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Email offer margin calculation v1.0.0

Use this resource to price a discount or threshold against contribution margin

New

  • 577 downloads
  • 102 likes
  • 106 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install price-email-offer-margin

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent works out the cost per order, the share of margin used, the lift needed to break even on the offer and the risk of code leakage, then recommends one offer in two plain sentences. It first checks the offer is allowed: the standing offer or an approved step of a flow. Use it alone if you already have the offer, average order value and margin; otherwise run email-lifecycle.

Mostly picked by

Updated November 2, 2026

Card for the “Email offer margin calculation” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: offer check, margin calculation, break-even lift and recommendation
  • skill.meta.json: skill metadata

Good fit for

  • You want to offer free shipping above a threshold
  • You are choosing between a 10% discount and a referral offer

Not for

    Tags

    • discount
    • margin
    • offer
    • email

    About

    You say

    “A 10% discount on my shop with an €80 average basket and a 60% margin: is it profitable?”

    Card for the “Email offer margin calculation” skill

    Skill published by gooseworks-ai under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to price a discount or threshold against contribution margin
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.3 KB
    • skill.meta.json0.3 KB

    Origin and licence

    Listed unmodified

    Author
    gooseworks-ai
    Source
    github.com/gooseworks-ai/goose-skills/tree/1add09bd8e0d057e91e25c96b9282498e2fcb2a2/skills/marketing/email-lifecycle-offer-math
    Licence
    MIT

    Notice

    « email-lifecycle-offer-math » (gooseworks-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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