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Found 1,248 Skills
Use when writing, reviewing, or refactoring code. Apply when naming variables or functions, structuring classes, handling errors, writing tests, or when code feels complex or hard to understand. Based on Robert C. Martin's Clean Code.
Docker and container image best practices including multi-stage builds, security hardening, layer optimization, and Alpine/slim variants. Use when writing or reviewing Dockerfiles, container configurations, or docker-compose files.
Go-to-market strategy for AI products. Use when positioning AI products, handling "who is responsible when it breaks" objections, pricing variable-cost AI, choosing between copilot/agent/teammate framing, or selling autonomous tools into enterprises.
Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG applications), or combined approaches. Also use when users need text containment, substring matching ('contains', 'includes', 'appears in'), case-insensitive or multi-field text search, or filtering across many fields with variable combinations. Provides workflows for selecting the right search type, creating indexes, constructing queries, and optimizing performance using the MongoDB MCP server.
**THEMING & APPEARANCE GUIDE** — Assist with Syncfusion ASP.NET Core EJ2 component theming, customization, size modes, and dynamic theme switching. Use when: applying themes (Bootstrap, Material, Tailwind, Fluent, etc.), customizing theme variables, implementing theme switchers, enabling touch mode, or customizing icons and appearance.
Create and manage prompt snippets — reusable text blocks referenced inside AI Config variation prompts. Keeps common instructions, personas, and guardrails consistent across multiple configs.
HeroUI v3 React component library (Tailwind CSS v4 + React Aria). Use when working with HeroUI components, installing HeroUI, customizing HeroUI themes, or accessing HeroUI component documentation. Keywords: HeroUI, Hero UI, heroui, @heroui/react, @heroui/styles.
Integrate Redis-compatible Vercel KV for caching, session management, and rate limiting in Next.js. Powered by Upstash with strong consistency and TTL support. Use when implementing cache strategies, rate limiters, or troubleshooting environment variables, serialization errors, rate limit issues, scanIterator hangs, or Next.js cache stale reads.
Design property-based tests that verify code properties hold for all inputs using automatic test case generation. Use for property-based, QuickCheck, hypothesis testing, generative testing, and invariant verification.
Sets up and uses NativeWind v4 (Tailwind CSS v3) in Expo React Native apps, including Expo Router. Configures tailwind.config.js, global.css, babel.config.js (jsxImportSource + nativewind/babel), metro.config.js (withNativeWind + input), and app.json (web bundler metro). Troubleshoots “className not applying”, Tailwind CLI compilation, and Metro cache issues. Implements reusable components/variants, dark mode + theming via CSS variables (vars/useColorScheme), and third-party component styling (remapProps/cssInterop). Use when working on Expo projects using NativeWind v4, Tailwind-style className utilities, or when debugging NativeWind configuration.
Configuration and directives Tailwind CSS v4.1. @theme, @import, @source, @utility, @variant, @apply, @config. CSS-first mode without tailwind.config.js.
Arquitecto de soluciones digitales basadas en IA. Dos modos: (1) ANALIZAR repositorios o código existente y explicar su arquitectura para cualquier audiencia, incluyendo personas sin conocimiento técnico. (2) DISEÑAR la arquitectura completa de sistemas nuevos que usan LLMs, RAG, agentes o fine-tuning. Usa este skill cuando el usuario mencione: arquitectura de IA, diseño de sistema con LLM, capas arquitectónicas, RAG architecture, tech stack para IA, vector database, diagrama de arquitectura, componentes del sistema, embedding, retrieval, pipeline de datos, MLOps, LLMOps, evaluar enfoques, RAG vs fine-tuning, diseñar solución de inteligencia artificial, explicar repositorio, explicar código, analizar proyecto, qué hace este repo, cómo funciona este sistema, explícame este proyecto, o cualquier variación de "qué componentes necesito" o "explícame cómo funciona esto". Actívalo cuando el usuario pegue código, README, estructura de archivos, o mencione un repositorio de GitHub para analizar. También cuando quiera diseñar arquitectura nueva.