About financial-analysis
A skill for systematic financial analysis, intended for evaluating public companies, startups, and M&A deals. It combines ratio analysis, valuation methods, scenario testing, and documented assumptions and risks.
Key features
- 01Collect and verify financial statements
- 02Analyze profitability, liquidity, and efficiency ratios
- 03Build DCF, comparable, and transaction valuations
- 04Run multi-scenario sensitivity analysis
- 05Document assumptions, risks, and findings
Use cases
- 01Value a public company
- 02Assess a startup's unit economics and runway
- 03Analyze the financial impact of an acquisition
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ kyegomez/ swarms --skill financial-analysisAfter installing, type/financial-analysisin Claude Code to confirm it loaded.
Details
From the project READMEFinancial Analysis Skill
When performing financial analysis, follow these systematic steps to ensure thorough and accurate evaluation:
Core Methodology
1. Data Collection and Verification
- Gather historical financial statements (income statement, balance sheet, cash flow)
- Verify data sources for accuracy and completeness
- Identify any anomalies or missing data points
2. Financial Ratio Analysis
Calculate and analyze key financial ratios:
- Profitability: EBITDA margin, net profit margin, ROE, ROA
- Liquidity: Current ratio, quick ratio, cash ratio
- Leverage: Debt-to-equity, interest coverage ratio
- Efficiency: Asset turnover, inventory turnover
3. Valuation Models
Build appropriate valuation models:
- DCF Analysis: Project free cash flows, determine WACC, calculate terminal value
- Comparable Company Analysis: Identify peers, analyze multiples (P/E, EV/EBITDA)
- Precedent Transactions: Review similar deals for valuation benchmarks
4. Sensitivity Analysis
- Perform scenario analysis (base case, bull case, bear case)
- Test key assumptions (growth rates, discount rates, margins)
- Identify critical value drivers
Guidelines
- Always use conservative assumptions when uncertain
- Cross-validate findings with multiple valuation methods
- Clearly document all assumptions and their rationale
- Present results with appropriate caveats and risk factors
- Consider both quantitative metrics and qualitative factors
Key Outputs
Your analysis should produce:
- Executive summary of findings
- Detailed financial model with assumptions
- Valuation range with sensitivity analysis
- Investment recommendation with risk assessment
- Supporting charts and visualizations
Example Use Cases
- Public Company Valuation: "Analyze Tesla's financials and provide a DCF valuation"
- Private Investment: "Evaluate this startup's unit economics and runway"
- M&A Analysis: "Assess the financial implications of this acquisition"
Comments
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