Agent skill · Code Review & Quality

us-stock-analysis

Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.

BaggaT236github.com/BaggaT236GitHub ↗
claude-codeMIT
Install
npx skills add BaggaT236/AI-Trading-Skills --skill us-stock-analysis --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 5
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/us-stock-analysis/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 118
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# US Stock Analysis ## Overview Perform comprehensive analysis of US stocks covering fundamental analysis (financials, business quality, valuation), technical analysis (indicators, trends, patterns), peer comparisons, and generate detailed investment reports. Fetch real-time market data via web search tools and apply structured analytical frameworks. ## Data Sources Always use web search tools to gather current market data: **Primary Data to Fetch:** 1. **Current stock price and trading data** (price, volume, 52-week range) 2. **Financial statements** (income statement, balance sheet, cash flow) 3. **Key metrics** (P/E, EPS, revenue, margins, debt ratios) 4. **Analyst ratings and price targets** 5. **Recent news and developments** 6. **Peer/competitor data** (for comparisons) 7. **Technical data** (moving averages, RSI, MACD when available) **Search Strategy:** - Use ticker symbol + specific data needed (e.g., "AAPL financial metrics 2024") - For comprehensive data: Search for earnings reports, investor presentations, or SEC filings - For technical data: Search for "AAPL technical analysis" or use financial data sites - Always verify data recency (prefer data from last quarter) **Q

What's inside
Steps it walks through
  1. Overview
  2. Data Sources
  3. Analysis Types
  4. Analysis Workflows
  5. 1. Basic Stock Information
  6. 2. Fundamental Analysis
  7. 3. Technical Analysis
  8. 4. Comprehensive Investment Report
  9. Stock Comparison Analysis
  10. Output Guidelines
  11. Reference Files
  12. Example Queries
Ships with 4 files
  • references/financial-metrics.md
  • references/fundamental-analysis.md
  • references/report-template.md
  • references/technical-analysis.md
More from AI-Trading-Skills
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About this skill
What does the us-stock-analysis skill do?

Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.

How do I install it?

Run `npx skills add BaggaT236/AI-Trading-Skills --skill us-stock-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BaggaT236/AI-Trading-Skills, a repository with 118 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going