[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6EKPQM5ASR7VFDTH822JDEN":3,"skill-same:01M6EKPQM5ASR7VFDTH822JDEN":81},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":37,"linkOnly":38,"markdownContent":39,"markdownBody":40,"frontMatter":41,"refName":42,"commitSha":43,"skillDirectory":44,"forksCount":45,"repositoryHtmlUrl":46,"repositoryHomepageUrl":47,"ownerHtmlUrl":48,"ownerBlogUrl":6,"ownerDescription":49,"updatedAt":50,"install":51,"resources":64},"01M6EKPQM5ASR7VFDTH822JDEN","creating-financial-models",null,"This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions","ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",66,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Faiskillstore\u002Fmarketplace\u002Fanthropics\u002Fcreating-financial-models\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36],"models","creating financial models","testing","planning","analysis","decisions","dcf","financial modeling","investment","sensitivity","modeling","scenario","scenario planning","2026-11-10 10:12:30",false,"---\nname: creating-financial-models\ndescription: This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions\n---\n\n# Financial Modeling Suite\n\nA comprehensive financial modeling toolkit for investment analysis, valuation, and risk assessment using industry-standard methodologies.\n\n## Core Capabilities\n\n### 1. Discounted Cash Flow (DCF) Analysis\n- Build complete DCF models with multiple growth scenarios\n- Calculate terminal values using perpetuity growth and exit multiple methods\n- Determine weighted average cost of capital (WACC)\n- Generate enterprise and equity valuations\n\n### 2. Sensitivity Analysis\n- Test key assumptions impact on valuation\n- Create data tables for multiple variables\n- Generate tornado charts for sensitivity ranking\n- Identify critical value drivers\n\n### 3. Monte Carlo Simulation\n- Run thousands of scenarios with probability distributions\n- Model uncertainty in key inputs\n- Generate confidence intervals for valuations\n- Calculate probability of achieving targets\n\n### 4. Scenario Planning\n- Build best\u002Fbase\u002Fworst case scenarios\n- Model different economic environments\n- Test strategic alternatives\n- Compare outcome probabilities\n\n## Input Requirements\n\n### For DCF Analysis\n- Historical financial statements (3-5 years)\n- Revenue growth assumptions\n- Operating margin projections\n- Capital expenditure forecasts\n- Working capital requirements\n- Terminal growth rate or exit multiple\n- Discount rate components (risk-free rate, beta, market premium)\n\n### For Sensitivity Analysis\n- Base case model\n- Variable ranges to test\n- Key metrics to track\n\n### For Monte Carlo Simulation\n- Probability distributions for uncertain variables\n- Correlation assumptions between variables\n- Number of iterations (typically 1,000-10,000)\n\n### For Scenario Planning\n- Scenario definitions and assumptions\n- Probability weights for scenarios\n- Key performance indicators to track\n\n## Output Formats\n\n### DCF Model Output\n- Complete financial projections\n- Free cash flow calculations\n- Terminal value computation\n- Enterprise and equity value summary\n- Valuation multiples implied\n- Excel workbook with full model\n\n### Sensitivity Analysis Output\n- Sensitivity tables showing value ranges\n- Tornado chart of key drivers\n- Break-even analysis\n- Charts showing relationships\n\n### Monte Carlo Output\n- Probability distribution of valuations\n- Confidence intervals (e.g., 90%, 95%)\n- Statistical summary (mean, median, std dev)\n- Risk metrics (VaR, probability of loss)\n\n### Scenario Planning Output\n- Scenario comparison table\n- Probability-weighted expected values\n- Decision tree visualization\n- Risk-return profiles\n\n## Model Types Supported\n\n1. **Corporate Valuation**\n   - Mature companies with stable cash flows\n   - Growth companies with J-curve projections\n   - Turnaround situations\n\n2. **Project Finance**\n   - Infrastructure projects\n   - Real estate developments\n   - Energy projects\n\n3. **M&A Analysis**\n   - Acquisition valuations\n   - Synergy modeling\n   - Accretion\u002Fdilution analysis\n\n4. **LBO Models**\n   - Leveraged buyout analysis\n   - Returns analysis (IRR, MOIC)\n   - Debt capacity assessment\n\n## Best Practices Applied\n\n### Modeling Standards\n- Consistent formatting and structure\n- Clear assumption documentation\n- Separation of inputs, calculations, outputs\n- Error checking and validation\n- Version control and change tracking\n\n### Valuation Principles\n- Use multiple valuation methods for triangulation\n- Apply appropriate risk adjustments\n- Consider market comparables\n- Validate against trading multiples\n- Document key assumptions clearly\n\n### Risk Management\n- Identify and quantify key risks\n- Use probability-weighted scenarios\n- Stress test extreme cases\n- Consider correlation effects\n- Provide confidence intervals\n\n## Example Usage\n\n\"Build a DCF model for this technology company using the attached financials\"\n\n\"Run a Monte Carlo simulation on this acquisition model with 5,000 iterations\"\n\n\"Create sensitivity analysis showing impact of growth rate and WACC on valuation\"\n\n\"Develop three scenarios for this expansion project with probability weights\"\n\n## Scripts Included\n\n- `dcf_model.py`: Complete DCF valuation engine\n- `sensitivity_analysis.py`: Sensitivity testing framework\n\n## Limitations and Disclaimers\n\n- Models are only as good as their assumptions\n- Past performance doesn't guarantee future results\n- Market conditions can change rapidly\n- Regulatory and tax changes may impact results\n- Professional judgment required for interpretation\n- Not a substitute for professional financial advice\n\n## Quality Checks\n\nThe model automatically performs:\n1. Balance sheet balancing checks\n2. Cash flow reconciliation\n3. Circular reference resolution\n4. Sensitivity bound checking\n5. Statistical validation of Monte Carlo results\n\n## Updates and Maintenance\n\n- Models use latest financial theory and practices\n- Regular updates for market parameter defaults\n- Incorporation of regulatory changes\n- Continuous improvement based on usage patterns\n","# Financial Modeling Suite\n\nA comprehensive financial modeling toolkit for investment analysis, valuation, and risk assessment using industry-standard methodologies.\n\n## Core Capabilities\n\n### 1. Discounted Cash Flow (DCF) Analysis\n- Build complete DCF models with multiple growth scenarios\n- Calculate terminal values using perpetuity growth and exit multiple methods\n- Determine weighted average cost of capital (WACC)\n- Generate enterprise and equity valuations\n\n### 2. Sensitivity Analysis\n- Test key assumptions impact on valuation\n- Create data tables for multiple variables\n- Generate tornado charts for sensitivity ranking\n- Identify critical value drivers\n\n### 3. Monte Carlo Simulation\n- Run thousands of scenarios with probability distributions\n- Model uncertainty in key inputs\n- Generate confidence intervals for valuations\n- Calculate probability of achieving targets\n\n### 4. Scenario Planning\n- Build best\u002Fbase\u002Fworst case scenarios\n- Model different economic environments\n- Test strategic alternatives\n- Compare outcome probabilities\n\n## Input Requirements\n\n### For DCF Analysis\n- Historical financial statements (3-5 years)\n- Revenue growth assumptions\n- Operating margin projections\n- Capital expenditure forecasts\n- Working capital requirements\n- Terminal growth rate or exit multiple\n- Discount rate components (risk-free rate, beta, market premium)\n\n### For Sensitivity Analysis\n- Base case model\n- Variable ranges to test\n- Key metrics to track\n\n### For Monte Carlo Simulation\n- Probability distributions for uncertain variables\n- Correlation assumptions between variables\n- Number of iterations (typically 1,000-10,000)\n\n### For Scenario Planning\n- Scenario definitions and assumptions\n- Probability weights for scenarios\n- Key performance indicators to track\n\n## Output Formats\n\n### DCF Model Output\n- Complete financial projections\n- Free cash flow calculations\n- Terminal value computation\n- Enterprise and equity value summary\n- Valuation multiples implied\n- Excel workbook with full model\n\n### Sensitivity Analysis Output\n- Sensitivity tables showing value ranges\n- Tornado chart of key drivers\n- Break-even analysis\n- Charts showing relationships\n\n### Monte Carlo Output\n- Probability distribution of valuations\n- Confidence intervals (e.g., 90%, 95%)\n- Statistical summary (mean, median, std dev)\n- Risk metrics (VaR, probability of loss)\n\n### Scenario Planning Output\n- Scenario comparison table\n- Probability-weighted expected values\n- Decision tree visualization\n- Risk-return profiles\n\n## Model Types Supported\n\n1. **Corporate Valuation**\n   - Mature companies with stable cash flows\n   - Growth companies with J-curve projections\n   - Turnaround situations\n\n2. **Project Finance**\n   - Infrastructure projects\n   - Real estate developments\n   - Energy projects\n\n3. **M&A Analysis**\n   - Acquisition valuations\n   - Synergy modeling\n   - Accretion\u002Fdilution analysis\n\n4. **LBO Models**\n   - Leveraged buyout analysis\n   - Returns analysis (IRR, MOIC)\n   - Debt capacity assessment\n\n## Best Practices Applied\n\n### Modeling Standards\n- Consistent formatting and structure\n- Clear assumption documentation\n- Separation of inputs, calculations, outputs\n- Error checking and validation\n- Version control and change tracking\n\n### Valuation Principles\n- Use multiple valuation methods for triangulation\n- Apply appropriate risk adjustments\n- Consider market comparables\n- Validate against trading multiples\n- Document key assumptions clearly\n\n### Risk Management\n- Identify and quantify key risks\n- Use probability-weighted scenarios\n- Stress test extreme cases\n- Consider correlation effects\n- Provide confidence intervals\n\n## Example Usage\n\n\"Build a DCF model for this technology company using the attached financials\"\n\n\"Run a Monte Carlo simulation on this acquisition model with 5,000 iterations\"\n\n\"Create sensitivity analysis showing impact of growth rate and WACC on valuation\"\n\n\"Develop three scenarios for this expansion project with probability weights\"\n\n## Scripts Included\n\n- `dcf_model.py`: Complete DCF valuation engine\n- `sensitivity_analysis.py`: Sensitivity testing framework\n\n## Limitations and Disclaimers\n\n- Models are only as good as their assumptions\n- Past performance doesn't guarantee future results\n- Market conditions can change rapidly\n- Regulatory and tax changes may impact results\n- Professional judgment required for interpretation\n- Not a substitute for professional financial advice\n\n## Quality Checks\n\nThe model automatically performs:\n1. Balance sheet balancing checks\n2. Cash flow reconciliation\n3. Circular reference resolution\n4. Sensitivity bound checking\n5. Statistical validation of Monte Carlo results\n\n## Updates and Maintenance\n\n- Models use latest financial theory and practices\n- Regular updates for market parameter defaults\n- Incorporation of regulatory changes\n- Continuous improvement based on usage patterns\n",{"name":5,"description":7},"main","def8531e65114c0fca8fb8551c1871ee0eed705c","skills\u002Faiskillstore\u002Fmarketplace\u002Fanthropics\u002Fcreating-financial-models",24,"https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub","https:\u002F\u002Fskillshub.wtf","https:\u002F\u002Fgithub.com\u002FComeOnOliver","AI & Blockchain Engineer\r\n","2026-06-24 22:07:19",{"source":8,"skillName":5,"commands":52,"prompt":62,"zipAvailable":63},[53,56,59],{"tool":54,"command":55},"npx","npx skills add ComeOnOliver\u002Fskillshub --skill creating-financial-models",{"tool":57,"command":58},"bunx","bunx skills add ComeOnOliver\u002Fskillshub --skill creating-financial-models",{"tool":60,"command":61},"pnpm","pnpm dlx skills add 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