mcpbeat

Share Of Shelf

nexscope-ai/share-of-shelf

425 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
570
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/eCommerce-Skills --skill share-of-shelf

The instruction itself

6 sections, as written by the author

Share of Shelf

AI-powered digital share of shelf analysis skill. Measures brand visibility within product categories, benchmarks against competitors, and tracks shelf position trends across e-commerce platforms.

Capabilities

  • Generates actionable monitoring & alerts frameworks based on your specific business context
  • Works across major e-commerce platforms (Amazon, Shopify, Walmart, WooCommerce, Etsy, TikTok Shop)
  • Provides data-driven recommendations with industry benchmarks
  • Outputs ready-to-implement plans, not just generic advice

Install

clawhub install share-of-shelf

Usage

Input:

Brand name, product category, target marketplace(s), competitor brands

Output:

Share of shelf score, category positioning map, competitor visibility comparison, trend tracking framework

Example Prompt

> "I run a [your business type] on [platform]. Help me set up share of shelf for my business. Here's my current situation: [describe context]."

Limitations

  • Requires your specific business data for accurate recommendations
  • Market benchmarks are based on US/EU data — adjust for other regions
  • Recommendations should be validated against your platform's current policies
  • Does not replace dedicated monitoring SaaS tools — designs the strategy and framework

*Built by Nexscope AI — AI-powered e-commerce intelligence.*

How to use it

Copy the folder

Take nexscope-ai/share-of-shelf 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.