Skill UI

Creates security-focused skills for automation or training environments, enabling teams to define and deploy safety-oriented routines quickly.

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.

This skill provides a robust and safe mechanism for updating SpecKit templates and configurations from GitHub. It is designed to automatically apply the latest changes while meticulously preserving any existing project customizations, ensuring a non-disruptive workflow. It features a conversational, two-step approval process, guiding the user through the update process, reporting conflicts, and handling fresh installations gracefully. Ideal for developers needing reliable, version-controlled updates to their SpecKit environment.

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 utility for handling asset loading within Three.js environments. It supports various formats, including GLTF/GLB models, textures, HDR environments, and complex image assets. Features include robust asynchronous loading patterns, progress tracking via LoadingManager, and detailed configuration for PBR materials and environment mapping.

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.

Varlock provides secure, default environment variable management, ensuring that sensitive secrets (like API keys and passwords) are never exposed in logs, terminal output, or the AI context. It validates environments, reads schemas, and executes commands in a secure manner, promoting best practices for handling secrets in modern development workflows.

A comprehensive framework for optimizing inventory levels and planning replenishment in multi-location retail environments. It covers advanced demand forecasting techniques (e.g., Holt-Winters, ML models), calculating safety stock based on variability, estimating promotional uplift, and generating actionable purchase orders while minimizing stockouts and excess inventory. Ideal for professionals managing complex SKU portfolios across various supply chain systems.

This skill provides sophisticated project estimation by adapting to human-only, hybrid, or agent-first development modes. It uses research-backed PERT statistics and confidence bands (P50, P75, P90) to forecast development timelines for tasks, backlogs, and capacity planning. It continuously calibrates estimates based on actual completion data, ensuring accuracy in AI-assisted and hybrid development environments.

This skill automates the complex and tedious process of porting academic papers written in LaTeX from one publisher's journal template (e.g., Springer) to another (e.g., MDPI, IEEE). It executes a structured multi-stage workflow, including content extraction, structural mapping, systematic fixing of common LaTeX issues (like float placement and math environments), and final compilation to ensure the output adheres to the target journal's specifications.

This comprehensive guide details the professional workflow for performing digital forensic analysis on disk images using Autopsy and The Sleuth Kit. It covers environment setup, data source ingestion, recovering deleted files, extracting critical metadata (EXIF, MFT timestamps), and performing advanced keyword searches to build a complete investigative timeline and detailed case report.

A comprehensive guide for analyzing malicious Linux ELF binaries. Covers static inspection using tools like readelf and elftools, dynamic tracing with strace/ltrace, and deep reverse engineering using Ghidra/IDA. Essential for investigating botnets, ransomware, and rootkits in Linux server or container environments.