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Dcf Valuation

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virattt·vlatest·data

Calculates a company’s value using Discounted Cash Flow (DCF) analysis, providing insights for investment decisions and financial modeling.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add virattt/dexter --skill dcf-valuation -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

virattt

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Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

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  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

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  • No pipe-to-shell installers: passed

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  • Pinned to a commit: passed

    Scanned virattt/dexter at 534f6be455.

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Scanned
2 files, 166 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to perform Discounted Cash Flow (DCF) analysis, a fundamental method for valuing companies or investment projects based on projected future cash flows. It automates the complex mathematical modeling required to estimate intrinsic value by discounting those future streams back to their present worth using specific rates.

When to use it

  • Investment Analysis: Evaluate the potential return and risk of a stock, bond, or private equity deal before committing capital.
  • Corporate Finance Planning: Assist in strategic budgeting by projecting long-term cash generation for new product lines or expansion projects.
  • M&A Due Diligence: Quickly generate baseline valuation figures to compare against market multiples during merger and acquisition negotiations.
  • Portfolio Management: Reassess the current value of existing assets based on updated economic forecasts or changing interest rate environments.

Key capabilities

  • Projects future free cash flows over a defined forecast period.
  • Calculates terminal value to account for cash flows beyond the explicit forecast horizon.
  • Applies discount rates (WACC) to determine the present value of all projected cash streams.
  • Synthesizes inputs to output a comprehensive intrinsic valuation figure.

Example prompts

  • "Run a DCF valuation on Company X using the latest earnings report and a 10% discount rate."
  • "Project the free cash flow for this startup over five years based on its current growth trajectory and calculate the present value."
  • "Analyze how a change in the terminal growth rate from 2% to 3% impacts the intrinsic value of this asset class."

Tips & gotchas

Ensure you provide accurate historical financial data and realistic assumptions for future growth rates, as DCF models are highly sensitive to these inputs. The output is only as reliable as the underlying economic forecasts and discount rate selection provided in the prompt.