About report-stock
A stock-reporting skill that combines trend, fundamental, PMCC, and options-spread analysis in Markdown reports, with optional PDF output. It is for workflows that need a structured view of a ticker’s metrics, strengths, and risks.
Key features
- 01Trend and fundamental analysis
- 02PMCC viability assessment
- 03Piotroski F-Score analysis
- 04Options spread strategy analysis
- 05Markdown reports with optional PDF
Use cases
- 01Summarize a ticker’s BUY, HOLD, or AVOID recommendation
- 02Compare trend and fundamental metrics across tickers
- 03Compile PMCC and options spread strategy details
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ staskh/ trading_skills --skill report-stockAfter installing, type/report-stockin Claude Code to confirm it loaded.
Bundled filesscripts/report.pytemplates/markdown-template.md
Details
From the project READMEStock 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/riskscompany- 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 historypiotroski- F-Score breakdown with all 9 criteriaspread_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-bullishfor trend analysisscanner-pmccfor PMCC viabilityfundamentalsfor 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.