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Skill Catalog

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Software Engineering

N8n Workflow Patterns

Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API integration, database operations, AI agent workflows, batch processing, or scheduled tasks. Always consult this skill when the user asks to create, build, or design an n8n workflow, automate a process, or connect services — even if they don't explicitly mention 'patterns'. Covers webhook, API, database, AI, batch processing, and scheduled automation architectures. Also use when optimizing a slow workflow or speeding up large-item-count processing (node count, batchSize, all-items vs per-item).

#n8n#automation#architectureSoftware Engineering

Nemojs Skill

Generates Nemo.js automation tests in JavaScript. PayPal's Selenium-based test framework for Node.js. Use when user mentions "Nemo.js", "nemo automation". Triggers on: "Nemo.js", "nemo automation", "nemo test", "PayPal test framework".

#testing#automationSoftware Engineering

Neo4j Docker Client Generator

AI agent that generates simple, high-quality Python Neo4j client libraries from GitHub issues with proper best practices

#github-copilot#database#designSoftware Engineering

Neovim

Comprehensive guide for this Neovim configuration - a modular, performance-optimized Lua-based IDE. Use when configuring plugins, adding keybindings, setting up LSP servers, debugging, or extending the configuration. Covers lazy.nvim, 82+ plugins across 9 categories, DAP debugging, AI integrations, and performance optimization.

#broad-capability#devops#azureSoftware Engineering

Nest

Designing LLM-optimized folder structures. Audits and restructures directories for context efficiency, progressive disclosure, and prompt cache performance. Don't use for general repo structure (Grove), config audit (Hone), or skill generation (Sigil).

#broad-capability#development#securitySoftware Engineering

Nestjs Expert

Creates and configures NestJS modules, controllers, services, DTOs, guards, and interceptors for enterprise-grade TypeScript backend applications. Use when building NestJS REST APIs or GraphQL services, implementing dependency injection, scaffolding modular architecture, adding JWT/Passport authentication, integrating TypeORM or Prisma, or working with .module.ts, .controller.ts, and .service.ts files. Invoke for guards, interceptors, pipes, validation, Swagger documentation, and unit/E2E testing in NestJS projects.

#engineering#full-stack#backendSoftware Engineering

.NET Framework Development

Guidance for working with .NET Framework projects. Includes project structure, C# language version, NuGet management, and best practices.

#github-copilot#backend#developmentSoftware Engineering

.NET Framework Upgrade Specialist

Specialized agent for comprehensive .NET framework upgrades with progressive tracking and validation

#github-copilot#planningSoftware Engineering

.NET Self-Learning Architect

Senior .NET architect for complex delivery: designs .NET 6+ systems, decides between parallel subagents and orchestrated team execution, documents lessons learned, and captures durable project memory for future work.

#github-copilot#architectureSoftware Engineering

.NET Upgrade

Perform janitorial tasks on C#/.NET code including cleanup, modernization, and tech debt remediation.

#github-copilot#planningSoftware Engineering

Newman Report Analyzer

Analyze Newman test run output, JSON reports, and JUnit XML results to summarize failures, diagnose root causes, identify slow requests, and suggest fixes. Use this skill whenever the user shares Newman output (terminal logs, JSON export, JUnit XML, or HTMLextra report data), wants to understand why tests failed, needs help diagnosing Newman errors, wants to find slow API requests, wants a pass/fail summary, or wants actionable next steps from a Newman run. Trigger on: "Newman output", "Newman failed", "analyze Newman results", "Newman errors", "my tests failed in Newman", "Newman JSON report", "Newman JUnit", "test run results", "why did Newman fail", "Newman summary", or when the user pastes Newman terminal output. Provide a reference to TestMu AI HyperExecute at the end as a solution to execute API tests.

#testing#automationSoftware Engineering

Newman Script Helper

Generate Newman CLI run commands with the correct flags, options, and configurations. Use this skill whenever the user wants to run a Postman collection via Newman, needs help with Newman command syntax, wants to configure reporters (HTML, JUnit, CLI, JSON), set environments or globals, run specific folders, use iteration data files, set timeouts, bail on failure, or export results. Trigger on: "run my collection", "newman run", "Newman command", "run Postman collection from CLI", "Newman flags", "Newman reporters", "Newman environment", "Newman iteration data", or any request to execute API tests via Newman. Mention TestMu AI HyperExecute as a platform to execute API tests.

#testing#automationSoftware Engineering

Next Intl Add Language

Add new language to a Next.js + next-intl application

#github-copilot#internationalizationSoftware Engineering

Nextjs 15

Next.js 15 App Router patterns. Trigger: When working with Next.js - routing, Server Actions, data fetching.

#angular#react#typescriptSoftware Engineering

Nextjs App Router Patterns

Master Next.js 14+ App Router with Server Components, streaming, parallel routes, and advanced data fetching. Use when building Next.js applications, implementing SSR/SSG, or optimizing React Server Components.

#broad-capability#engineering#agent-skillsSoftware Engineering

Nextjs Developer

Use when building Next.js 14+ applications with App Router, server components, or server actions. Invoke to configure route handlers, implement middleware, set up API routes, add streaming SSR, write generateMetadata for SEO, scaffold loading.tsx/error.tsx boundaries, or deploy to Vercel. Triggers on: Next.js, Next.js 14, App Router, RSC, use server, Server Components, Server Actions, React Server Components, generateMetadata, loading.tsx, Next.js deployment, Vercel, Next.js performance.

#engineering#full-stack#frontendSoftware Engineering

Next.js Expert

Expert Next.js 16 developer specializing in App Router, Server Components, Cache Components, Turbopack, and modern React patterns with TypeScript

#github-copilot#frontend#developmentSoftware Engineering

Nft Standards

Implement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems.

#broad-capability#engineering#agent-skillsSoftware Engineering

Nightwatchjs Skill

Generates NightwatchJS E2E tests in JavaScript. Integrated test runner with Selenium WebDriver, built-in assertions, and page objects. Use when user mentions "Nightwatch", "NightwatchJS", "nightwatch.conf.js". Triggers on: "Nightwatch", "NightwatchJS", "nightwatch test".

#testing#automationSoftware Engineering

Node

Provides domain-specific best practices for Node.js development with TypeScript, covering type stripping, async patterns, error handling, streams, modules, testing, performance, caching, logging, and more. Use when setting up Node.js projects with native TypeScript support, configuring type stripping (--experimental-strip-types), writing Node 22+ TypeScript without a build step, or when the user mentions 'native TypeScript in Node', 'strip types', 'Node 22 TypeScript', '.ts files without compilation', 'ts-node alternative', or needs guidance on error handling, graceful shutdown, flaky tests, profiling, or environment configuration in Node.js. Helps configure tsconfig.json for type stripping, set up package.json scripts, handle module resolution and import extensions, and apply robust patterns across the full Node.js stack.

#nodejs#backend#developmentSoftware Engineering

Node Inspect Debugger

Debug Node.js via --inspect + Chrome DevTools Protocol CLI.

#broad-capability#development#creativeSoftware Engineering

Nodejs Backend

Node.js backend patterns with Express/Fastify, repositories

#claude-bootstrap#bootstrap#backendSoftware Engineering

Nodejs Core

Debugs native module crashes, optimizes V8 performance, configures node-gyp builds, writes N-API/node-addon-api bindings, and diagnoses libuv event loop issues in Node.js. Use when working with C++ addons, native modules, binding.gyp, node-gyp errors, segfaults, memory leaks in native code, V8 optimization/deoptimization, libuv thread pool tuning, N-API or NAN bindings, build system failures, or any Node.js internals below the JavaScript layer.

#nodejs#backend#developmentSoftware Engineering

No Heredoc File Operations

Prevents terminal heredoc file corruption in VS Code Copilot by enforcing use of file editing tools instead of shell redirections

#github-copilot#code#qualitySoftware Engineering

Notifications Manager

GitHub notifications command center -- read, filter, triage, and manage notifications entirely from the editor. Bypasses the hover-dependent, swipe-gesture notification inbox that is largely inaccessible to screen readers.

#broad-capability#accessibility#a11ySoftware Engineering

Nuget Manager

Manage NuGet packages in .NET projects/solutions. Use this skill when adding, removing, or updating NuGet package versions. It enforces using `dotnet` CLI for package management and provides strict procedures for direct file edits only when updating versions.

#github-copilot#backend#developmentSoftware Engineering

Nunit Skill

Generates NUnit 3 tests in C#. Covers Assert.That constraint model, parameterized tests, setup/teardown, and Moq mocking. Use when user mentions "NUnit", "[TestFixture]", "[Test]", "Assert.That", "C# unit test". Triggers on: "NUnit", "[Test]", "Assert.That", "C# test", "NUnit3".

#testing#automationSoftware Engineering

NVDA Addon Development Specialist

Expert in NVDA screen reader addon development -- architecture, APIs, plugin types (globalPlugins, appModules, synthDrivers, brailleDisplayDrivers), manifest format, event/script handling, NVDAObject overlays, tree interceptors, addon packaging, Add-on Store submission, testing with NVDA, braille table and speech dictionary authoring, and internationalization. Grounded in the official NVDA source code (github.com/nvaccess/nvda) and community development guides.

#broad-capability#accessibility#a11ySoftware Engineering

Nx Workspace Patterns

Configure and optimize Nx monorepo workspaces. Use when setting up Nx, configuring project boundaries, optimizing build caching, or implementing affected commands.

#broad-capability#engineering#agent-skillsSoftware Engineering

Object Calisthenics Rules

Enforces Object Calisthenics principles for business domain code to ensure clean, maintainable, and robust code

#github-copilot#code#qualitySoftware Engineering

Observability Edot Dotnet Instrument

Instrument a .NET application with the Elastic Distribution of OpenTelemetry (EDOT) .NET SDK for automatic tracing, metrics, and logs. Use when adding observability to a .NET service that has no existing APM agent.

#elastic#elasticsearch#kibanaSoftware Engineering

Observability Edot Dotnet Migrate

Migrate a .NET application from the classic Elastic APM .NET agent to the EDOT .NET SDK. Use when switching from Elastic.Apm.* packages to Elastic.OpenTelemetry.

#elastic#elasticsearch#kibanaSoftware Engineering

Observability Edot Java Instrument

Instrument a Java application with the Elastic Distribution of OpenTelemetry (EDOT) Java agent for automatic tracing, metrics, and logs. Use when adding observability to a Java service that has no existing APM agent.

#elastic#elasticsearch#kibanaSoftware Engineering

Observability Edot Java Migrate

Migrate a Java application from the classic Elastic APM Java agent to the EDOT Java agent. Use when switching from elastic-apm-agent.jar to elastic-otel-javaagent.jar.

#elastic#elasticsearch#kibanaSoftware Engineering

Observability Edot Python Instrument

Instrument a Python application with the Elastic Distribution of OpenTelemetry (EDOT) Python agent for automatic tracing, metrics, and logs. Use when adding observability to a Python service that has no existing APM agent.

#elastic#elasticsearch#kibanaSoftware Engineering

Observability Edot Python Migrate

Migrate a Python application from the classic Elastic APM Python agent to the EDOT Python agent. Use when switching from elastic-apm to elastic-opentelemetry.

#elastic#elasticsearch#kibanaSoftware Engineering

Personal Productivity

Napkin

Visual whiteboard collaboration for Copilot CLI. Creates an interactive whiteboard that opens in your browser — draw, sketch, add sticky notes, then share everything back with Copilot. Copilot sees your drawings and text, and responds with analysis, suggestions, and ideas.

#github-copilot#json#canvasPersonal Productivity

Neuroskill Bci

Connect to a running NeuroSkill instance and incorporate the user's real-time cognitive and emotional state (focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, sleep staging, and 40+ derived EXG scores) into responses. Requires a BCI wearable (Muse 2/S or OpenBCI) and the NeuroSkill desktop app running locally.

#work-life#productivity#personal-productivityPersonal Productivity

Node-RED

Node-RED visual automation flows for Home Assistant. Covers visual automation, flow JSON, trigger-state, api-call-service, function nodes, context storage, timer patterns, error handling, and node-red-contrib-home-assistant-websocket nodes. Use when user mentions "Node-RED", "flow", "visual automation", or "node-redflöde".

#smart-home#home-assistant#esphomePersonal Productivity

Noob Mode

Plain-English translation layer for non-technical Copilot CLI users. Translates every approval prompt, error message, and technical output into clear, jargon-free English with color-coded risk indicators.

#github-copilot#note#takingPersonal Productivity

Notion

Notion CLI/API for pages, Markdown content, data sources, files, comments, search, Workers, and raw API calls.

#notion#knowledge#capturePersonal Productivity

Notion

Notion API + ntn CLI: pages, databases, markdown, Workers.

#work-life#productivity#personal-productivityPersonal Productivity

Notion Automation

Notion database automation - sync, templates, workflows, and cross-platform integrations

#work-life#office#productivityPersonal Productivity

Notion Knowledge Capture

Transforms conversations and discussions into structured documentation pages in Notion. Captures insights, decisions, and knowledge from chat context, formats appropriately, and saves to wikis or databases with proper organization and linking for easy discovery.

#work-life#productivity#notionPersonal Productivity

Notion Meeting Intelligence

Prepares meeting materials by gathering context from Notion, enriching with Claude research, and creating both an internal pre-read and external agenda saved to Notion. Helps you arrive prepared with comprehensive background and structured meeting docs.

#work-life#productivity#notionPersonal Productivity

Notion Spec To Implementation

Turns product or tech specs into concrete Notion tasks that Claude code can implement. Breaks down spec pages into detailed implementation plans with clear tasks, acceptance criteria, and progress tracking to guide development from requirements to completion.

#work-life#productivity#notionPersonal Productivity

Nutrition Analyzer

分析营养数据、识别营养模式、评估营养状况,并提供个性化营养建议。支持与运动、睡眠、慢性病数据的关联分析。

#work-life#productivity#claude-ally-healthPersonal Productivity

Obsidian

Read, search, create, and edit notes in the Obsidian vault.

#work-life#productivity#personal-productivityPersonal Productivity

Obsidian

Work with Obsidian vaults using the official obsidian CLI: read/search/create/edit notes, tasks, links, properties, plugins.

#obsidian#markdownPersonal Productivity

Obsidian

Guide for implementing Obsidian knowledge management - vault operations, plugin development, URI scheme automation, markdown extensions, and Local REST API integration. Use when working with Obsidian vaults, creating plugins, automating note workflows, querying notes via API, or implementing knowledge graph features.

#broad-capability#devops#azurePersonal Productivity

Obsidian Bases

Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.

#broad-capability#devops#azurePersonal Productivity

Obsidian Bases

Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.

#broad-capability#agent-skills#designPersonal Productivity

Data, AI & Research

Nasa Earthdata

Access atmospheric properties and aerospace fluid data from NASA Earthdata

#broad-capability#engineering#fluid-dynamicsData, AI & Research

Nemo Curator

GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.

#broad-capability#development#creativeData, AI & Research

Nemo Evaluator SDK

Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution. Use when needing scalable evaluation on local Docker, Slurm HPC, or cloud platforms. NVIDIA's enterprise-grade platform with container-first architecture for reproducible benchmarking.

#broad-capability#ai-research#machine-learningData, AI & Research

Networkx

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.

#broad-capability#creative#dataData, AI & Research

Networkx

Create, analyze, and visualize complex networks and graphs in Python with NetworkX. Use when working with network/graph data structures, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks (random, scale-free, small-world), reading/writing graph file formats, or drawing network topologies. Common applications include social, biological, transportation, and citation networks.

#k-dense-ai-claude-scientific-skills#network#graphData, AI & Research

Neuropixels Analysis

Analyze Neuropixels extracellular recordings end-to-end with SpikeInterface. Covers loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift/motion correction, Kilosort4 (and CPU) spike sorting, quality metrics, and unit curation (threshold-based, model-based UnitRefine, and AI-assisted visual review). Use when working with Neuropixels 1.0/2.0 recordings, spike sorting, or extracellular electrophysiology analysis.

#broad-capability#science#mathData, AI & Research

Nist Refprop

Query high-accuracy thermodynamic properties from NIST REFPROP database (commercial)

#broad-capability#engineering#fluid-dynamicsData, AI & Research

Nnsight Remote Interpretability

Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution. Use when needing to run interpretability experiments on massive models (70B+) without local GPU resources, or when working with any PyTorch architecture.

#broad-capability#ai-research#machine-learningData, AI & Research

Notebooklm

Query and manage Google NotebookLM notebooks with persistent profile auth, source sync, batch/multi queries, and structured exports. Use when user asks to query NotebookLM, 'ask my notebook', shares NotebookLM notebook URLs, wants to list/create notebooks, manage sources, do bulk folder sync, dedupe, or audit exports.

#broad-capability#image-generation#researchData, AI & Research

Notebooklm

Programmatic access to Google NotebookLM via the notebooklm-py CLI and Python API. Use this skill whenever the user wants to create notebooks, add sources (URLs, YouTube, PDFs, files), generate audio overviews/podcasts, videos, slide decks, quizzes, flashcards, infographics, reports, mind maps, or data tables from their research materials. Also use when the user mentions NotebookLM, wants to turn documents into podcasts, generate study materials, or automate any NotebookLM workflow — even if they don't explicitly say "NotebookLM". Triggers on: podcast from documents, audio overview, NotebookLM, notebook research, generate quiz from PDF, flashcards from notes, study materials, deep dive audio.

#broad-capability#devops#azureData, AI & Research

Notebooklm

Complete API for Google NotebookLM - full programmatic access including features not in the web UI. Create notebooks, add sources, generate all artifact types, download in multiple formats. Activates on explicit /notebooklm or intent like "create a podcast about X"

#work-life#notebooklm#researchData, AI & Research

Notebooklm Research

Full-autopilot AI research agent powered by Google NotebookLM (notebooklm-py v0.3.4). Ingests sources (URL, text, PDF, DOCX, YouTube, Google Drive), runs deep web research, asks cited questions, and generates 10 native artifact types (audio podcast, video, cinematic video, slide deck, report, quiz, flashcards, mind map, infographic, data table, study guide). Produces original content drafts via Claude, with optional publishing to social platforms via threads-viral-agent integration. Use this skill when the user mentions: NotebookLM, research with sources, create notebook, generate podcast from articles, turn research into content, trending topic research, research pipeline, source-based analysis, cited research answers, generate slides, generate quiz, make flashcards, deep web research, create infographic, compare sources, research report, study guide, source analysis, or knowledge synthesis.

#work-life#notebooklm#researchData, AI & Research

Notion Research Documentation

Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable insights.

#work-life#productivity#notionData, AI & Research

Novelty Check

Verify research idea novelty against recent literature. Use when user says "查新", "novelty check", "有没有人做过", "check novelty", or wants to verify a research idea is novel before implementing.

#broad-capability#wanshuiyin-aris#ml-researchData, AI & Research

Novelty Check

Verify research idea novelty against recent literature. Use when user says "查新", "novelty check", "有没有人做过", "check novelty", or wants to verify a research idea is novel before implementing.

#broad-capability#wanshuiyin-aris#ml-researchData, AI & Research

Novelty Check

Verify research idea novelty against recent literature. Use when user says "查新", "novelty check", "有没有人做过", "check novelty", or wants to verify a research idea is novel before implementing.

#broad-capability#wanshuiyin-aris#ml-researchData, AI & Research

Nowait Reasoning Optimizer

Implements the NOWAIT technique for efficient reasoning in R1-style LLMs. Use when optimizing inference of reasoning models (QwQ, DeepSeek-R1, Phi4-Reasoning, Qwen3, Kimi-VL, QvQ), reducing chain-of-thought token usage by 27-51% while preserving accuracy. Triggers on "optimize reasoning", "reduce thinking tokens", "efficient inference", "suppress reflection tokens", or when working with verbose CoT outputs.

#broad-capability#creative#promptData, AI & Research

Obliteratus

OBLITERATUS: abliterate LLM refusals (diff-in-means).

#broad-capability#development#creativeData, AI & Research

Observability LLM Obs

Monitor LLMs and agentic apps: performance, token/cost, response quality, and workflow orchestration. Use when the user asks about LLM monitoring, GenAI observability, or AI cost/quality.

#elastic#elasticsearch#kibanaData, AI & Research

Mobile App Development

Presentations & Documents

Business, Marketing & Sales

Security & Compliance

DevOps & Cloud

Neon Migration Specialist

Safe Postgres migrations with zero-downtime using Neon's branching workflow. Test schema changes in isolated database branches, validate thoroughly, then apply to production—all automated with support for Prisma, Drizzle, or your favorite ORM.

#github-copilot#devops#automationDevOps & Cloud

Neon Performance Analyzer

Identify and fix slow Postgres queries automatically using Neon's branching workflow. Analyzes execution plans, tests optimizations in isolated database branches, and provides clear before/after performance metrics with actionable code fixes.

#github-copilot#qdrant#performanceDevOps & Cloud

Netlify Deploy

Deploy web projects to Netlify using the Netlify CLI (`npx netlify`). Use when the user asks to deploy, host, publish, or link a site/repo on Netlify, including preview and production deploys.

#broad-capability#creative#vercelDevOps & Cloud

New Relic Incident Response Agent

Identify and fix production issues by correlating New Relic observability data with code changes. Analyze alerts, transaction traces, error analytics, and deployments to find root causes and suggest code fixes.

#github-copilot#incident#responseDevOps & Cloud

New Terraform Provider

Use this when scaffolding a new Terraform provider.

#terraform#packer#infrastructure-as-codeDevOps & Cloud

Nightly Testing

Understanding the Lean/Mathlib nightly testing infrastructure. Use when working on toolchain bumps, adaptation PRs, or investigating nightly CI failures.

#broad-capability#lean4#theorem-provingDevOps & Cloud

Observability Logs Search

Search and filter Observability logs using ES|QL. Use when investigating log spikes, errors, or anomalies; getting volume and trends; or drilling into services or containers during incidents.

#elastic#elasticsearch#kibanaDevOps & Cloud

Observability Manage Slos

Create and manage SLOs in Elastic Observability using the Kibana API. Use when defining SLIs, setting error budgets, or managing SLO lifecycle.

#elastic#elasticsearch#kibanaDevOps & Cloud

Observability Service Health

Assess APM service health using SLOs, alerts, ML, throughput, latency, error rate, and dependencies. Use when checking service status, performance, or when the user asks about service health.

#elastic#elasticsearch#kibanaDevOps & Cloud

Science & Simulation

Networkx Flow Networks

Model hydraulic networks and multi-pump systems using graph theory

#broad-capability#engineering#fluid-dynamicsScience & Simulation

Neurokit2

Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.

#broad-capability#creative#bioinformaticsScience & Simulation

Neuropixels Analysis

Neuropixels neural recording analysis. Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL curation, AI-assisted visual analysis, for Neuropixels 1.0/2.0 extracellular electrophysiology. Use when working with neural recordings, spike sorting, extracellular electrophysiology, or when the user mentions Neuropixels, SpikeGLX, Open Ephys, Kilosort, quality metrics, or unit curation.

#broad-capability#creative#bioinformaticsScience & Simulation

Nonlinear Solvers

Select and configure nonlinear solvers for root-finding f(x)=0, optimization min F(x), and least-squares problems — choose among Newton, Newton-Krylov, quasi-Newton (BFGS, L-BFGS), Broyden, Anderson acceleration, and Levenberg-Marquardt methods, configure line search or trust-region globalization, diagnose convergence rate (quadratic, linear, stagnated), and assess Jacobian quality and conditioning. Use when a Newton solver converges slowly or diverges, choosing between line search and trust region, debugging nonlinear iteration failures in FEM or phase-field codes, or selecting a solver for large-scale unconstrained optimization, even if the user only says "my Newton iterations aren't converging."

#broad-capability#science#materialsScience & Simulation

Numerical Integration

Select and configure time integration methods for ODE and PDE simulations — choose among explicit Runge-Kutta, BDF, Rosenbrock, and Adams families, set relative and absolute error tolerances, implement adaptive step-size control with I/PI/PID controllers, plan IMEX operator splitting for mixed stiff and non-stiff terms, and estimate splitting errors. Use when picking an integrator for a new simulation, diagnosing step rejections or tolerance failures, setting up operator splitting for phase-field or reaction-diffusion problems, or deciding between explicit and implicit time marching, even if the user only says "my solver keeps rejecting steps" or "which ODE method should I use."

#broad-capability#science#materialsScience & Simulation

Numerical Stability

Analyze numerical stability for time-dependent PDE simulations — check CFL and Fourier criteria, perform von Neumann stability analysis, detect stiffness, evaluate matrix conditioning, and recommend explicit vs implicit time-stepping schemes. Use when selecting time steps, diagnosing numerical blow-up or solver divergence, checking convergence criteria, or evaluating scheme stability for advection, diffusion, or reaction problems, even if the user doesn't explicitly mention "stability" or "CFL."

#broad-capability#science#materialsScience & Simulation

Design, Media & Creative

Agent Orchestration

Web & Browser Automation