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This skill orchestrates a comprehensive multi-dimensional code review using specialized agents. It covers code quality, architecture, security, performance, testing, and documentation. Users can configure focus areas like security, performance, or TDD compliance. It integrates static analysis, security scanning, and automated metrics to provide actionable feedback and remediation guidance for software development projects.

Analyze cryptographic code to detect timing attacks and side-channel leaks that expose secret data through execution time variations. Supports multiple languages including C, Python, and Java. Essential for securing encryption and key derivation functions.

Write and review modern C#/.NET code using records, pattern matching, nullable types, async/await, ASP.NET Core, EF, testing, and BenchmarkDotNet performance analysis.

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.

Expert in root cause analysis for errors, test failures, and unexpected behavior. Captures error messages, identifies reproduction steps, isolates failure locations, implements minimal fixes, and verifies solutions. Provides root cause explanations, evidence, code fixes, testing approaches, and prevention recommendations.

Learn to manage major dependency version upgrades effectively. This skill covers compatibility analysis, staged upgrade strategies, and comprehensive testing approaches. It includes semantic versioning review, dependency auditing, and handling breaking changes using codemods or migration scripts. Ideal for modernizing legacy projects and resolving dependency conflicts in JavaScript environments.

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.

This skill searches logs and codebases for error patterns, stack traces, and anomalies. It correlates errors across systems to identify root causes. Use it for building evidence-backed timelines for failures, comparing request outcomes, and analyzing stack traces. It supports log aggregation queries and anomaly detection to provide actionable findings and prevention strategies.

This skill enables expert analysis of embedded systems and IoT firmware. It covers hardware reverse engineering, extracting file systems, identifying vulnerabilities like hardcoded credentials, and binary analysis using tools like Binwalk and Ghidra. Used for security assessments and educational purposes with strict authorization.

This skill enables comprehensive static analysis of frontend codebases to detect Cross-Site Scripting (XSS) vulnerabilities. It identifies unsafe DOM manipulation, improper sanitization, and injection points across frameworks like React, Vue, and Angular. Use it to secure client-side applications against critical security risks.