stock-analysis 是做什么的？
利用雅虎财经数据分析股票和加密货币。支持投资组合管理（创建、添加、移除资产）、加密货币分析（按市值排名前20）以及定期绩效报告（每日/每周/每月/每季度/每年）。为股票提供8个分析维度，为加密货币提供3个分析维度。适用于股票分析、投资组合追踪、财报反应或加密货币监控。
利用雅虎财经数据分析股票和加密货币。支持投资组合管理（创建、添加、移除资产）、加密货币分析（按市值排名前20）以及定期绩效报告（每日/每周/每月/每季度/每年）。为股票提供8个分析维度，为加密货币提供3个分析维度。适用于股票分析、投资组合追踪、财报反应或加密货币监控。
该技能利用雅虎财经（Yahoo Finance）的数据，为开发者和AI代理用户提供全面的股票与加密货币分析能力。它支持创建和管理投资组合、分析按市值排名前20的加密货币，并生成日、周、月、季、年等不同时间维度的绩效报告。对于股票，它提供包括趋势、波动性、估值在内的8个分析维度；对于加密货币，则提供3个关键维度。此技能特别适合需要实时监控市场、追踪投资组合表现或对财报发布做出快速反应的场景。它简化了与金融数据交互的复杂性，使AI代理能直接根据数据输出结构化分析结果。
npx skills add https://github.com/gracefullight/stock-checker/tree/main/skills/stock-analysisInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
利用雅虎财经数据分析股票和加密货币。支持投资组合管理（创建、添加、移除资产）、加密货币分析（按市值排名前20）以及定期绩效报告（每日/每周/每月/每季度/每年）。为股票提供8个分析维度，为加密货币提供3个分析维度。适用于股票分析、投资组合追踪、财报反应或加密货币监控。
This repo contains 3 individual skills — each has its own dedicated page.
Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity curves, and optimizes strategy parameters. Use when user wants to test a trading strategy, validate signals, or compare approaches. Trigger with phrases like "backtest strategy", "test trading strategy", "historical performance", "simulate trades", "optimize parameters", or "validate signals".
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.
Get stock prices, quotes, fundamentals, earnings, options, dividends, and analyst ratings using Yahoo Finance. Uses yfinance library - no API key required.
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.