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Found 151 Skills
Factor research framework for evaluating single-factor effectiveness across A-shares, HK, and US stocks — information coefficient (IC), information ratio (IR), decile portfolio backtests, and IC decay (serial autocorrelation). Triggers: "因子研究", "IC分析", "信息比率", "分层回测", "因子有效性", "单因子测试", "因子衰减", "因子评估", "IC分析", "信息比率", "分層回測", "因子有效性", "單因子測試", "factor research", "information coefficient", "IC", "IR information ratio", "factor backtest", "decile portfolio", "factor decay", "factor effectiveness".
Comprehensive market scanner — combines real-time quotes, capital flow (large/medium/small order distribution), and candlestick data for multi-symbol technical analysis (MACD / RSI / Bollinger Bands computed from OHLCV). Supports batch multi-symbol scanning. Triggers: "行情扫描", "综合行情", "多标的扫描", "行情数据", "实时行情综合", "技术+资金综合", "行情指标", "行情監控", "行情掃描", "綜合行情", "多標的掃描", "技術+資金綜合", "market scanner", "comprehensive quote", "multi-stock scan", "real-time data", "market data query", "technical plus capital flow", "market overview", "batch quote", "technical indicators", "MACD RSI scan".
Competitive landscape analysis — builds a competitive structure research framework covering market positioning (Porter five-forces), peer cross-comparison (PE/PB/ROE/revenue growth), market share estimation, competitive advantage assessment (moat), and potential disruptor identification. Triggers: "竞争格局", "竞争分析", "行业竞争", "市场份额", "竞争对手", "护城河", "波特五力", "竞争优势", "競爭格局", "競爭分析", "行業競爭", "市場份額", "競爭對手", "護城河", "波特五力", "competitive analysis", "competitive landscape", "market share", "competitive moat", "Porter five forces", "industry competition", "competitive advantage", "market positioning", "moat analysis", "NVDA vs AMD", "who are the competitors".
Action definitions and keyboard shortcuts in GPUI. Use when implementing actions, keyboard shortcuts, or key bindings.
Create story examples for components. Use when writing stories, creating examples, or demonstrating component usage.
Generate documentation for new components. Use when writing docs, documenting components, or creating component documentation.
Layout and styling in GPUI. Use when styling components, layout systems, or CSS-like properties.
Context management in GPUI including App, Window, and AsyncApp. Use when working with contexts, entity updates, or window operations. Different context types provide different capabilities for UI rendering, entity management, and async operations.
Write a description to description GitHub Pull Request.
Async operations and background tasks in GPUI. Use when working with async, spawn, background tasks, or concurrent operations. Essential for handling async I/O, long-running computations, and coordinating between foreground UI updates and background work.
Focus management and keyboard navigation in GPUI. Use when handling focus, focus handles, or keyboard navigation. Enables keyboard-driven interfaces with proper focus tracking and navigation between focusable elements.
Implementing custom elements using GPUI's low-level Element API (vs. high-level Render/RenderOnce APIs). Use when you need maximum control over layout, prepaint, and paint phases for complex, performance-critical custom UI components that cannot be achieved with Render/RenderOnce traits.