Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    Review to Marketing Insight Extractor

    2

    Turn raw customer reviews into evidence-grounded marketing reports, customer language banks, and JSON insights.

    $6

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    review-to-marketing-insight-extractor

    review-to-marketing-insight-extractor

    Example session with this skill installed

    Analyze the 50 reviews in g2-export.csv for Acme Studio. Identify recurring language and objections to help us draft a new 'Power User' landing page.

    • Read your context and instructions
    • Compiled the review-to-marketing-insight-extractor

    Marketing Insights

    Customer Language

    • "Game-changer for my workflow" (Mentioned 12x)

    Key Objections

    • High learning curve for non-devs

    Angle: "The Power User's Secret"

    Use customer's exact phrasing: "Finally, an agent that doesn't just hallucinate."
    [Source: G2 Review #42]

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

    About this skill

    What it does

    This skill transforms raw customer feedback into a data-driven marketing strategy. Unlike generic copywriters, it acts as a qualitative data scientist, processing CSVs, JSON files, or live URLs to extract grounded insights. It identifies recurring customer language, hidden objections, and winning message angles to build a high-conversion marketing foundation.

    How it works

    The skill follows a deterministic workflow: it validates and deduplicates input, redacts sensitive PII, and then perform deep thematic analysis. It generates two primary artifacts: a structured insights.json for programmatic use and a polished marketing-insights.md report for stakeholders.

    Supported tools

    • Python/PowerShell: Ready for CLI-based automation.
    • Data Sources: Supports CSV/JSON exports and schema.org JSON-LD web scraping.
    • Frameworks: Optimized for agentic workflows using OpenClaw.

    Why use this skill?

    Prompting an AI yourself often leads to "hallucinated" marketing fluff. This skill enforces rigorous evidence-grounded analysis, ensuring every recommendation is backed by actual customer snippets. It handles the "boring" parts—cleaning data, redacting IDs, and structured formatting—so you can focus on strategy.

    • Requires pre-formatted CSV/JSON or schema.org structured data for scraping.
    • Not effective for datasets with fewer than 5 unique reviews.
    • Does not bypass CAPTCHAs or paywalls.

    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 any payment.

    Reviews

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    Fresh listing

    Recently published to Agensi

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Trust & safety

    Security scan

    Security scan passed 6 months ago

    Permissions

    No special permissions declared or detected

    Listed6 months ago

    What's inside

    Frequently Asked Questions

    This skill functions as a qualitative data scientist, converting messy CSV or JSON review data into evidence-backed marketing reports and structured JSON insights, eliminating the 'hallucinations' common with manual prompting.

    The skill is designed for agentic workflows and supports Python, PowerShell, and OpenClaw frameworks, making it compatible with most modern AI agent environments.

    Absolutely, the skill includes a deterministic workflow that automatically identifies and redacts sensitive PII (Personally Identifiable Information) before the analysis phase begins.

    You will receive the core logic for the extraction workflow, an integration guide for CLI-based automation (Python/PowerShell), and pre-configured templates for both JSON and Markdown reports.

    Yes, the skill is optimized to process structured data via CSV and JSON exports as well as schema.org JSON-LD web scraping for live URL analysis.

    New in Marketing & SEO