Agent skill · marketing growth · nexscope-ai
customer-feedback-analysis
customer-feedback-analysis — an agent skill for coding agents.
Why this skill is useful
Provides actionable frameworks and data-driven recommendations for customer feedback analysis that the AI wouldn't 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
Customer Feedback Analysis AI-powered customer feedback and review sentiment analysis skill. Extracts pain points, feature requests, and improvement priorities from customer reviews across e-commerce platforms. Capabilities Generates actionable reviews & reputation 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: Product reviews, customer feedback data, brand/ASIN Output: Sentiment analysis report, pain point extraction, feature request ranking, improvement priority matrix Example Prompt "I run a [your business type] on [platform]. Help me set up customer feedback analysis 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/customer-feedback-analysis