Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    Pricing One Pager

    1

    Generates data-driven pricing proposals (list, pack, floor) based on unit economics and sourced willingness-to-pay.

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    Pricing One Pager

    Pricing One Pager

    Example session with this skill installed

    Create a pricing one-pager for 'API Proxy' at 50,000 units/mo. Costs from docs/unit-economics.md (dated 2023-10-01). Willingness is $0.05/unit per customer quote 2023-11-15. Use variable floor.

    • Read your context and instructions
    • Compiled the pricing one pager
    • Generated the document

    I have generated the pricing proposal for API Proxy based on the provided unit economics and willingness-to-pay data. The model uses a variable cost floor as requested and validates all pricing against this limit.

    Pricing Proposal: API Proxy

    Product: API Proxy
    Unit: request
    Volume: 50,000 / month
    Rates As Of: 2023-10-01
    Currency: USD
    Status: ready
    Not tax, legal, or investment advice.

    Costs

    • Full Cost per Unit: 0.0350 (Copied from docs/unit-economics.md)
    • Variable Cost per Unit: 0.0210 (Copied from docs/unit-economics.md)
    • Monthly Cost: 1,750.00 (0.0350 * 50,000)

    Willingness

    • Per Unit: 0.0500
    • Source: buyer quote
    • Date: 2023-11-15

    Prices

    • Floor Unit: 0.0210 (Rule: variable)
    • List Unit: 0.0500
    • Pack Price: unset (No pack units specified)
    • Pack Floor: unset
    • Contribution: 0.0150 (0.0500 - 0.0350)
    • Monthly at List: 2,500.00 (0.0500 * 50,000)

    Caveats

    • No charm rounding applied; list matches sourced willingness exactly.
    • House store account names and processor IDs were excluded.

    Residuals

    • filed: no
    • priced: proposed
    • published: no
    • advised: no
    • floor_status: floor is variable; full cost is higher

    Next steps

    1. Review the docs/pricing.md file for arithmetic verification.
    2. Determine if a pack size (pack_units) should be added to the model.
    3. Use the tco-comparison skill if you need to compare this against competitor pricing.

    pricing-one-pager.pdf

    PDF · document

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Calculate price floors to prevent selling units at a loss.Validate bulk pack discounts against variable cost margins.Generate audit-ready pricing documentation with sourced evidence.Standardize pricing proposals across a product portfolio.

    About this skill

    The problem

    Setting product prices often involves guesswork or "charm" rounding that ignores the underlying unit economics. This leads to selling packs at a loss or setting list prices that fall below the actual cost floor.

    What it does

    • Calculates a hard price floor based on full or variable unit costs.
    • Proposes list and pack prices derived strictly from sourced willingness-to-pay data.
    • Validates pack discounts to ensure they never dip below the calculated floor.
    • Generates a structured docs/pricing.md one-pager with replayable arithmetic.
    • Refuses "charm rounding" or arbitrary discounts that violate margin constraints.

    Frameworks & tools

    This skill is framework-agnostic. It requires an agent capable of file system operations (read/write) and basic arithmetic via Python or a standard calculator tool.

    Why this beats prompting it yourself

    Generic prompts often hallucinate "standard" margins or suggest "nice" numbers like $9.99 that might be unprofitable. This skill enforces strict data binding, requiring dated evidence for costs and willingness, and automatically blocks the workflow if profitability rules are violated.

    Use cases

    • Determining the minimum viable price for a new digital service or physical unit.
    • Validating if a proposed bulk discount remains profitable at current monthly volumes.
    • Creating a standardized pricing proposal for stakeholder review.
    • Auditing current list prices against updated unit economics.

    Known limitations

    Does not handle multi-product bundles, tax calculations, or store-front publishing. Requires pre-existing unit cost data.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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