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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",{},"main","def8531e65114c0fca8fb8551c1871ee0eed705c","skills\u002Fynulihao\u002FAgentSkillOS\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":7,"skillName":5,"commands":34,"prompt":44,"zipAvailable":45},[35,38,41],{"tool":36,"command":37},"npx","npx skills add ComeOnOliver\u002Fskillshub --skill creating-financial-models",{"tool":39,"command":40},"bunx","bunx skills add ComeOnOliver\u002Fskillshub --skill creating-financial-models",{"tool":42,"command":43},"pnpm","pnpm dlx skills add ComeOnOliver\u002Fskillshub --skill creating-financial-models","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fynulihao\u002FAgentSkillOS\u002Fcreating-financial-models\u002FSKILL.md",true,[],[48,62,72,81,87,94],{"skillNo":49,"name":50,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":51,"categories":52,"keywords":58,"publishedAt":20},"01M6FKJN13GMG4KY57J3QD8GY5","model-hierarchy-skill","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzscole\u002Fmodel-hierarchy-skill\u002Fmodel-hierarchy-skill\u002FSKILL.md",[53],{"categoryNo":54,"categoryName":55,"taxonomyType":56,"taxonomyTypeDesc":57},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[59,60,61],"model","model hierarchy","model hierarchy skill",{"skillNo":63,"name":64,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":65,"categories":66,"keywords":68,"publishedAt":20},"01M6FKJJJ6GCAMR4PPPRD12M5X","zoom-mcp","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fzoom-mcp\u002FSKILL.md",[67],{"categoryNo":54,"categoryName":55,"taxonomyType":56,"taxonomyTypeDesc":57},[69,70,71],"MCP","zoom","zoom mcp",{"skillNo":73,"name":74,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":75,"categories":76,"keywords":77,"publishedAt":20},"01M6FKJE3KYT3KPEZMEEHYKA6K","zoom-apps-sdk","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fzoom-apps-sdk\u002FSKILL.md",[],[78,79,80,70],"sdk","zoom apps sdk","apps",{"skillNo":82,"name":83,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":84,"categories":85,"keywords":86,"publishedAt":20},"01M6FKJ9EDH9Q5VWDF8HAJRSP0","windows","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fwindows\u002FSKILL.md",[],[83],{"skillNo":88,"name":89,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":90,"categories":91,"keywords":93,"publishedAt":20},"01M6FKJ666BEEFC3AE9GJ72Q93","whiteboard","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fwhiteboard\u002FSKILL.md",[92],{"categoryNo":54,"categoryName":55,"taxonomyType":56,"taxonomyTypeDesc":57},[89],{"skillNo":95,"name":96,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":97,"categories":98,"keywords":99,"publishedAt":20},"01M6FKJ21WFCDGTJQ2Q91T9DVW","websockets","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fwebsockets\u002FSKILL.md",[],[96]]