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Amazon Inventory Management

nexscope-ai/amazon-skills

Handles the operational side of running FBA inventory: figuring out when to reorder, how much safety stock to keep, recovering stranded units, and keeping your IPI score healthy. You give it your current situation and goals, it asks one follow-up to fill gaps, then delivers specific recommendations with actual numbers instead of generic advice. Works across all major Amazon marketplaces. The structured output format is solid, marking estimates when data is incomplete and ending with concrete next steps rather than leaving you to interpret vague guidance. Part of Nexscope's broader Amazon toolkit.

skills.sh installs: 1.2K
GitHub stars: 855
last updated: Aug 21, 2026

Install

$ npx -y skills add nexscope-ai/amazon-skills --skill amazon-inventory-management --agent claude-code

Installs into .claude/skills of the current project.

Files

Amazon Inventory Management

FBA inventory planning — restock timing, safety stock, IPI score optimization, stranded inventory recovery

Supported platforms: Amazon (US, UK, DE, CA, JP, AU, and all marketplaces).

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

Install

npx skills add nexscope-ai/Amazon-Skills --skill amazon-inventory-management -g

Usage

Help me with amazon inventory management for my e-commerce business.

Capabilities

FBA inventory planning
restock timing
safety stock
IPI score optimization
stranded inventory recovery

How This Skill Works

Step 1: Collect information from the user's message — product, platform, current situation, and goals.

Step 2: Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").

Step 3: Research and analyze using the frameworks and methodology below.

Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.

Output Format

SKILL.md on GitHub

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Details

Repository: github.com/nexscope-ai/amazon-skills
Categories: Productivity & Planning, Finance & Trading
First seen: Jun 3, 2026

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