stock-analysis

alphamoemoe/foci · updated Apr 8, 2026

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$npx skills add https://github.com/alphamoemoe/foci --skill stock-analysis
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summary

Comprehensive sentiment analysis report for individual stocks with bull and bear breakdowns.

  • Aggregates sentiment scores and viewpoint counts across multiple bloggers for a single ticker
  • Retrieves detailed arguments from both bullish and bearish perspectives with direct quotes and attribution
  • Identifies blogger positions and conviction levels (heavy/light holdings) to gauge skin-in-the-game confidence
  • Compiles risk factors and presents findings in a structured report format withou
skill.md

Comprehensive Stock Analysis

Generate a complete sentiment analysis report for a single stock.

Triggers

  • "分析 NVDA"
  • "NVDA 怎么样"
  • "analyze TSLA"
  • "what about AAPL"
  • "帮我看看 AMD"
  • /stock-analysis NVDA
  • /stock-analysis {ticker}

Arguments

  • ticker - Stock ticker to analyze (required)

Instructions

When the user wants a comprehensive analysis of a stock, follow these steps:

  1. Get Sentiment Data Call get_ticker_sentiment(ticker) to get overall sentiment and breakdown by blogger.

  2. Search Related Viewpoints Call search_viewpoints(ticker) to find all detailed opinions.

  3. Find Who Holds It Call get_blogger_positions for bloggers who mentioned the stock to understand their conviction level.

  4. Compile Analysis Create a comprehensive report covering:

    • Overall sentiment score
    • Bull vs bear breakdown
    • Key arguments from both sides
    • Notable bloggers with positions
    • Risk factors mentioned
  5. Present Results Format the output as:

    ## TICKER 综合分析报告
    
    ### 情绪概览
    
    | 指标 | 数值 |
    |------|------|
    | 整体情绪 | 🟢 看涨 (X/10) |
    | 看涨博主 | X 位 |
    | 看跌博主 | X 位 |
    | 中性/观望 | X 位 |
    | 总提及次数 | XX |
    
    ### 多方观点 🐂
    
    **核心论点:**
    1. [论点1] — 博主A (XX万粉丝)
    2. [论点2] — 博主B
    3. [论点3] — 博主C
    
    **代表观点:**
    > "[详细观点引用]"
    > — 博主A, 2025-01-20
    
    ### 空方观点 🐻
    
    **核心论点:**
    1. [论点1] — 博主D
    2. [论点2] — 博主E
    
    **代表观点:**
    > "[详细观点引用]"
    > — 博主D, 2025-01-19
    
    ### 持仓博主
    
    | 博主 | 态度 | 持仓情况 |
    |------|------|----------|
    | 博主A | 看涨 | 重仓 |
    | 博主B | 观望 | 轻仓 |
    
    ### 风险提示 ⚠️
    
    - [风险1]: [描述]
    - [风险2]: [描述]
    
    ### 总结
    [客观总结各方观点,不做买卖建议]
    

Tool Sequence

  1. get_ticker_sentiment(ticker) → Get sentiment breakdown
  2. search_viewpoints(ticker) → Get detailed viewpoints
  3. list_bloggers → Get blogger info (if needed for context)
  4. get_blogger_positions(blogger) → For key bloggers mentioning the stock
  5. Compile comprehensive report

Notes

  • Present all viewpoints fairly, both bull and bear
  • Include specific quotes when available
  • Do NOT give buy/sell recommendations
  • Highlight consensus and divergence
  • Note the recency of viewpoints
how to use stock-analysis

How to use stock-analysis on Cursor

AI-first code editor with Composer

1

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
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/alphamoemoe/foci --skill stock-analysis

The skills CLI fetches stock-analysis from GitHub repository alphamoemoe/foci and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/stock-analysis

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

GET_STARTED →

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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.745 reviews
  • Ira Nasser· Dec 16, 2024

    stock-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Dhruvi Jain· Dec 12, 2024

    Keeps context tight: stock-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Naina Sharma· Dec 12, 2024

    We added stock-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ira Yang· Dec 8, 2024

    I recommend stock-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Hiroshi Iyer· Dec 4, 2024

    Keeps context tight: stock-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Maya Liu· Nov 23, 2024

    Registry listing for stock-analysis matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sofia Agarwal· Nov 7, 2024

    stock-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Oshnikdeep· Nov 3, 2024

    Registry listing for stock-analysis matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Naina Kapoor· Nov 3, 2024

    Solid pick for teams standardizing on skills: stock-analysis is focused, and the summary matches what you get after install.

  • Carlos Sanchez· Oct 26, 2024

    We added stock-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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