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Dcf Valuation

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yennanliu
dcf-valuation

Discounted Cash Flow (DCF) intrinsic value modeling with sensitivity analysis

Overview

Publisheryennanliu
RepositoryInvestSkill
Skill namedcf-valuation
Stars
254
Forks
61
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by yennanliu on GitHub. Read the source before you install it.

Installation

Install the Dcf Valuation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/yennanliu/InvestSkill/tree/main/plugins/us-stock-analysis/skills/dcf-valuation
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/yennanliu/InvestSkill.git /tmp/InvestSkill
mkdir -p .claude/skills
cp -r /tmp/InvestSkill/plugins/us-stock-analysis/skills/dcf-valuation .claude/skills/dcf-valuation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dcf Valuation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dcf Valuation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dcf Valuation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

DCF Valuation

This skill has been merged into stock-valuation. Use /us-stock-analysis:stock-valuation for comprehensive valuation including full DCF modeling, WACC decomposition, 3-scenario sensitivity analysis, and comparable company analysis.


Quick DCF Reference

WACC Formula and Components

WACC = Ke × (E/V) + Kd × (D/V)

Where:
  Ke  = Cost of Equity  = Rf + β × (Rm − Rf) + Size Premium
  Kd  = After-Tax Cost of Debt  = (Interest Expense / Total Debt) × (1 − Tax Rate)
  E/V = Equity Weight  = Equity Market Cap / (Equity Market Cap + Total Debt)
  D/V = Debt Weight    = Total Debt / (Equity Market Cap + Total Debt)

Typical WACC Ranges by Risk Profile:
Risk Profile         WACC Range    Examples
─────────────────────────────────────────────────────
Low risk (utility)   6–8%          Regulated utilities, large cap staples
Medium risk          8–11%         Large cap tech, established growth
High risk            11–15%        Small cap, emerging market, cyclical
Very high risk       15–20%+       Early-stage, distressed, pre-revenue

Three-Scenario Names and Default Probabilities

Scenario    Probability    Narrative
Bull         20%           Market share gains, margin expansion, favorable macro
Base         60%           Historical trend continuation, guidance-aligned
Bear         20%           Competitive pressure, margin compression, macro headwinds

Probability-Weighted IV = (20% × Bull IV) + (60% × Base IV) + (20% × Bear IV)

5×5 Sensitivity Table Template

Sensitivity Table — Intrinsic Value per Share ($)
              Terminal Growth Rate
WACC     1.0%    1.5%    2.0%    2.5%    3.0%
6.0%     $xxx    $xxx    $xxx    $xxx    $xxx
7.0%     $xxx    $xxx    $xxx    $xxx    $xxx
8.0%     $xxx    $xxx    $xxx    $xxx    $xxx  ← Base Case
9.0%     $xxx    $xxx    $xxx    $xxx    $xxx
10.0%    $xxx    $xxx    $xxx    $xxx    $xxx

Terminal Value Formula

Gordon Growth Model:  TV = FCF₁₀ × (1 + g) / (WACC − g)
Exit Multiple Method: TV = FCFₙ × (EV / FCF exit multiple)

Rule: Never set g > WACC. Flag if TV > 80% of total Enterprise Value.

Standard Signal Output

All analysis concludes with this standardized block:

## Thesis Invalidation

After delivering the analysis signal, specify what would reverse it:

**If signal is BULLISH — thesis breaks if:**
- FCF turns negative for 2 consecutive quarters OR WACC rises >200bps unexpectedly
- [One or two more triggers drawn from this analysis's own drivers, each with a threshold]

**If signal is BEARISH — thesis breaks if:**
- FCF growth accelerates >20% above model assumptions OR interest rates fall >100bps
- [One or two more triggers drawn from this analysis's own drivers, each with a threshold]

**Re-run this analysis when:**
- [ ] Next earnings release
- [ ] Price moves ±15% from current level
- [ ] 60 days have elapsed
- [ ] Material news event (acquisition, leadership change, regulatory decision)

╔══════════════════════════════════════════════╗
║              INVESTMENT SIGNAL               ║
╠══════════════════════════════════════════════╣
║ Signal:      BULLISH / NEUTRAL / BEARISH     ║
║ Confidence:  HIGH / MEDIUM / LOW             ║
║ Horizon:     SHORT / MEDIUM / LONG-TERM      ║
║ Score:       X.X / 10                        ║
╠══════════════════════════════════════════════╣
║ Action:      BUY / HOLD / SELL               ║
║ Conviction:  STRONG / MODERATE / WEAK        ║
╚══════════════════════════════════════════════╝

Score Guide: 8.0–10.0 Strongly Bullish | 6.0–7.9 Moderately Bullish | 4.0–5.9 Neutral | 2.0–3.9 Moderately Bearish | 0.0–1.9 Strongly Bearish Confidence: HIGH (strong data, clear signals) | MEDIUM (mixed signals) | LOW (limited data, conflicting signals) Horizon: SHORT-TERM (1 week–3 months) | MEDIUM-TERM (3 months–1 year) | LONG-TERM (1+ years)

Disclaimer: Educational analysis only. Not financial advice.

Frequently asked questions

What does the Dcf Valuation AI skill do?

Discounted Cash Flow (DCF) intrinsic value modeling with sensitivity analysis

Why use Dcf Valuation on TypingMind?

Because you install it once and use it with any model. Dcf Valuation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dcf Valuation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yennanliu/InvestSkill/tree/main/plugins/us-stock-analysis/skills/dcf-valuation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dcf Valuation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dcf Valuation?

As many as you like. As long as a model supports skills, you can use Dcf Valuation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dcf Valuation AI skill free?

Yes. It is published on GitHub by yennanliu under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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