Skill UI

This skill provides a comprehensive framework for the continuous self-improvement of makepad-skills. It outlines automatic skill triggering via hooks, context-aware skill routing, and a structured process for capturing new patterns, error solutions, and best practices. It ensures the entire skill library remains robust and up-to-date throughout the development lifecycle.

A comprehensive quick reference guide for functional programming types in TypeScript using the fp-ts library. It helps users decide which type (`Option`, `Either`, `Task`, etc.) to use based on whether operations are synchronous, asynchronous, and if they involve errors or missing values. It provides decision trees, common import patterns, and utility function patterns for robust TypeScript development.

This index serves as the central directory and router for a comprehensive marketing skills library. It catalogs 44 specialist skills across 8 functional pods, including Content, SEO, CRO, and Growth. Instead of executing tasks, it guides users to the specific skill module needed for their marketing challenge, ensuring a structured approach to campaigns and content creation.

Pandas is a Python data analysis library that simplifies loading, cleaning, transforming, and analyzing structured datasets, making it ideal for data wrangling in analytics or engineering workflows.

PyMC is a powerful Python library for probabilistic programming and advanced Bayesian inference. This comprehensive guide details the full workflow for building, fitting, and validating complex Bayesian models. Learn to implement hierarchical structures, perform MCMC sampling (NUTS), conduct posterior predictive checks (PPC), and effectively quantify uncertainty using industry best practices.

SciPy provides open-source algorithms and utilities for scientific computing, including integration, optimization, statistics, and signal processing, enabling researchers and engineers to build reliable numerical applications.

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.

Master the Zod library for defining robust, type-safe schemas in TypeScript. This expert covers advanced validation techniques, including primitives, objects, unions, and discriminated unions. It specializes in type inference (`z.infer`), data coercion, complex refinements, and seamless integration with modern frameworks like React Hook Form, Next.js, and tRPC, ensuring consistency across your application state and API inputs.

This skill provides access to a comprehensive, high-quality icon library designed for modern UI/UX systems. It ensures superior visual consistency across digital products by offering multiple premium styles (Linear, Bold, Two-tone). Users can find existing icons or leverage the integrated AI generator to create unique, perfectly styled custom icons, elevating the design professionalism beyond standard generic sets.

A comprehensive guide for building modern, accessible, and scalable user interfaces using the shadcn/ui component library. This document outlines core principles, best practices for component composition, styling rules (including Tailwind CSS usage), and structured approaches for forms and layouts. Essential for developers building complex design systems and ensuring code consistency.

This skill analyzes Active Directory (AD) Access Control Lists (ACLs) to detect dangerous misconfigurations. It uses the ldap3 Python library to query domain controllers, parse security descriptors (SDDL), and identify instances where non-privileged users or groups are granted dangerous permissions like GenericAll, WriteDACL, or WriteOwner on sensitive objects. Essential for security incident response and privilege escalation path discovery.

Utilize the Scapy library in Python to perform deep packet inspection, crafting, sending, and sniffing of various network protocols (TCP, UDP, ICMP, DNS). This skill is essential for analyzing pcap files, implementing advanced security techniques like SYN scans, extracting protocol fields, and detecting network anomalies such as fragmentation or tunneling indicators. Ideal for security researchers, SOC analysts, and penetration testers.