Agent Skills › staskh/trading_skills › report-stock

report-stock

GitHub

生成包含趋势、PMCC及基本面的专业股票分析报告。支持PDF和Markdown格式，整合多头扫描、财务指标、Piotroski评分及期权策略数据，输出推荐意见与详细分析。

.claude/skills/report-stock/SKILL.md staskh/trading_skills

触发场景

用户请求生成股票分析报告需要评估特定股票代码的投资价值要求获取包含技术面和基本面的综合研报

安装

npx skills add staskh/trading_skills --skill report-stock -g -y

更多选项

非标准路径

npx skills add https://github.com/staskh/trading_skills/tree/main/.claude/skills/report-stock -g -y

不安装直接使用

npx skills use staskh/trading_skills@report-stock

指定 Agent (Claude Code)

npx skills add staskh/trading_skills --skill report-stock -a claude-code -g -y

安装 repo 全部 skill

npx skills add staskh/trading_skills --all -g -y

预览 repo 内 skill

npx skills add staskh/trading_skills --list

SKILL.md

Frontmatter

{
    "name": "report-stock",
    "arguments": [
        {
            "name": "symbols",
            "required": true,
            "description": "Stock ticker symbol(s) - single or space-separated list (e.g., AAPL or \"AAPL MSFT GOOGL\")"
        }
    ],
    "description": "Generate comprehensive stock analysis report (PDF or markdown) with trend, PMCC, and fundamental analysis",
    "dependencies": [
        "trading-skills"
    ],
    "user_invocable": true
}

Stock Analysis Report Generator

Generates professional reports with comprehensive stock analysis including trend analysis, PMCC viability, and fundamental metrics. Supports both PDF and markdown output formats.

Instructions

Step 1: Gather Data

Run the report script for each symbol:

uv run python scripts/report.py SYMBOL

The script returns detailed JSON with:

recommendation - Overall recommendation with strengths/risks
company - Company info (name, sector, industry, market cap)
trend_analysis - Bullish scanner results (score, RSI, MACD, ADX, SMAs)
pmcc_analysis - PMCC viability (score, LEAPS/short details, metrics)
fundamentals - Valuation, profitability, dividend, balance sheet, earnings history
piotroski - F-Score breakdown with all 9 criteria
spread_strategies - Option spread analysis (vertical spreads, straddle, strangle, iron condor)

Step 2: Generate Report

Step 2a — Write markdown

Read templates/markdown-template.md for formatting instructions. Generate a markdown report from the JSON data and save to sandbox/ as:

sandbox/{SYMBOL}_Analysis_Report_{YYYY-MM-DD}_{HHmm}.md

Step 2b — Convert to PDF (if requested)

Invoke the markdown-to-pdf skill on the markdown file just created:

uv run python .claude/skills/markdown-to-pdf/scripts/markdown_to_pdf.py sandbox/{SYMBOL}_Analysis_Report_{YYYY-MM-DD}_{HHmm}.md

The PDF is written alongside the markdown file with the same basename.

Step 3: Report Results

After generating the report, tell the user:

The recommendation (BUY/HOLD/AVOID)
Key strengths and risks
The report file path

Example

# Single symbol
uv run python scripts/report.py AAPL

# Multiple symbols - run separately
uv run python scripts/report.py AAPL
uv run python scripts/report.py MSFT

Report Contents

All sections defined in templates/markdown-template.md:

Header — symbol, company name, generated timestamp
Recommendation — BUY/HOLD/AVOID with strengths and risks
Company Overview — sector, industry, market cap, beta
Trend Analysis — bullish score, RSI, MACD, ADX, SMA distances, earnings date, signals list
Fundamental Analysis — valuation (P/E, P/B, EPS), profitability (margins, ROE, ROA, growth), dividend & balance sheet, earnings history (up to 8 quarters)
Piotroski F-Score — all 9 criteria with PASS/FAIL
Insider Trading — net sentiment, buy/sell counts, recent transactions (omitted if no data)
PMCC Viability — score, IV, LEAPS/short leg details, trade metrics (yield, capital required)
Option Spread Strategies — bull call, bear put, straddle, strangle, iron condor
Investment Summary — strengths and risk factors
Disclaimer footer

Dependencies

This skill aggregates data from:

scanner-bullish for trend analysis
scanner-pmcc for PMCC viability
fundamentals for financial data and Piotroski score

Timezone

All timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.