gmh5225

一键综合分析加密货币。通过并行子代理采集价格、新闻情绪、赛道对比、市场环境、项目基本面五个维度，交叉分析后输出 HTML 报告（含24小时行情和7日趋势）。触发词：分析BTC、analyze ETH、比特币怎么样、SOL值得买吗。

一键综合分析某只股票/公司。通过并行子代理同时采集股价、新闻舆论、行业对比、市场环境、公司官网五个维度的数据，然后在主线程进行交叉分析、因果归因和趋势预测，输出标准化 HTML 分析报告（含当日行情和7日趋势）。触发词：分析XX股票、analyze TICKER、XX怎么样、XX值得买吗。支持A股、港股和美股。

深度学习一本书。通过并行子代理采集章节结构、背景要点、问题影响、解决方案、术语索引、延伸阅读六个维度，交叉分析后输出 Markdown 深度学习笔记。触发词：分析XX这本书、学习XX、读书笔记XX、book analysis。

Go 后端需求分析：功能边界、验收标准、领域模型、API 契约、数据一致性规则、非功能需求、交付风险。在技术设计或编码前使用。

Expert Go backend code reviewer specializing in microservices, GORM/DAL patterns, dependency injection, and resource management. Focuses on logic correctness, goroutine leak detection, and Go-specific best practices for production-grade services.

Go 后端技术设计：包边界、handler-service-repository 分层、API 契约、存储设计、事务、一致性、可观测性、发布策略与 ADR 权衡。需求稳定后使用。

Fetches RSS feeds from 90 top Hacker News blogs (curated by Karpathy), uses Claude to score and filter articles, and generates a daily digest in Markdown with Chinese-translated titles, category grouping, trend highlights, and visual statistics. Use when user…

Use when user wants to analyze a resume/CV file (PDF or text) for software engineering, test development, or frontend development candidates. Triggers: "分析简历", "看下这份简历", "帮我面试", "analyze resume", "简历分析", "候选人评估".

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…

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…

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…

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…

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…

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,…

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…

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,…

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,…

Guide for evidence-grounded game-security research, citation verification, uncertainty, reproducible analysis, and detector evaluation. Use when validating technical claims, synthesizing README or wiki resources, comparing security techniques, assessing…

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,…

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.