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Found 3,022 Skills
Validar prompts dirigidos a agentes de IA (Claude Code, Cursor, Copilot, etc.) contra reglas de redacción efectiva. Calcular un porcentaje de efectividad del prompt y devolver sugerencias de mejora concretas, más una propuesta de prompt reescrito. Cubre verbos no imperativos, lenguaje conversacional, acciones vagas, términos subjetivos, alcance difuso, prohibiciones implícitas, intenciones múltiples y nombres genéricos. Las reglas de detalle técnico (alcance, nombres exactos) se aplican solo a prompts de implementación; en prompts funcionales (user stories, descripciones de comportamiento) se marcan N/A. Usar siempre que el usuario pida validar, revisar, auditar, mejorar, corregir o "pulir" un prompt antes de enviarlo a un agente, o cuando pegue un prompt y pida feedback sobre cómo está redactado.
Pricing completo de opciones europeas y americanas. 9 metodos: Black-Scholes, Binomial CRR, Trinomial, Monte Carlo (antithetic) + Longstaff-Schwartz, Bjerksund-Stensland 2002 / BAW (American closed-form), Heston 1993 (vol estocastica, sonrisa via Fourier), Bates 1996 (Heston + Merton jumps, crash risk), greeks (BS), implied vol, P(ITM) y P(Profit). Disenado para backtesting: cada funcion es flat Python vectorizado con numpy (sin abstracciones), usa math.erfc (no scipy). BS 2.4 us/op, BS2 3.6 us, Heston 400 us, Binomial N=500 5.6 ms. CLI con 15 modos mas validate y bench. Time complexity O(1) para todos los closed-form.
Institution ratings, consensus price targets, EPS/revenue forecasts, finance calendar, shareholder data, fund holders, insider trades (SEC Form 4), short interest, industry rankings, peer group analysis via Longbridge. Frameworks: investment proposals, coverage initiation, stock research, competitive analysis, financial planning, and DeFi/on-chain analysis. Triggers: "机构评级", "目标价", "一致预期", "EPS预测", "内部人交易", "空头", "行业排名", "投资提案", "首次覆盖", "竞争格局", "财务规划", "DeFi收益", "链上数据", "機構評級", "目標價", "一致預期", "內部人交易", "空頭", "投資提案", "首次覆蓋", "競爭格局", "鏈上數據", "analyst rating", "price target", "consensus", "insider trades", "short interest", "coverage initiation", "DeFi yield", "on-chain", "earnings calendar", "finance calendar", "财报日历", "下周谁财报", "下周财报", "下周有哪些财报", "哪些财报", "谁财报", "FOMC", "非农", "股东", "谁持有", "股東", "基金持仓", "基金持倉", "機構評級", "目標價", "財務規劃"
Use when building UI with gluestack-ui components. Covers component composition, variants, sizes, states, accessibility props, and platform-specific considerations for React and React Native.
Market regime detection and regime-specific trading strategies. Use when analyzing market conditions to select appropriate strategy.
React Native Elements UI component library best practices for performance, theming, and proper component usage. Use when building React Native apps with RNE, configuring themes, optimizing lists with ListItem, or reviewing RNE component code.
Designs effective KPI dashboards with proper metric selection, visual hierarchy, and data visualization best practices. Use when building executive dashboards, creating analytics views, or presenting business metrics.
NestJS best practices and patterns for building scalable, maintainable backend applications. This skill should be used when writing, reviewing, or refactoring NestJS code to ensure proper architecture, security, performance, and code quality. Triggers on tasks involving NestJS modules, controllers, services, guards, pipes, middleware, Prisma database operations, authentication, or any NestJS-specific patterns.
Generate React Native Reanimated animation code for React Native apps. Use when user asks to create, implement, or add animations in React Native — including transitions, gestures, scroll-linked effects, layout animations, layout transitions, entering/exiting animations, CSS animations, CSS transitions, shared element transitions, color animations, parallax, fade, slide, scale, spring, timing, decay, keyframes, worklets, accordion, bottom sheet, flip card, collapsing header, or any motion effect using react-native-reanimated. Also use for integrating react-native-gesture-handler with Reanimated, understanding worklets, animating between screens, testing animations with Jest, or checking which properties are animatable.
Design ETL/ELT pipelines with proper orchestration, error handling, and monitoring. Use when building data pipelines, designing data workflows, or implementing data transformations.
Create component documentation with installation, usage examples, and preview sections. Apply when documenting 8-bit components with proper structure and examples.
Expert MVVM decisions for iOS/tvOS: choosing between ViewModel patterns (state enum vs published properties vs Combine), service layer boundaries, dependency injection strategies, and testing approaches. Use when designing ViewModel architecture, debugging data flow issues, or deciding where business logic belongs. Trigger keywords: MVVM, ViewModel, ObservableObject, @StateObject, service layer, dependency injection, unit test, mock, architecture