artifacts/bundle/skills/finance/financial-analyst/SKILL.md
# Financial Analyst Skill ## Overview Production-ready financial analysis toolkit providing ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction. Designed for financial modeling, forecasting & budgeting, management reporting, business performance analysis, and investment analysis. ## 5-Phase Workflow ### Phase 1: Scoping - Define analysis objectives and stakeholder requirements - Identify data sources and time periods - Establish materiality thresholds
npx skillsauth add neekware/ehayeskills artifacts/bundle/skills/finance/financial-analystInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Production-ready financial analysis toolkit providing ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction. Designed for financial modeling, forecasting & budgeting, management reporting, business performance analysis, and investment analysis.
scripts/ratio_calculator.py)Calculate and interpret financial ratios from financial statement data.
Ratio Categories:
python scripts/ratio_calculator.py sample_financial_data.json
python scripts/ratio_calculator.py sample_financial_data.json --format json
python scripts/ratio_calculator.py sample_financial_data.json --category profitability
scripts/dcf_valuation.py)Discounted Cash Flow enterprise and equity valuation with sensitivity analysis.
Features:
python scripts/dcf_valuation.py valuation_data.json
python scripts/dcf_valuation.py valuation_data.json --format json
python scripts/dcf_valuation.py valuation_data.json --projection-years 7
scripts/budget_variance_analyzer.py)Analyze actual vs budget vs prior year performance with materiality filtering.
Features:
python scripts/budget_variance_analyzer.py budget_data.json
python scripts/budget_variance_analyzer.py budget_data.json --format json
python scripts/budget_variance_analyzer.py budget_data.json --threshold-pct 5 --threshold-amt 25000
scripts/forecast_builder.py)Driver-based revenue forecasting with rolling cash flow projection and scenario modeling.
Features:
python scripts/forecast_builder.py forecast_data.json
python scripts/forecast_builder.py forecast_data.json --format json
python scripts/forecast_builder.py forecast_data.json --scenarios base,bull,bear
| Reference | Purpose |
| ------------------------------------------ | -------------------------------------------------------------------------------------------------------- |
| references/financial-ratios-guide.md | Ratio formulas, interpretation, industry benchmarks |
| references/valuation-methodology.md | DCF methodology, WACC, terminal value, comps |
| references/forecasting-best-practices.md | Driver-based forecasting, rolling forecasts, accuracy |
| references/industry-adaptations.md | Sector-specific metrics and considerations (SaaS, Retail, Manufacturing, Financial Services, Healthcare) |
| Template | Purpose |
| ------------------------------------ | -------------------------------- |
| assets/variance_report_template.md | Budget variance report template |
| assets/dcf_analysis_template.md | DCF valuation analysis template |
| assets/forecast_report_template.md | Revenue forecast report template |
| Metric | Target | | ---------------------------- | ---------------------------- | | Forecast accuracy (revenue) | +/-5% | | Forecast accuracy (expenses) | +/-3% | | Report delivery | 100% on time | | Model documentation | Complete for all assumptions | | Variance explanation | 100% of material variances |
All scripts accept JSON input files. See assets/sample_financial_data.json for the complete input schema covering all four tools.
None - All scripts use Python standard library only (math, statistics, json, argparse, datetime). No numpy, pandas, or scipy required.
Creator: Finance License: MIT Source Repo:
neekware/ehaye-skillsSource Bucket:financeOriginal Path:finance/financial-analyst
tools
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development
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