jaygptpro/amazon-pro-skills

amz-deal-finder

>- Decide which Amazon deal type to run, when, and whether it will pay off. Compares Lightning Deals, Best Deals, Prime-exclusive discounts, and coupons, checks the deal fee against the expected lift, and times the deal to an event. Use when a user asks about running a deal, Lightning Deals, Best Deals, Prime Day or event deals, deal fees, or whether a deal is worth it. Trigger phrases: "lightning deal", "best deal", "should I run a deal", "deal fee", "prime day deal", "deal strategy". Works wi…

First seen May 24, 2026

Installation

$ npx skills add jaygptpro/amazon-pro-skills --skill amz-deal-finder

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 9
Default branch main
Open issues 0
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0
More metadata
author
Jay GPT Pro
library
amazon-pro-skills
version
1.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 5,683 B
  • docs SUMMARY.md 574 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 107 installs

SKILL.md

Deal Finder

Amazon deals are a paid visibility event, not a discount. You pay a deal fee to be placed on the Deals page during a window of concentrated traffic. A deal pays off when the visibility lift outlasts the deal itself. This skill decides which deal, when, and whether the math works.

When to use this

  • A seller is considering a Lightning Deal or Best Deal and is not sure it pays.
  • Planning the deal calendar around Prime Day, Prime Big Deal Days, or Q4.
  • A product needs a rank push and the seller is weighing deal versus coupon.
  • A past deal felt expensive and the seller wants a go or no-go rule.

The framework. The Deal Worth-It Test

A deal is worth running when three things are true. miss one and skip the deal.

  1. The product is deal-ready. Solid rating (4.0-plus), enough reviews to convert

a cold visitor, and stock to survive a spike. A deal that floods a weak listing with traffic just buys cheap proof that it does not convert.

  1. The math clears. Deal price, minus referral fee, minus FBA fee, minus unit

cost, minus the deal fee spread across expected units, is not deeply negative. A small loss can be acceptable as a rank investment. a large one is not.

  1. The timing concentrates traffic. A deal during a major event reaches far more

shoppers per dollar of deal fee than a deal on a random Tuesday.

The deal types

Type Best for Notes
Lightning Deal A short, sharp spike and rank push A few hours, a fixed fee, limited slots
Best Deal Sustained visibility Runs days to weeks, higher fee, broader reach
Prime-exclusive discount Event windows, Prime members Strong during Prime Day and Big Deal Days
Coupon Always-on visibility badge Lowest cost, see amz-coupon-strategy
Outlet Clearing aged or overstocked inventory Built for stock you need gone

Step by step

  1. Collect inputs. Price, unit cost, fees, current rating and review count, stock

on hand, the goal (rank push, event sales, clearance), and any target event date.

  1. Run the deal-ready check. Rating, reviews, and stock. If the listing is not

deal-ready, recommend fixing that first. a deal does not fix a weak listing.

  1. Pick the deal type from the table, matched to the goal and timing.
  1. Run the math. Per-unit contribution at the deal price, with the deal fee spread

across a realistic unit estimate. State the number and whether a loss, if any, is an acceptable rank investment.

  1. Time it. Anchor the deal to the highest-traffic window available. an event

deal is worth far more than the same deal off-peak.

  1. Plan the after. A deal spikes rank. Define how to hold the gain: ads ready to

defend the new rank, stock to stay in stock, no price jump right after.

  1. Run the quality check, then deliver.

Output format

## Deal Plan. [product]

Goal: [goal]
Deal-ready: [yes / no, with what to fix first]

### Recommended deal
Type: [deal type]   Timing: [event or date]
Deal price: [$]

### Math
Per-unit contribution at deal price (deal fee included): [$]
Verdict: [profitable / acceptable rank investment / do not run]

### Hold the gain
[post-deal plan to keep the rank]

Worked example

Product at 50 USD, 4.3 stars, 600 reviews, healthy stock. Goal: rank push before Q4.

Deal-ready: yes. Recommended: a Lightning Deal timed to Prime Big Deal Days, deal price 40 USD. Math: per-unit contribution roughly 4 USD after fees and the deal fee spread, a thin but positive number. The deal is run as a rank investment. After the deal, Sponsored Products bids are raised for two weeks to defend the new rank and the price returns to 50 without a gap that would stall momentum.

Quality check

  • The deal-ready check ran first. rating, reviews, stock.
  • A listing that is not deal-ready is told to fix that before any deal.
  • The math spreads the deal fee across a realistic unit estimate.
  • Any loss is explicitly labeled an acceptable rank investment or rejected.
  • The deal is timed to the highest-traffic window available.
  • There is a written plan to hold the rank gain after the deal ends.

Common mistakes

  • Dealing a weak listing. Pouring event traffic into a 3.8-star listing buys

proof that it does not convert and wastes the fee.

  • Ignoring the deal fee. The fee can turn a "profitable" deal price into a loss.
  • Off-peak deals. The same fee buys a fraction of the reach off-event.
  • No after-plan. The deal spikes rank, then rank slides back because nothing was

in place to defend it.

  • Stocking out mid-deal. A deal that sells out early wastes the visibility window.

Built by Jay GPT Pro

Part of Amazon Pro Skills. Production-grade skills for serious Amazon sellers. Free and open. Built by Jay Margaliot.

I share a new AI play for Amazon sellers every week, free, in my WhatsApp group. Join here: https://chat.whatsapp.com/ILX65p1yWcaIG3c9WGHpTY