Stock Analysis Report Generator
SkillDocs & knowledgeGenerate comprehensive stock analysis report (PDF or markdown) with trend, PMCC, and fundamental analysis
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Stock Analysis Report Generator skill
What this skill tells your AI
The instructions your AI receives, as published by staskh/trading_skills in .claude/skills/report-stock/SKILL.md and read by ahel’s review.
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.
Signals
- GitHub stars
- 363
- Forks
- 81
- Last commit
- Sep 2026
ahel review
K6low
bundled executables the agent is told to run
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Catalog kind
- skill
- Gateway key
report-stock- Source
- github.com/staskh/trading_skills