buyer review profit signal miner

    1

    Extracts buyer psychology, conversion barriers, and feature demands from raw product reviews.

    $5

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    buyer review profit signal miner

    Example session with this skill installed

    Analyze these 50 Shopify reviews for our ergonomic chair. Identify why people are returning it and what features they want in the v2 model. [Paste reviews here]

    • Read your context and instructions
    • Compiled the buyer review profit

    Profit Signal Report

    Recurring Complaints

    • Seat Firmness (15 mentions): "Like sitting on a brick."
    • Assembly (8 mentions): "Instructions are vague."

    Feature Demands

    • Adjustable Lumbar: 12 users requested more vertical range.
    • Breathable Mesh: 5 users mentioned heat issues.

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

    What you get

    Identify hidden conversion barriers in negative feedback.Map buyer emotional triggers to improve ad copy.Prioritize product roadmaps based on quantified feature demands.Uncover trust gaps that are preventing sales growth.

    About this skill

    The problem

    Customer feedback is often a chaotic mess of unstructured text spread across Amazon, Shopify, and social media. Developers and product owners struggle to quantify qualitative data, missing the specific psychological triggers and conversion barriers that drive or kill sales.

    What it does

    • Categorizes reviews into positive, negative, mixed, and feature-request segments.
    • Extracts underlying buyer psychology, mental models, and emotional triggers.
    • Identifies and ranks recurring complaints to prioritize product roadmaps.
    • Surfaces trust gaps and friction points that act as conversion barriers.
    • Detects positioning opportunities by analyzing language patterns and competitor mentions.

    Why this beats prompting it yourself

    General prompts often summarize reviews too broadly, losing the specific emotional intensity and "mirror language" needed for high-converting copy. This skill enforces a rigorous extraction process that maps raw sentiment to actionable business intelligence, ensuring you don't just see 'what' users said, but 'why' it affects your bottom line.

    Use cases

    • Analyzing Amazon or Shopify competitor reviews to find market gaps.
    • Auditing SaaS feedback to identify high-priority feature demands.
    • Refining marketing copy using the exact language and triggers of satisfied customers.
    • Identifying friction points in the user experience that lead to churn or cart abandonment.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 1 month ago

    • Passed all security checks, Safe to install

    Listed1 month ago

    What's inside

    Frequently Asked Questions