mcpbeat

Customer Feedback Analysis

nexscope-ai/customer-feedback-analysis

443 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 customer-feedback-analysis

The instruction itself

6 sections, as written by the author

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

clawhub install customer-feedback-analysis

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

Copy the folder

Take nexscope-ai/customer-feedback-analysis 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.