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Amazon Fba Calculator

nexscope-ai/amazon-fba-calculator

Amazon FBA Calculator - Complete fee breakdown and profit analysis

6k tokens
context cost
the whole folder, loaded on every use
2
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
484
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/nexscope-ai/Amazon-Skills --skill amazon-fba-calculator

The instruction itself

6 sections, as written by the author

Amazon FBA Calculator (Lite)

Precise FBA fee calculation based on product dimensions and weight.

Features

  • Size Tier Detection - Automatic classification
  • FBA Fulfillment Fee - 2024 rates
  • Monthly Storage Fee - Standard & Peak season
  • Long-term Storage Fee - 271+ days aging
  • Referral Fee - By category
  • Profit Analysis - Gross/Net margin, ROI
  • Optimization Tips - Size, weight, inventory

Size Tiers (2024)

| Tier | Max Weight | Max Dimensions |

|------|------------|----------------|

| Small Standard | 1 lb | 15"×12"×0.75" |

| Large Standard | 20 lb | 18"×14"×8" |

| Small Oversize | 70 lb | 60"×30" |

| Medium Oversize | 150 lb | L+Girth ≤108" |

| Large Oversize | 150 lb | L+Girth ≤165" |

| Special Oversize | >150 lb | >165" |

Input

{
  "length": 10.0,
  "width": 6.0,
  "height": 3.0,
  "weight": 1.2,
  "selling_price": 29.99,
  "product_cost": 8.00,
  "inbound_shipping_cost": 1.50,
  "category": "kitchen"
}

Output

  • Size tier classification
  • Fee breakdown table
  • Profit metrics (margin, ROI)
  • Optimization suggestions

Usage

python3 scripts/calculator.py
python3 scripts/calculator.py '{"length": 10, "width": 6, ...}' --zh

_Version 1.0.0 | Platform: Amazon | Variant: Lite_


Part of Nexscope AI — AI tools for e-commerce sellers.

How to use it

Copy the folder

Take nexscope-ai/amazon-fba-calculator from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.