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Found 158 Skills
Academic backtesting framework for quantitative research. ~30 risk and performance ratios, 10 classes of indicators, event-driven engine with 6+ strategies, MPT optimizer, forward-looking simulation with Johnson SU + t-Copula, walk-forward CV, stress testing, fundamental analysis (Altman Z, Piotroski, DuPont). All flat Python + numpy.
Market intelligence: strategy screener, popularity rankings, top movers with news correlation, quote anomalies, index/ETF constituent stocks, morning briefings, catalyst monitoring for watchlist, event-driven strategies, ETF fund flows, sector rotation, market microstructure, supply chain analysis, industry overviews, and ARK-style disruptive innovation analysis. Triggers: "筛选", "策略筛选", "排行", "热度", "异动", "成分股", "晨报", "早报", "催化剂", "事件驱动", "ETF资金流", "板块轮动", "产业链", "行业概览", "颠覆式创新", "ARK", "篩選", "排行", "異動", "成分股", "晨報", "ETF資金流", "板塊輪動", "產業鏈", "screener", "rank", "anomaly", "constituent", "morning brief", "catalyst", "event strategy", "ETF flow", "ETF资金流", "ETF申赎", "ETF資金流", "etf flow", "资金申赎", "etf 资金", "sector rotation", "supply chain", "ARK", "disruptive innovation", "板块筛选", "行业筛选", "板塊篩選", "強勢板塊", "弱勢板塊", "top sectors", "催化劑", "事件驅動", "行業概覽", "顛覆式創新", "策略篩選", "熱度"
Event handling and subscriptions in GPUI. Use when implementing events, observers, or event-driven patterns. Supports custom events, entity observations, and event subscriptions for coordinating between components.
Comprehensive guide for production-ready Python backend development and software architecture at scale. Use when designing APIs, building backend services, creating microservices, structuring Python projects, implementing database patterns, writing async code, or any Python backend/server-side development task. Covers Clean Architecture, Domain-Driven Design, Event-Driven Architecture, FastAPI/Django patterns, database design, caching strategies, observability, security, testing strategies, and deployment patterns for high-scale production systems.
Enforce Vertical Slice Architecture (VSA) when building applications in any language (Go, .NET/C#, Java, Kotlin, TypeScript, Python, etc.) and any type (web API, mobile backend, CLI, event-driven). Organize code by feature/use-case instead of technical layers. Each feature is a self-contained vertical slice with a single entry point that receives the router/framework handle and its dependencies. Use when the user says "vertical slice architecture", "VSA", "organizar por feature", "feature-based architecture", "slice architecture", or when building a new app or feature and the project already follows VSA conventions. Also use when reviewing or refactoring code to align with VSA principles.
System-level input polling and player movement control in Decentraland. Covers inputSystem, InputModifier, PointerLock, and PrimaryPointerInfo. Use when the user wants continuous key polling, WASD-controlled entities, to freeze the player during a cutscene, FPS-style cursor lock, or multi-key combo patterns. For event-driven clicks and hover on entities see add-interactivity.
Build autonomous AI agents with Claude Agent SDK. Structured outputs guarantee JSON schema validation, with plugins system and hooks for event-driven workflows. Prevents 14 documented errors. Use when: building coding agents, SRE systems, security auditors, or troubleshooting CLI not found, structured output validation, session forking errors, MCP config issues, subagent cleanup.
Event sourcing patterns for storing state as a sequence of events. Use when implementing event-driven architectures, CQRS, audit trails, or building systems requiring full history reconstruction.
Next-best-action frameworks for advisor workflows: event-driven triggers, prioritization scoring, action queuing, advisor nudges, automated workflows, personalized recommendations.
Microservices architecture patterns and design. Use when user asks to "design microservices", "service decomposition", "API gateway", "distributed transactions", "circuit breaker", "service mesh", "event-driven architecture", "saga pattern", "service discovery", or mentions microservices design patterns and distributed systems.
Avoid unnecessary useEffect in React components. Most uses of useEffect are anti-patterns — derived state, event-driven logic, data fetching, and external store subscriptions all have better, more idiomatic alternatives. Apply this skill when writing or reviewing React components that use useEffect.
Event Sourcing and CQRS patterns. Event stores, projections, snapshots, command handlers, query models, and eventual consistency. Covers EventStoreDB, Axon Framework, and custom implementations. USE WHEN: user mentions "event sourcing", "CQRS", "event store", "projection", "command handler", "read model", "write model", "EventStoreDB", "Axon" DO NOT USE FOR: simple event-driven architecture - use `event-driven`; message brokers - use messaging skills; DDD basics - use `ddd`