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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.
Passed 19 of 21 test cases with the skill, and 17 of 21 without it.
3 fixed17 passed either way1 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our beverage brand AquaHydrate needs 24/7 automated scraping of Amazon search pages every 15 minutes to trigger real-time webhooks. Should this strategic framework design replace specialized automated monitoring SaaS software for real-time data collection?
| Checked | Without skill | With skill |
|---|---|---|
| The response states that strategic share of shelf frameworks complement rather than replace dedicated automated monitoring software tools. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
clawhub install share-of-shelf
Input: Brand name, product category, target marketplace(s), competitor brands
Output: Share of shelf score, category positioning map, competitor visibility comparison, trend tracking framework
"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]."
Built by Nexscope AI — AI-powered e-commerce intelligence.
test cases passed, vs 17 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.