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NSAID comparison (meloxicam, carprofen, deracoxib, firocoxib, robenacoxib), species-specific dosing, GI ulceration risk...
Screen Nifty 500 stocks for Mark Minervini's Volatility Contraction Pattern (VCP) — identifying Stage 2 uptrends with ti...
Use when building enterprise-grade distributed systems with NServiceBus for reliable messaging, sagas, and recoverabilit...
当用户明确要求"写/润色 NSFC 标书摘要""生成中文摘要和英文摘要""把中文摘要翻译成英文摘要"时使用。输出中文、英文两个版本（英文必须是中文的忠实翻译版），同时输出标题建议（1个推荐标题+5个候选标题及理由）。中文摘要默认≤400字符...
当用户明确要求"加引用""补参考文献""核对论文信息""写bibtex""更新.bib"时使用。新增/核验论文信息（题目/作者/年份/期刊/DOI）并写入 `references/ccs.bib` 或 `references/mypaper...
为科研申请书"立项依据"章节写作/重构 LaTeX 正文内容，基于最小信息表输出价值与必要性、现状不足、科学问题/假说与项目切入点，并保持模板结构不被破坏。适用于 NSFC 及各类科研基金申请书的立项依据写作场景。
为 NSFC 正文"（二）研究内容"写作/重构，并同步编排"特色与创新"和"三年年度研究计划"，输出可直接落到 LaTeX 模板的三个 extraTex 文件。适用于用户要写/改"研究内容、研究目标、关键科学问题、技术路线、创新点、三年计划...
为 NSFC 正文"（三）研究基础"写作/重构，并同步编排"工作条件"和"研究风险应对"，用证据链证明项目可行、资源条件对位研究内容、风险预案可执行。适用于用户要写/改"研究基础、前期工作、可行性分析、工作条件、平台团队、风险应对"等场景。
Expert skill for NVIDIA Nsight Systems and Nsight Compute profiling tools. Configure profiling sessions, analyze kernel...
此技能專注於使用 NSubstitute 建立和管理測試替身，涵蓋 Test Double 五大類型、依賴隔離策略、行為設定與驗證的最佳實踐。
Optimize CUDA/GPU simulation code using NVIDIA Nsight Systems (nsys) profiling. Use this skill whenever the user mention...
Self-hosted push notifications with ntfy — publishing, authentication, priorities, integration patterns for homelab scri...
Named Tmux Manager - Multi-agent orchestration for Claude Code, Codex, and Gemini in tiled tmux panes. Visual dashboards...
Named Tmux Manager - orchestrate multiple AI coding agents (Claude Code, Codex, Gemini) in tiled tmux panes with visual...
High-performance fuzzy matching library for filtering choices in prompts
Synchronous immediate signaling channel for inter-agent communication. Implements latest-wins single-file nudge pattern...
Upload, edit, and export documents via Nudocs.ai. Use when creating shareable document links for collaborative editing,...
Usar al implementar una funcionalidad nueva de principio a fin
Usar al detectar una tarea repetitiva que merece convertirse en skill
Manage NuGet packages in .NET projects/solutions. Use this skill when adding, removing, or updating NuGet package versio...
Manage NuGet packages using Central Package Management (CPM) and dotnet CLI. Never edit .csproj or Directory.Packages.pr...
Set up NuGet trusted publishing (OIDC) on a GitHub Actions repo — replaces long-lived API keys with short-lived tokens....
Kill all shella processes and reset state. Nuclear option when things are broken. Use with caution.
Secure, production-ready template for NukeViet 5.x modules using Smarty Template Engine.
Provides comprehensive guidelines for handling numeric data in code, including data type selection, magic number avoidan...
Calculus, series, numerical methods, and optimization for computational mathematics. Covers limits (epsilon-delta, L'Hop...
Problem-solving strategies for numerical integration in numerical methods
Select and configure time integration methods for ODE/PDE simulations. Use when choosing explicit/implicit schemes, sett...
Numerical computing patterns for C++20 including matrix operations, iterative solvers, numerical stability, data pipelin...
Analyze and enforce numerical stability for time-dependent PDE simulations. Use when selecting time steps, choosing expl...
Verify mathematical correctness and numerical accuracy after code changes
NumPy numerical computing with arrays. Use for numerical operations.
NumPy Core focuses on the foundational architecture of the ndarray. This includes how data types (dtypes) interpret raw...
NumPy implements datetime64 for fixed-point dates and timedelta64 for durations. Unlike Python's standard datetime, NumP...
NumPy's fft module provides routines for computing Discrete Fourier Transforms (DFT). It is widely used for signal proce...
Indexing in NumPy ranges from basic slicing (zero-copy) to advanced "fancy" indexing (always creates a copy). Understand...
NumPy Interoperability encompasses the protocols that allow different numerical libraries (PyTorch, TensorFlow, SciPy) t...
NumPy I/O handles the transition of data between system memory and persistent storage. It supports highly efficient bina...
NumPy's linalg module provides high-performance implementations for standard linear algebra routines. It leverages optim...
The numpy.ma module provides masked arrays, which couple a data array with a boolean mask. Masked elements are ignored i...