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Stock Analysis

This generates comprehensive sentiment reports for individual stocks by pulling data from multiple sources and organizing bull versus bear perspectives. It aggregates blogger opinions, searches for detailed viewpoints, checks who actually holds positions, and formats everything into a structured breakdown with sentiment scores, key arguments from both sides, and risk factors. The multilingual triggers (English and Chinese) suggest it's built for cross-language markets. What's useful here is the structured comparison of conflicting views rather than a single take, though you'll want to verify the underlying data sources are actually reliable since the skill doesn't specify where sentiment scores come from.

skills.sh installs
981
GitHub stars
7
last updated
Aug 21, 2026

Install

$ npx -y skills add alphamoemoe/foci --skill stock-analysis --agent claude-code

Installs into .claude/skills of the current project.

Files

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
    

Sponsors

Details

Repository
github.com/alphamoemoe/foci
Category
Finance & Trading
First seen
May 16, 2026

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