stock-analysis▌
claude-office-skills/skills · updated Apr 8, 2026
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Multi-market stock analysis with fundamental and technical evaluation across US, China A-shares, and Hong Kong equities.
- ›Covers fundamental metrics (P/E, P/B, ROE, margins, growth rates) and technical patterns (moving averages, support/resistance, momentum indicators)
- ›Generates structured analysis reports including valuation assessment, peer comparison, risk factors, and investment thesis
- ›Supports quick overview or deep-dive analysis modes with customizable focus areas
- ›Works with
Stock Analysis Skill
Overview
I help you analyze stocks using fundamental and technical analysis methods. I can evaluate companies across US, China A-shares, and Hong Kong markets.
What I can do:
- Fundamental analysis (P/E, P/B, ROE, revenue growth, margins)
- Technical analysis (trend, support/resistance, indicators)
- Peer comparison and industry positioning
- Risk assessment and investment thesis
- Generate structured analysis reports
What I cannot do:
- Provide real-time stock prices (use external data sources)
- Give investment advice or recommendations
- Guarantee future performance
- Access proprietary trading data
How to Use Me
Step 1: Provide Company Information
Tell me:
- Stock ticker/code (e.g., AAPL, 600519.SH, 0700.HK)
- Market (US/China A-shares/Hong Kong)
- Or provide financial data directly
Step 2: Choose Analysis Type
- Quick Analysis: Key metrics overview
- Deep Dive: Comprehensive fundamental analysis
- Technical Review: Chart patterns and indicators
- Peer Comparison: Compare with competitors
Step 3: Receive Analysis Report
I'll provide a structured report with:
- Company overview
- Key financial metrics
- Valuation assessment
- Risk factors
- Investment thesis
Analysis Framework
Fundamental Analysis Metrics
Valuation Ratios
| Metric | Formula | Interpretation |
|---|---|---|
| P/E Ratio | Price / EPS | <15 undervalued, >25 expensive |
| P/B Ratio | Price / Book Value | <1 potential value, >3 growth priced in |
| P/S Ratio | Price / Revenue | Useful for unprofitable companies |
| EV/EBITDA | Enterprise Value / EBITDA | <10 attractive, >15 expensive |
| PEG Ratio | P/E / Growth Rate | <1 undervalued relative to growth |
Profitability Metrics
| Metric | Formula | Good Benchmark |
|---|---|---|
| Gross Margin | Gross Profit / Revenue | >40% strong pricing power |
| Operating Margin | Operating Income / Revenue | >15% efficient operations |
| Net Margin | Net Income / Revenue | >10% healthy profitability |
| ROE | Net Income / Shareholder Equity | >15% good capital efficiency |
| ROIC | NOPAT / Invested Capital | >WACC value creation |
Growth Metrics
| Metric | What to Look For |
|---|---|
| Revenue Growth | >10% YoY indicates strong demand |
| EPS Growth | Should outpace revenue (operating leverage) |
| FCF Growth | Sustainable growth driver |
Financial Health
| Metric | Formula | Safe Range |
|---|---|---|
| Debt/Equity | Total Debt / Equity | <1 for most industries |
| Current Ratio | Current Assets / Current Liabilities | >1.5 healthy liquidity |
| Interest Coverage | EBIT / Interest Expense | >5 comfortable |
| FCF Yield | FCF / Market Cap | >5% attractive |
Technical Analysis Patterns
Trend Indicators
- Moving Averages: 50-day, 200-day crossovers
- MACD: Momentum and trend direction
- RSI: Overbought (>70) / Oversold (<30)
Chart Patterns
- Support/Resistance: Key price levels
- Head and Shoulders: Reversal pattern
- Double Top/Bottom: Reversal signals
- Breakouts: Volume-confirmed moves
Output Format
# Stock Analysis Report: [TICKER]
**Company**: [Full Name]
**Market**: [Exchange]
**Sector**: [Industry]
**Analysis Date**: [Date]
---
## Executive Summary
[2-3 sentence overview of the company and investment thesis]
**Rating**: [Bullish / Neutral / Bearish]
**Risk Level**: [Low / Medium / High]
---
## Key Metrics at a Glance
| Metric | Value | vs Industry | Assessment |
|--------|-------|-------------|------------|
| P/E Ratio | XX.X | +/-XX% | [Undervalued/Fair/Expensive] |
| P/B Ratio | X.XX | +/-XX% | |
| ROE | XX.X% | +/-XX% | |
| Revenue Growth | XX.X% | +/-XX% | |
| Net Margin | XX.X% | +/-XX% | |
| Debt/Equity | X.XX | +/-XX% | |
---
## Fundamental Analysis
### Business Overview
[Description of business model, revenue streams, competitive advantages]
### Financial Performance
[Revenue trends, profitability, cash flow analysis]
### Valuation Assessment
[Fair value estimation, comparison to historical and peers]
---
## Technical Analysis
### Price Trend
[Current trend, key levels, momentum]
### Key Levels
- Support: $XX.XX
- Resistance: $XX.XX
- 52-week Range: $XX.XX - $XX.XX
---
## Risk Factors
1. [Risk 1]
2. [Risk 2]
3. [Risk 3]
---
## Investment Thesis
### Bull Case
[Positive scenario]
### Bear Case
[Negative scenario]
---
## Disclaimer
This analysis is for informational purposes only and does not constitute investment advice. Past performance does not guarantee future results.
Example
User Request
Analyze Apple (AAPL) stock. Focus on fundamental analysis and current valuation.
My Response
Stock Analysis Report: AAPL
Company: Apple Inc. Market: NASDAQ Sector: Technology / Consumer Electronics Analysis Date: January 2025
Executive Summary
Apple remains the world's most valuable company with a dominant ecosystem in consumer electronics and services. Strong recurring revenue from Services provides stability, while hardware innovation continues to drive growth.
Rating: Neutral Risk Level: Low
Key Metrics at a Glance
| Metric | Value | vs Industry | Assessment |
|---|---|---|---|
| P/E Ratio | 28.5 | +15% | Premium valuation |
| P/B Ratio | 45.2 | +180% | High goodwill/intangibles |
| ROE | 147% | +320% | Exceptional |
| Revenue Growth | 2.1% | -5% | Slowing |
| Net Margin | 25.3% | +85% | Industry-leading |
| Debt/Equity | 1.76 | +40% | Manageable |
[...continues with full analysis...]
Tips for Better Results
- Provide recent financials if available for more accurate analysis
- Specify your investment horizon (short-term trading vs long-term investing)
- Mention specific concerns you want me to address
- Include peer companies for comparison analysis
- Specify market context (bull/bear market conditions)
Limitations
- Cannot access real-time market data
- Analysis based on publicly available information only
- Does not account for insider information or pending announcements
- Valuation models have inherent assumptions and limitations
- Not a substitute for professional financial advice
Built by the Claude Office Skills community. Contributions welcome!
How to use stock-analysis on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add stock-analysis
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches stock-analysis from GitHub repository claude-office-skills/skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate stock-analysis. Access the skill through slash commands (e.g., /stock-analysis) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★34 reviews- ★★★★★Hiroshi Verma· Dec 28, 2024
We added stock-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Dhruvi Jain· Dec 12, 2024
stock-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★James Haddad· Dec 8, 2024
stock-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Noor Huang· Nov 19, 2024
stock-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Oshnikdeep· Nov 3, 2024
Keeps context tight: stock-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ganesh Mohane· Oct 22, 2024
We added stock-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Hassan Torres· Oct 10, 2024
stock-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Yusuf Thomas· Sep 25, 2024
I recommend stock-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Nikhil Nasser· Sep 17, 2024
stock-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Charlotte Zhang· Aug 16, 2024
Solid pick for teams standardizing on skills: stock-analysis is focused, and the summary matches what you get after install.
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