ReviewMind Skills

ReviewMind Skills

Skills for e-commerce review analysis to extract product insights from customer feedback.

Install command

npx skills add https://github.com/xinyacs/ReviewMind-Skills
Added on Popularity 4

Details

Overview

ReviewMind Skills is an open-source collection of tools and skills for e-commerce review analysis. It helps sellers extract product insights from customer feedback, turning unstructured reviews into actionable data on quality issues, feature requests and buyer sentiment.

Key Features

  • Review aggregation: pull and organize customer reviews from e-commerce sources.
  • Insight extraction: use AI to surface pain points, praise points and feature requests.
  • Product improvement guidance: translate feedback into concrete product and listing actions.
  • Open source: free to use, modify and extend for custom workflows.
  • Desktop tooling: runs locally across platforms.

Pricing

Open source and free to use; self-hosted, so you only pay for any AI API usage you configure.

Integrations

  • E-commerce review data sources
  • AI/LLM APIs for analysis
  • Desktop applications across major platforms

Best For

Developers and e-commerce sellers who want an open, customizable review-analysis workflow to improve products based on real customer feedback.

FAQ

Is ReviewMind Skills free?

Yes — it is open source, with no licensing fee.

What can I do with it?

Analyze reviews, extract product insights and drive product or listing improvements.

How to Use

  1. Use a Skill-compatible agent such as Claude Code, Cursor, or Codex.
  2. Install from the terminal (Node.js required):
npx skills add https://github.com/xinyacs/ReviewMind-Skills

Or paste the install prompt from this tool page into your agent and ask it to install for you. 3. Restart / reload the agent so the new Skill is loaded. 4. Invoke the Skill with its slash commands or by asking the agent to run the workflow described in Overview / Key Features. 5. Review outputs before publishing — treat model-generated copy, images, and data as drafts.