gmh5225

Expertise in binary lifting techniques - converting machine code to LLVM IR for analysis, decompilation, and recompilation. Use this skill when working on reverse engineering, binary analysis, deobfuscation, or converting binaries to higher-level representations.

Expertise in compiler development using LLVM infrastructure including frontend design, IR generation, optimization passes, and code generation. Use this skill when building custom programming languages, implementing DSL compilers, or working on compiler internals.

Expertise in LLVM-based dynamic binary instrumentation, runtime tracing, and program monitoring. Use this skill when implementing runtime analysis tools, code coverage systems, profilers, or dynamic security monitors.

Comprehensive learning resources and tutorials for LLVM, Clang, and compiler development. Use this skill when helping users learn LLVM internals, find educational resources, or understand compiler concepts.

Expertise in LLVM-based code obfuscation techniques including OLLVM, control flow flattening, string encryption, virtualization, and anti-analysis methods. Use this skill when working on code protection, anti-reverse engineering, or implementing custom obfuscation passes.

Expertise in LLVM optimization passes, performance tuning, and code transformation techniques. Use this skill when implementing custom optimizations, analyzing pass behavior, improving generated code quality, or understanding LLVM's optimization pipeline.

Expertise in LLVM security features including sanitizers, hardening techniques, exploit mitigations, and secure compilation. Use this skill when implementing security-focused compiler features, analyzing vulnerabilities, or hardening applications.

Expertise in LLVM tooling development including Clang plugins, LLDB debugger extensions, Clangd/LSP, and LibTooling. Use this skill when building source code analysis tools, refactoring tools, debugger extensions, or IDE integrations.

Guide for modern game anti-cheat architecture, Windows kernel monitoring, and detection tradeoffs. Use this skill when analyzing EAC, BattlEye, Vanguard, FACEIT AC, kernel callbacks, handle protection, manual-map detection, boot-start drivers, BYOVD, DMA threats, or behavioral telemetry in game security research.

Guide for game-hacking technique taxonomy and threat modeling relevant to game security. Use this skill when researching memory access, code injection, overlays, input simulation, engine-specific attack surfaces, or how modern anti-cheat systems constrain user-mode, kernel-mode, hypervisor, and DMA-based cheat implementations.

Guide for Windows kernel internals and security mechanisms used in game protection and low-level research. Use this skill when working with drivers, IRQL-sensitive callbacks, EPROCESS, ETHREAD, MMVAD internals, IOCTL paths, DSE, PatchGuard, HVCI, PiDDBCache, MmUnloadedDrivers, or kernel memory inspection.

Guide for PCIe DMA threat modeling, FPGA-based memory access, and defensive implications in game security. Use this skill when researching pcileech, BAR and TLP behavior, page-table walking, IOMMU or VT-d, device impersonation, firmware mimicry, or DMA detection and mitigation in game security research.

Guide for Android and iOS game security, reversing, and anti-cheat-adjacent platform research. Use this skill when working with APK or IPA analysis, IL2CPP mobile titles, Frida, Zygisk or Magisk, jailbreak or root detection bypass, Android kernel modules, emulator detection, or mobile anti-cheat systems.

Guide for game-engine internals, source trees, plugins, and engine-specific security research. Use this skill when researching Unreal, Unity, Source, Godot, custom engines, engine detectors, engine explorers, or engine protection patterns relevant to modding, reverse engineering, and anti-cheat.

Guide for understanding and contributing to the awesome-game-security curated resource list. Use this skill when adding new resources, organizing categories, mapping topics across anti-cheat, Windows kernel, DMA, reverse engineering, and game-engine research, or maintaining README.md format consistency.

Guide for reverse engineering protected games and anti-cheat components across user mode, kernel mode, and hypervisor-aware environments. Use this skill when analyzing drivers, IOCTL protocols, callback registration, injected-code artifacts, integrity checks, protected binaries, or debugging security-sensitive game components.

Guide for AI Agents and LLM development skills including RAG, multi-agent systems, prompt engineering, memory systems, and context engineering.

Guide for Claude Code skills installation, usage, and development. Use when working with Claude Code specific features, paths, and conventions.

Guide for development and code tools skills including document processing, browser automation, testing frameworks, and IDE integrations.

Guide for marketing and growth skills including SEO, copywriting, CRO, email campaigns, paid ads, and product launch strategies.

Guide for understanding and contributing to the awesome-skills curated resource list. Use this skill when adding resources, organizing categories, or maintaining README.md consistency (no duplicates).

Guide for multi-platform skill compatibility across Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, and other AI coding agents.

Guide for security-related Agent Skills including penetration testing, code auditing, threat hunting, and forensics skills.

Guide for creating Agent Skills: structure, best practices, and SKILL.md format for Claude Code, Codex, Gemini CLI, and other AI agents.

Guide for MEV concepts, common attacks, mitigations, and how to organize MEV-related resources in README.md.

Guide for understanding and contributing to the awesome-web3-security curated resource list. Use this skill when adding resources, organizing categories, or maintaining README.md consistency (no duplicates).

Guide for EVM/solidity smart contract security work: vulnerability taxonomy, review workflow, and where to place resources in README.md.

Guide for Solana/Sealevel security research and where to organize Solana-specific resources in README.md.

Guide for security tooling (analyzers, fuzzers, decompilers, compilers) and consistent placement in README.md.

Guide for wallet security topics: MPC/TSS, key management, wallet UX security, phishing, and how to categorize related resources in README.md.

Guide for understanding and contributing to the awesome-ai-security curated resource list. Use this skill when adding resources, organizing categories, or maintaining README.md consistency (no duplicates).

Guide for adversarial machine learning: adversarial examples, data poisoning, model backdoors, and evasion attacks.

Guide for AI-powered penetration testing tools, red teaming frameworks, and autonomous security agents.

Guide for LLM security attacks: prompt injection, jailbreaking, data extraction, and where to place resources in README.md.

Guide for AI security tooling (detectors, analyzers, guardrails, benchmarks) and consistent placement in README.md.