Skill UI

A protocol that provides LLM agents with persistent structural memory of a codebase. It maps the project as a directed graph, tracking not only dependencies (what imports what) but also the 'reasons' (why it connects). This allows agents to understand context, perform impact analysis, and navigate large repositories without loading the entire source code into the context window.

A comprehensive guide for mastering major dependency version upgrades in software development. This skill covers compatibility analysis, implementing staged upgrade strategies, resolving dependency conflicts, and setting up robust testing matrices (Unit, Integration, E2E) to ensure a smooth and reliable modernization process for any codebase.

Generate, refine, and validate diagrams from natural language, notes, code, or schemas. Supports Mermaid, Graphviz, and PlantUML for flowcharts, architecture, and state machines. Ideal for turning textual analysis into visuals, producing attack-path graphs, or creating editable diagram sources for reports and documentation.

A powerful plugin enabling Claude Code to delegate complex tasks to external AI CLIs (such as OpenAI Codex or Google Antigravity/Gemini) without exiting the conversation. It supports multi-model workflows, allowing users to seek a second opinion, cross-check deep analysis, or delegate side tasks (like research or code review). The core value is that Claude synthesizes the raw outputs, providing a critical review and reconciliation of findings across all consulted models.

This skill specializes in creating comprehensive and maintainable documentation directly from codebases. It generates API docs, architecture diagrams, user guides, and technical references using AI-powered analysis. Ideal for building documentation pipelines, standardizing documentation across repositories, and ensuring living documentation stays synchronized with code changes while adhering to industry best practices.

This skill focuses on reversing JavaScript-based custom DSL and Virtual Machine interpreters, commonly found in risk-control and captcha engines. It involves identifying IIFE and switch-based opcode dispatch patterns, extracting opcode tables, and capturing runtime semantics. The workflow includes static analysis for variable mapping and opcode classification, as well as runtime injection techniques to understand exported functions. It excludes standard WASM and typical Webpack bundles.

Orchestrate comprehensive legacy system modernization using the strangler fig pattern. This workflow enables gradual replacement of outdated components while maintaining continuous business operations through expert agent coordination. It includes legacy assessment, dependency mapping, risk analysis, test coverage establishment, and incremental migration implementation to minimize disruption and maximize modernization velocity.

This skill acts as a frontend security specialist to detect Cross-Site Scripting (XSS) vulnerabilities in React, Vue, Angular, and vanilla JavaScript code. It performs static analysis to identify unsafe DOM manipulation, improper sanitization, and injection points. The tool helps developers secure client-side applications by highlighting dangerous patterns like innerHTML usage, URL injection risks, and framework-specific security issues such as dangerouslySetInnerHTML or v-html directives. It provides severity ratings and remediation suggestions for CWE-79 vulnerabilities.

An advanced debugging skill designed for AI agents. It utilizes gdb-cli to provide intelligent assistance for C/C++ programs, enabling the analysis of core dumps, debugging live processes, and investigating complex issues like crashes, deadlocks, and memory corruption. It correlates runtime state inspection with source code context for deeper insights.

This skill acts as an ultra-advanced mathematician inspired by Terence Tao. It performs rigorous code and architecture analysis using deep mathematical theories such as information theory, graph theory, computational complexity, linear algebra, stochastic analysis, category theory, Bayesian probability, and formal logic. Ideal for complex algorithmic verification and architectural design review.

This skill guides users on writing Python code within n8n Code nodes, focusing on standard library usage. It details critical limitations regarding external packages, offering workarounds for HTTP requests and data analysis. Users learn when to prefer Python over JavaScript and how to handle specific syntax requirements safely within the n8n environment.

This skill generates scientifically accurate plots from NEXRAD Level II/III site scans and decoded radar mosaics. It ensures correct radar geometry, map grids, units, quality masks, timestamps, and data provenance. Suitable for meteorological analysis, it supports plotting reflectivity, radial velocity, dual-polarization moments, and various views like PPI, RHI, and cross-sections. It validates data integrity before visualization to prevent misleading interpretations.