生成互動式選擇權損益曲線圖，並提供動態參數控制。每當使用者分享選擇權持倉截圖、描述選擇權策略，或要求視覺化選擇權交易的盈虧時，請使用此技能。
此技能可根據使用者提供的選擇權部位資訊（如螢幕截圖、策略描述、履約價、權利金、到期日等），自動生成互動式選擇權損益曲線圖表。它支援多種常見選擇權策略，包括蝶式、價差（垂直/日曆/對角/比例）、跨式、勒式、禿鷹、掩護性買權、保護性賣權、鐵禿鷹以及任何多腿選擇權結構。即使使用者只提供部分資訊，該技能也能從中擷取可用數據，並以合理的預設值補齊其餘部分，從而產生完整的視覺化成果。主要支援的平台包括IBKR、TastyTrade、Robinhood等經紀商的截圖，也能處理文字描述的選擇權部位。輸出的圖表包含動態參數控制項，讓使用者可以即時調整價格、波動率等變數，深入探索不同情境下的損益變化。
npx skills add https://github.com/himself65/finance-skills/tree/main/skills/options-payoffInstalled? Explore more 影像 skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
生成互動式選擇權損益曲線圖，並提供動態參數控制。每當使用者分享選擇權持倉截圖、描述選擇權策略，或要求視覺化選擇權交易的盈虧時，請使用此技能。觸發條件包括：任何提及蝶式、價差（垂直/日曆/對角/比例）、跨式、勒式、禿鷹、掩護性買權、保護性賣權、鐵禿鷹或任何多腿選擇權結構。此外，當使用者貼出履約價、權利金、到期日，或說出「顯示損益圖」、「畫出損益曲線」、「這筆交易長怎樣」，或上傳來自經紀商（IBKR、TastyTrade、Robinhood 等）的截圖時，也會觸發此技能。即使使用者只提供部分資訊，也請一律使用此技能——從中擷取可用的資訊，並對其餘部分使用預設值。
This repo contains 5 individual skills — each has its own dedicated page.
Design system and guidelines for Claude's built-in generative UI — the show_widget tool that renders interactive HTML/SVG widgets inline in claude.ai conversations. This skill provides the complete Anthropic "Imagine" design system so Claude produces high-quality widgets without needing to call read_me first. Use this skill whenever the user asks to visualize data, create an interactive chart, build a dashboard, render a diagram, draw a flowchart, show a mockup, create an interactive explainer, or produce any visual content beyond plain text or markdown. Triggers include: "show me", "visualize", "draw", "chart", "dashboard", "diagram", "flowchart", "widget", "interactive", "mockup", "illustrate", "explain how X works" (with visual), or any request for visual/interactive output. Also triggers when the user wants to display financial data visually, create comparison grids, or build tools with sliders, toggles, or live-updating displays.
Check the current status of the Strait of Hormuz — shipping transit data, oil price impact, stranded vessels, insurance risk levels, diplomatic developments, and global trade impact. Use this skill whenever the user asks about the Strait of Hormuz, Hormuz chokepoint, Persian Gulf shipping risk, oil transit disruption, war risk premium in the Gulf, Middle East shipping routes, tanker traffic through Hormuz, oil supply chain risk, or geopolitical risk affecting energy markets. Triggers include: "Hormuz status", "Strait of Hormuz", "is Hormuz open", "shipping through the Gulf", "oil chokepoint", "Persian Gulf tanker traffic", "war risk premium", "Hormuz crisis", "energy supply chain risk", "oil transit disruption", "Middle East shipping", any mention of Hormuz or Persian Gulf in context of oil, shipping, or geopolitical risk.
Analyze stock correlations to find related companies and trading pairs. Use when the user asks about correlated stocks, related companies, sector peers, trading pairs, or how two or more stocks move together. Triggers: "what correlates with NVDA", "find stocks related to AMD", "correlation between AAPL and MSFT", "what moves with", "sector peers", "pair trading", "correlated stocks", "when NVDA drops what else drops", "stocks that move together", "beta to", "relative performance", "supply chain partners", "correlation matrix", "co-movement", "related tickers", "sympathy plays", "semiconductor peers", "hedging pair", "realized correlation", "rolling correlation", or any request about stocks that move in tandem or inversely. Also triggers for well-known pairs like AMD/NVDA, GOOGL/AVGO, LITE/COHR. If only one ticker is provided, infer the user wants correlated peers.
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my bookmarks", "who follows", "look up @user", "what's trending about", "market sentiment on Twitter", "what are people saying about AAPL", "recent tweets from @elonmusk", "show me @user's posts", "fintwit", any mention of Twitter/X in context of reading financial news or market research. This skill is READ-ONLY — it does NOT support posting, liking, retweeting, or any write operations.
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.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Add documentation for a new AI provider — usage docs, env vars, Docker config, image resources.
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.