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himself65/twitter-reader

Lies Twitter/X für Finanzrecherchen mittels opencli (schreibgeschützt). Nutze diesen Skill, wenn der Nutzer seinen Twitter-Feed lesen, nach Finanz-Tweets suchen, Lesezeichen anzeigen, Benutzerprofile abrufen oder Marktstimmungen auf Twitter/X erfassen möchte.

Was ist twitter-reader?

Dieser Skill ermöglicht es KI-Agenten, Twitter/X schreibgeschützt zu durchsuchen und zu analysieren – speziell optimiert für Finanzrecherchen und Marktstimmungsanalysen. Er unterstützt das Lesen des persönlichen Feeds, die Suche nach Tweets (z. B. von @elonmusk oder zu Themen wie AAPL), das Abrufen von Lesezeichen, das Anzeigen von Benutzerprofilen sowie das Erkennen von Trends und Stimmungen. Der Skill ist vollständig schreibgeschützt und unterstützt keine Veröffentlichungen, Likes oder Retweets. Er wird über opencli angesteuert und eignet sich besonders für Fälle wie „fintwit“ oder allgemeine Marktbeobachtungen auf Twitter/X.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/himself65/finance-skills/tree/main/skills/twitter-reader

Installed? Explore more Recherche & Datenanalyse skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →

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Dokumentation

Was macht twitter-reader?

Lies Twitter/X für Finanzrecherchen mittels opencli (schreibgeschützt). Nutze diesen Skill, wenn der Nutzer seinen Twitter-Feed lesen, nach Finanz-Tweets suchen, Lesezeichen anzeigen, Benutzerprofile abrufen oder Marktstimmungen auf Twitter/X erfassen möchte. Auslöser sind: "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", sowie jede Erwähnung von Twitter/X im Zusammenhang mit dem Lesen von Finanznachrichten oder Marktforschung. Dieser Skill ist SCHREIBGESCHÜTZT – er unterstützt KEIN Posten, Liken, Retweeten oder andere Schreiboperationen.

Individual skills in this repo

This repo contains 5 individual skills — each has its own dedicated page.

himself65/generative-ui

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.

himself65/hormuz-strait

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.

himself65/options-payoff

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.

himself65/stock-correlation

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.

himself65/yfinance-data

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.

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affaan-m/literature-review

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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.

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