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Found 37 Skills
Comprehensive guide for developing WebGPU-enabled Three.js applications using TSL (Three.js Shading Language). Covers WebGPU renderer setup, TSL syntax and node materials, compute shaders, post-processing effects, and WGSL integration. Use this skill when working with Three.js WebGPU, TSL shaders, node materials, or GPU compute in Three.js.
Three.js performance optimization and best practices guidelines. Use when writing, reviewing, or optimizing Three.js code. Triggers on tasks involving 3D scenes, WebGL/WebGPU rendering, geometries, materials, textures, lighting, shaders, or TSL.
Building three.js scenes from React with React Three Fiber and drei: renderer setup, the scene graph as JSX, frame-loop, state and loading hooks, pointer events, and adaptive performance, on WebGL or with WebGPU and TSL. Use when writing React components that render three.js.
Build or migrate Three.js WebGPURenderer, TSL node materials, and GPU compute features.
three.js node-based shading: Nodes API surface, NodeMaterial and MeshStandardNodeMaterial-style families, TSL (Three.js Shading Language) entry at TSL.html, WebGPURenderer pairing, and core PostProcessing (class) versus addon EffectComposer at a high level. Use when authoring shaders as graphs, using TSL builtins, compute-oriented nodes, or modern WebGPU pipelines; for classic MeshStandardMaterial, MeshPhysicalMaterial, and string-based ShaderMaterial GLSL use threejs-materials; for stock EffectComposer + Pass passes use threejs-postprocessing; for WebGLRenderer-only tuning without nodes use threejs-renderers.
Generate professional investment reports for stocks and ETFs. Use when user requests market analysis, investment reports, stock analysis, or trading recommendations for financial instruments (SPY, AAPL, TSLA, etc.). Creates institutional-grade reports with technical indicators, AI-powered insights, charts, and investment recommendations.
Fetch financial and market data using the yfinance Python library. Use this skill whenever the user asks for stock prices, historical data, financial statements, options chains, dividends, earnings, analyst recommendations, or any market data. Triggers include: any mention of stock price, ticker symbol (AAPL, MSFT, TSLA, etc.), "get me the financials", "show earnings", "what's the price of", "download stock data", "options chain", "dividend history", "balance sheet", "income statement", "cash flow", "analyst targets", "institutional holders", "compare stocks", "screen for stocks", or any request involving Yahoo Finance data. Always use this skill even if the user only provides a ticker — infer intent from context.
Get real-time stock prices and financial info for US stocks (like AAPL, TSLA, NVDA).
Builds 3D web experiences with Three.js, WebGPU rendering, TSL shaders, and React Three Fiber. Covers scene setup, asset optimization, performance tuning, and React 19 integration. Use when creating 3D scenes, setting up WebGPU rendering, writing TSL shaders, optimizing draw calls, or integrating Three.js with React and Next.js.
This skill should be used when the user asks to "create a 3D scene", "add a mesh", "implement OrbitControls", "load a GLTF model", "add bloom post-processing", "write a custom shader", "create particle effects", "optimize Three.js performance", "use WebGPU", "add shadows", "animate a model", or mentions Three.js, threejs, WebGL, WebGPU, GLTF, raycaster, shader material, PBR material, or post-processing effects. IMPORTANT: This skill is for VANILLA Three.js (imperative JavaScript). For React Three Fiber (@react-three/fiber, R3F, drei), check the `r3f-best-practices` skill, although three-js skills helps when working with R3F since R3F is a React renderer for Three.js. Provides complete Three.js reference for 3D web graphics including scene setup, geometry, materials, textures, lighting, cameras, loaders, animation, controls, interaction, shaders, post-processing, performance optimization, TSL/node materials, WebGPU, physics, and VR/XR integration.
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.
Generate a pre-earnings briefing for any stock using Yahoo Finance data. Use this skill whenever the user wants to prepare for an upcoming earnings report, understand what analysts expect, review a company's beat/miss track record, or get a quick overview before an earnings call. Triggers include: "earnings preview for AAPL", "what to expect from TSLA earnings", "MSFT reports next week", "earnings preview", "pre-earnings analysis", "what are analysts expecting for NVDA", "earnings estimates for", "will GOOGL beat earnings", "earnings beat/miss history", "upcoming earnings", "before earnings", "earnings setup", "consensus estimates", "earnings whisper", "EPS expectations", "what's the street expecting", "earnings season preview", any mention of preparing for or previewing an earnings report, or any request to understand expectations ahead of a company's earnings date. Always use this skill when the user mentions a ticker in context of upcoming earnings, even if they don't say "preview" explicitly.