Screened · automated checks passed

amazon-brand-analytics

from nexscope-ai/Amazon-Skills · ★ 400 on GitHub · found by our crawler 2026-07-07

What the author says it does

Amazon Brand Analytics interpretation and strategic insights for Brand Registry owners. Decode Search Frequency Rank (SFR) data, analyze Market Basket patterns, interpret Item Comparison reports, and extract demographic insights to optimize product strategy and advertising spend. Works with Brand Analytics data from all Amazon marketplaces. Requires Brand Registry access. Use when: (1) analyzing Search Frequency Rank data for keyword opportunities, (2) interpreting Market Basket data for cross-sell and bundling, (3) understanding Item Comparison competitive positioning, (4) extracting customer demographic insights, (5) optimizing product portfolio based on customer behavior, (6) building data-driven advertising strategies.

Quoted from the skill's own SKILL.md trigger description — this is what tells Claude when to activate it. Not yet verified by us.

Automated screening

100/100 validator score

Scored by the same rules as our free SKILL.md validator: trigger description quality, body substance, structure. Automated — a human bench test is the next step in the pipeline.

Install (unverified — review first)

git clone https://github.com/nexscope-ai/Amazon-Skills
# skill lives at: amazon-brand-analytics/SKILL.md

SkillProof status

This skill is in our test queue. We install every skill in a clean environment, run a trigger battery and score output against a baseline before it earns a catalog page — the full protocol is public. Until then, treat it like any unreviewed dependency: read the SKILL.md and any scripts before installing.

Already tested in SEO & Search

  • SEO Audit ★ 9.6/10 Structured technical/on-page/content SEO audit that explicitly flags a real trap: static fetch tools can't see JS-injected schema markup.
  • Programmatic SEO ★ 9.6/10 12-playbook framework for templated pages at scale (locations, comparisons, integrations, glossary...) with an explicit thin-content guardrail checklist.
  • Schema Markup ★ 9.6/10 JSON-LD generator/validator for schema.org rich-results markup.
  • AI SEO ★ 9.6/10 GEO: AI-crawler access checks, extractable content structure, citation tracking.

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