opencli를 사용하여 재무 연구 목적으로 Twitter/X를 읽기 전용으로 읽습니다. 사용자가 Twitter 피드를 확인하거나, 재무 관련 트윗을 검색하거나, 북마크를 보거나, 사용자 프로필을 조회하거나, Twitter/X에서 시장 심리를 수집하고자 할 때 이 스킬을 사용하세요.
이 스킬은 개발자와 AI 에이전트 사용자가 재무 연구를 목적으로 Twitter/X를 읽기 전용으로 탐색할 수 있도록 합니다. opencli 도구를 기반으로 하여 사용자의 트위터 피드 확인, 재무 관련 트윗 검색, 북마크 조회, 사용자 프로필 검색, 특정 주제(예: AAPL)에 대한 시장 심리 수집 등을 지원합니다. 주요 트리거로는 "내 피드 확인", "트위터에서 검색", "북마크 보기", "@user 조회", "트렌딩 주제", "시장 심리", "@elonmusk의 최근 트윗" 등이 있으며, Fintwit 관련 논의에서도 자동 활성화됩니다. 이 스킬은 READ-ONLY(읽기 전용)로 설계되어 포스팅, 좋아요, 리트윗 등의 쓰기 작업은 지원하지 않으므로 안전하게 정보를 수집하는 데 적합합니다.
npx skills add https://github.com/himself65/finance-skills/tree/main/skills/twitter-readerInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
opencli를 사용하여 재무 연구 목적으로 Twitter/X를 읽기 전용으로 읽습니다. 사용자가 Twitter 피드를 확인하거나, 재무 관련 트윗을 검색하거나, 북마크를 보거나, 사용자 프로필을 조회하거나, Twitter/X에서 시장 심리를 수집하고자 할 때 이 스킬을 사용하세요. 트리거에는 다음이 포함됩니다: "내 피드 확인", "트위터에서 검색", "내 북마크 보기", "누가 팔로우하는지", "@user 조회", "무엇이 트렌딩인지", "트위터 시장 심리", "AAPL에 대한 사람들의 의견", "@elonmusk의 최근 트윗", "@user의 게시물 보기", "fintwit", 재무 뉴스나 시장 조사 맥락에서 Twitter/X에 대한 모든 언급. 이 스킬은 READ-ONLY(읽기 전용)이며, 게시, 좋아요, 리트윗 또는 쓰기 작업을 지원하지 않습니다.
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.