Skill UI

This guide provides a comprehensive overview of the core concepts of Three.js, the leading JavaScript library for WebGL 3D rendering. It covers setting up the entire 3D environment, including the Scene, Camera types (Perspective, Orthographic), and the WebGLRenderer. Users will learn to handle object hierarchies, apply transforms (position, rotation, scale), and manage complex rendering settings like lighting, shadows, and environment maps. Essential for any developer starting a WebGL project.

A comprehensive guide to implementing various lighting techniques in Three.js, covering Ambient, Directional, Point, Spot, and RectArea lights. Learn how to configure realistic shadow maps, optimize lighting performance, and achieve high visual fidelity for your 3D web scenes.

A comprehensive guide covering texture management in Three.js. Learn how to load various texture types (regular, data, video, KTX2), configure critical properties like UV mapping, color space, wrapping modes, filtering, and mipmapping. Includes advanced workflows for generating and utilizing cubemaps and HDR environment maps.

This system maps advanced persistent threat (APT) group TTPs to the MITRE ATT&CK framework. Utilizing the attackcti library to query STIX/TAXII data, it generates specialized ATT&CK Navigator layer files. It is essential for security analysts to profile threat actors, visualize comprehensive coverage heatmaps, and precisely assess detection gaps against sophisticated adversaries.

This system builds an automated framework to track adversary Command and Control (C2) infrastructure. By leveraging passive DNS records, Certificate Transparency logs, and WHOIS data, it maps complex relationships between domains, IPs, and registrars. Use it to pivot from known indicators to discover entirely new, related threat actor infrastructure or maintain a continuous map of a threat group's network activity.

This skill parses various cyber threat intelligence (CTI) reports (Mandiant, CrowdStrike, etc.) using NLP and specialized libraries (stix2, mitreattack-python, spaCy). It systematically extracts adversary behaviors, maps them to MITRE ATT&CK IDs, and constructs a searchable STIX 2.1 Attack Pattern library. This is essential for threat-informed detection engineering, generating detection rules (Sigma, YARA), and validating security controls.

This skill transforms a refined research proposal or method idea into a detailed, structured, and claim-driven experiment roadmap. It helps users determine exactly which experiments to run, in what order, and what evidence is needed to support the core claims of a research paper, ensuring focus on novelty, simplicity, and genuine contribution.

This skill maps observed adversary behaviors, security alerts, and detection rules to the MITRE ATT&CK framework. It is essential for quantifying detection coverage, building ATT&CK heatmaps, tagging SIEM alerts, and prioritizing security controls based on known threat actor playbooks. Use it for comprehensive gap analysis and risk reporting.

Automatically analyzes unfamiliar codebases to generate a comprehensive, structured onboarding guide. It systematically detects package manifests, framework fingerprints, architecture maps, key entry points, and coding conventions. Ideal for new developers joining a project or setting up a repository for the first time.

This utility executes atomic Red Team tests mapped to the MITRE ATT&CK framework. It is essential for purple team exercises, allowing security teams to assess detection coverage gaps, validate SIEM/EDR rules, and generate detailed ATT&CK coverage heatmaps. Use it to build continuous detection validation loops and measure blue team visibility against known adversary techniques.

This comprehensive guide covers advanced Dart 3 features, including pattern matching, exhaustive switch expressions, and records. Learn how to refactor complex if-else chains, perform type-safe destructuring from various data sources (maps, lists, records), and utilize modern control flow constructs for writing idiomatic, robust, and highly maintainable Dart code.

A comprehensive guide for advanced Go developers, detailing the internals, optimal usage, and performance pitfalls of core data structures like slices, maps, and arrays. It covers capacity growth mechanics, preallocation strategies using `make` and `slices` package functions, and best practices for choosing between various standard library containers (e.g., `strings.Builder` vs `bytes.Buffer`). Essential for writing highly efficient, memory-safe Go code.