Skill UI

A deep expert system for Anthropic's Claude Code CLI. This skill maximizes productivity by managing advanced features like hooks, persistent context via CLAUDE.md, memory management, sub-agent orchestration, and integrating with local development ecosystems. Ideal for complex coding tasks, debugging, and advanced workflow automation.

Validates SKILL.md files against the agentskills specification and Anthropic best practices, catching structure, semantic, naming, and quality issues in a single read-only pass before publishing or debugging skills.

This skill enforces rigorous governance and discipline when AI modifies systems, debugs code, or makes root-cause claims. It mandates safety gates (e.g., backup, blast radius check), demands evidence for every diagnosis, and prevents common AI shortcuts like guessing or deflecting. Use this for critical code modifications, complex debugging, and high-stakes deployments to ensure thoroughness and safety.

This skill provides a comprehensive workflow for identifying, unpacking, and analyzing packed malware samples, especially those utilizing the UPX format. It details methods for standard UPX decompression and advanced techniques for repairing modified PE headers or magic bytes that prevent automated extraction. The process supports preparing samples for deep static analysis and dynamic debugging.

A comprehensive guide detailing Next.js 16+ usage with Turbopack. Turbopack, written in Rust, is an incremental bundler designed to drastically speed up development startup and Hot Module Replacement (HMR) by utilizing file system caching. This document guides developers on best practices, differentiating between the default Turbopack usage and when to revert to Webpack for debugging or compatibility.

This skill enables sophisticated runtime dynamic analysis of Android applications using industry-standard tools like Frida and Objection. It is used to observe application behavior, intercept API calls, monitor network traffic, and bypass client-side security protections (e.g., root detection, anti-debugging). Essential for identifying vulnerabilities and analyzing obfuscated code that static analysis cannot reach.

This tool provides comprehensive security assessments for the entire IoT ecosystem, including physical hardware, embedded firmware, network communications, and cloud APIs. Testers can perform deep dives using hardware debugging (UART/JTAG), firmware extraction and reverse engineering, analyzing protocols (MQTT, CoAP, BLE), and simulating cloud-to-device attacks to identify vulnerabilities across all layers of the smart device stack.

This comprehensive guide teaches advanced iOS reverse engineering techniques using Frida dynamic instrumentation. Users can analyze proprietary app logic, extract encryption keys, trace method calls, and bypass anti-tampering or anti-debugging mechanisms without needing source code. It is essential for authorized mobile security testing and protocol analysis.

A comprehensive guide covering best practices for building and debugging Nuxt 4 applications. It details patterns for ensuring hydration safety, optimizing data fetching with `useFetch` and `useAsyncData`, managing complex routing rules, and implementing lazy loading for superior performance across SSR and client-side environments.

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.

A systematic protocol for repairing broken features by scoping the module, tracing every dependency, diagnosing issues, fixing them, and verifying results—ideal when a feature needs end-to-end debugging rather than a quick patch.

Master the use of the `gh` CLI to interact with core GitHub features. This guide covers managing issues, checking Pull Request statuses, listing and debugging CI workflow runs, and executing advanced data queries via the GitHub API. Essential for automating DevOps workflows and debugging CI/CD pipelines directly from the terminal.