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Finance Based Pricing Advisor

Checked
deanpeters·vlatest·data

This AI advises on optimal pricing strategies by leveraging financial data, maximizing revenue and profitability for businesses.

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 deanpeters/product-manager-skills --skill finance-based-pricing-advisor -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

deanpeters

Taken from the source listing. We haven't verified who controls this account.

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.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned deanpeters/product-manager-skills at cfcb697f14.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 778 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 evaluates the financial impact of proposed pricing changes for businesses. It uses metrics like ARPU/ARPA, conversion rates, churn risk, Net Revenue Retention (NRR), and Customer Acquisition Cost (CAC) payback to assess whether a price increase, new tier, discount, or other change is financially viable. The tool provides supporting math and risk assessment to inform go/no-go decisions on pricing strategies you've already considered. It does not design comprehensive pricing strategies or conduct market research.

When to use it

  • You are considering a specific pricing change (e.g., raising prices, introducing a new tier).
  • You need to understand the potential revenue impact of a price increase.
  • You want to assess how a pricing change might affect customer churn or conversion rates.
  • You’re evaluating the effect of a discount strategy on unit economics and payback periods.
  • You're considering usage-based pricing or feature bundling/unbundling.

Key capabilities

  • ARPU/ARPA Analysis: Calculates Average Revenue Per User/Account to assess revenue impact.
  • Conversion Impact Assessment: Evaluates how price changes affect trial-to-paid or sales conversion rates.
  • Churn Risk Evaluation: Analyzes the potential for existing customers to leave due to pricing adjustments, considering factors like grandfathering and segment sensitivity.
  • Expansion Impact Analysis: Determines if a change creates or blocks expansion opportunities through new tiers, add-ons, or usage-based models.
  • CAC Payback Impact Calculation: Assesses the effect on unit economics and LTV:CAC ratio.

Example prompts

  • "Evaluate the financial impact of raising our subscription price by 10%."
  • "What is the potential churn risk if we introduce a new premium tier?"
  • "Analyze the revenue impact of offering an annual prepayment discount."
  • “How will bundling features into tiers affect conversion rates?”

Tips & gotchas

  • Requires a specific pricing change in mind: This skill isn't designed to generate pricing strategies from scratch. You need to have a proposed change ready for evaluation.
  • Not a comprehensive solution: It does not cover value-based pricing, willingness-to-pay research, competitive positioning, or packaging architecture.