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    Review Mining Product Optimizer

    1

    The problem Guessing why customers aren't buying or why they are returning products leads to wasted ad spend and poor conversion rates.

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    Review Mining Product Optimizer

    Review Mining Product Optimizer

    Example session with this skill installed

    Analyze these 20 reviews for my ergonomic keyboard. Users like the tactile feel but say the spacebar is loud and the software setup for macOS is confusing. Provide listing and product fixes.

    • Read your context and instructions
    • Compiled the review mining product

    The report identifies 'Tactile Feel' as a core praise theme and 'Software Setup Friction' as a high-priority objection. Recommended listing fix: Add a macOS setup video. Product backlog: Dampen spacebar mechanism and simplify driver installer. FAQ: 'How do I map keys on Mac?'

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    Guessing why customers aren't buying or why they are returning products leads to wasted ad spend and poor conversion rates. Developers and sellers often struggle to translate raw customer feedback into actionable product updates and high-converting copy.

    What it does

    • Identifies recurring praise and complaint patterns to pinpoint specific product friction points.
    • Extracts exact buyer language and emotional triggers for use in listings, ads, and emails.
    • Generates a prioritized product improvement backlog based on customer feature requests.
    • Drafts FAQ and support documentation to address pre-purchase objections and post-purchase confusion.
    • Audits existing marketing copy against review data to flag unsupported claims or missed opportunities.

    Why this beats prompting it yourself

    Generic prompts often miss the nuance of buyer objections or fail to categorize feedback into commercial actions. This tool follows a structured 13-step extraction process that ensures competitive gaps, privacy risks, and technical improvements are documented alongside marketing angles.

    Use cases

    • Optimize Amazon or Shopify listings using specific buyer praise and objection themes.
    • Identify high-priority features for your SaaS or digital product roadmap based on user frustration.
    • Create ad hooks that mirror the actual vocabulary used by your target audience.
    • Audit competitor reviews to find positioning gaps in your category.

    Known limitations

    Does not include web scraping tools or automated review verification. Requires manual input of review text or summaries.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for E-commerce.

    Requires manual review data input. Does not scrape websites or verify review authenticity. Final compliance check required for medical or regulated product claims.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

    Reviews

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    Recently published to Agensi

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    Trust & safety

    Security scan

    Security scan passed 2 months ago

    Software
    Python

    Permissions

    No special permissions declared or detected

    Listed2 months ago

    What's inside

    Frequently Asked Questions

    This skill uses a 13-step extraction process to turn raw customer feedback into actionable insights, such as high-converting ad copy, prioritized feature backlogs, and specific listing improvements based on real buyer language.

    The Review Mining Product Optimizer is compatible with all major text-based AI agents; you simply need to provide the review text or CSV export for the skill to begin its analysis.

    No, this skill focuses on analyzing data rather than gathering it; you will need to provide the review text manually or via file upload from platforms like Amazon, Shopify, or Trustpilot.

    Your purchase includes the full Review Mining logic and workflow, a guide on how to input your data for the best results, and lifetime access to any future refinements to the extraction steps.

    By identifying recurring buyer objections and common points of confusion in reviews, the skill generates specific FAQ content and support documentation to address these issues before they lead to a return.

    New in E-commerce