Open Design DCF Valuation Skills Guide
Skill Overview
The DCF Valuation skill generates a complete discounted cash flow (DCF) valuation report and estimates intrinsic value per share. The report documents all assumptions and clearly distinguishes sourced facts from analyst judgment. The output is a Markdown file, saved to finance/<company-or-ticker>-dcf.md. It includes: query summary, valuation summary, data coverage, key inputs, five-year forecast, sensitivity analysis, limitations statement, source list.
Trigger Keywords
- dcf, discounted cash flow, intrinsic value, fair value, price target, undervalued, overvalued, valuation, intrinsic value
When to Use
- Intrinsic value estimation for public companies
- Price target analysis
- Determining whether a stock is undervalued/overvalued
- Valuation reference before investment decisions
- Financial modeling reports
How to Use
Natural Language Triggers
Help me calculate the intrinsic value of AAPL
Perform a DCF valuation analysis
Is this stock undervalued?
Specifying a Skill
Use the dcf-valuation skill to analyze Tesla's fair value
Standard Workflow
- Identify the company: name, ticker, reporting currency, fiscal year, current valuation question
- Collect/derive core inputs:
- 3-5 years of revenue, operating cash flow, capital expenditures, free cash flow
- Latest cash, debt, non-controlling interests, diluted shares
- Current share price and market capitalization (if available)
- Revenue growth, FCF margin, ROIC, debt-to-equity ratio, industry
- When data is incomplete: first create an assumptions table, labeling each row as
sourced/derived/user-provided/assumption - Estimate FCF growth: prefer historical FCF CAGR; cross-check revenue growth, margins, analyst forecasts. Cap perpetual growth at 15% (unless the user provides a higher assumption)
- Estimate the discount rate: use
references/sector-wacc.mdfor starting ranges, and adjust based on leverage, size, geography, cyclicality, concentration, and moat - Build the DCF: 5-year FCF forecast → Gordon Growth terminal value (default 2.5%) → discount → subtract net debt → divide by shares outstanding
- Sensitivity analysis: 3×3 matrix (WACC ±1% vs. terminal growth 2.0%/2.5%/3.0%)
- Validate: compare against observed EV, check terminal value as a percentage of total EV, cross-check FCF multiples
Output Format
Markdown file, saved to finance/<safe-company-or-ticker>-dcf.md. Use structured tables to present inputs, forecasts, and sensitivity matrices. Clearly label the source type of each data point.
Self-Review Checklist
- Data must not be fabricated (revenue, FCF, debt, share count, etc. must be sourced or labeled as an assumption)
- Assumptions table clearly labels source types
- Sensitivity analysis uses a 3×3 matrix
- Terminal value as a percentage of total EV is reasonable
- Conclusion mentions the report path so users can easily reuse it
Practical Examples
Example 1: AAPL Valuation
User: "Help me calculate how much Apple is worth using DCF"
Generated:
- Report saved to
finance/AAPL-dcf.md - Collect FCF data for the last 5 years
- WACC 8.5%, terminal growth 2.5%
- Fair value versus current share price, upside/downside percentage
- 3×3 sensitivity matrix
Example 2: SaaS Company
User: "Help me conduct an intrinsic value analysis for Salesforce"
Generated:
- Report includes an assumptions table (some data derived / assumption)
- 5-year FCF forecast (declining growth)
- Sensitivity analysis + caveats section
Related Skills
Example Use Cases
Hong Kong-listed Company Valuation: An investment analysis team needs to quickly estimate the intrinsic value of 9988.HK (Alibaba), input 5 years of FCF data and WACC, and generate a complete DCF report with a 3×3 sensitivity matrix. US SaaS Company Analysis: Before considering an investment in a pre-IPO SaaS company, the VC team uses the DCF skill to establish a valuation baseline, with some data marked as derived / assumption to clearly distinguish facts from assumptions.
Reference Resources
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