates reading every relevant file, identifying architectural gaps, and providing a detailed orientation statement. It is essential for multi-file modifications, system design, and debugging to prevent acting on assumptions and maintain high code accuracy. The AI cannot proceed until all unknown variables are resolved.