Agent skill · marketing growth · nexscope-ai

share-of-shelf

share-of-shelf — an agent skill for coding agents.

Why this skill is useful

Provides data-driven recommendations and actionable frameworks for digital shelf analysis that the AI wouldn't reliably generate on its own.

What it needs

Requires clawhub installed locally. About 1k tokens when loaded. Last updated 2026-07-23. 604 stars on the source repository.

What this skill does

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 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

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills nexscope-ai/share-of-shelf

View the source on GitHub

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