使用 opencli（唯讀）讀取 Twitter/X 以進行金融研究。每當使用者想要閱讀 Twitter 動態、搜尋金融推文、檢視書籤、查詢使用者個人資料或從 Twitter/X 收集市場情緒時，均可使用此技能。
此技能允許 AI 代理程式透過 opencli 以唯讀方式存取 Twitter/X，專為金融研究與市場情緒分析設計。它支援閱讀使用者的 Twitter 動態、搜尋金融相關推文、檢視書籤、查詢使用者個人資料以及監控特定主題（如股票代碼或市場趨勢）的趨勢。此工具主要用於無需寫入權限的場景，例如收集市場新聞、分析情緒或追蹤特定帳戶（如 @elonmusk）的推文。它相容於多種 AI 代理平台（包括 Claude Code 和 Cursor），並使用開放式 CLI 標準進行安全、僅限讀取的 Twitter API 互動。此技能明確為唯讀，不支援發布、按讚或轉發等寫入操作，確保嚴格防止對 Twitter/X 帳戶進行未經授權的修改。
npx skills add https://github.com/himself65/finance-skills/tree/main/skills/twitter-readerInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
使用 opencli（唯讀）讀取 Twitter/X 以進行金融研究。每當使用者想要閱讀 Twitter 動態、搜尋金融推文、檢視書籤、查詢使用者個人資料或從 Twitter/X 收集市場情緒時，均可使用此技能。觸發詞包括：「檢查我的動態」、「搜尋 Twitter 關於」、「顯示我的書籤」、「誰追蹤」、「查詢 @user」、「什麼趨勢關於」、「Twitter 上的市場情緒」、「人們對 AAPL 說什麼」、「來自 @elonmusk 的最新推文」、「顯示 @user 的貼文」、「fintwit」，以及任何在閱讀金融新聞或市場研究情境下提及 Twitter/X 的內容。此技能為唯讀 — 它不支援發布、按讚、轉發或任何寫入操作。
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.
Generate an interactive options payoff curve chart with dynamic parameter controls. Use this skill whenever the user shares an options position screenshot, describes an options strategy, or asks to visualize how an options trade makes or loses money. Triggers include: any mention of butterfly, spread (vertical/calendar/diagonal/ratio), straddle, strangle, condor, covered call, protective put, iron condor, or any multi-leg options structure. Also triggers when a user pastes strike prices, premiums, expiry dates, or says things like "show me the payoff", "draw the P&L curve", "what does this trade look like", or uploads a screenshot from a broker (IBKR, TastyTrade, Robinhood, etc). Always use this skill even if the user only provides partial info — extract what you can and use defaults for the rest.
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.
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.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.