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    🩹 Customer Pain Extractor

    🩹 Customer Pain Extractor

    by JustHandled Labs

    Pull the real pain points out of your customer feedback so you build what people actually want. Paste a dump of comments, reviews, forum threads, or support tickets and it extracts the complaints, wishes, churn signals, and pricing objections, clusters them into ranked themes, and shows the example quotes behind each one. The "pull ten pains, tag by theme" validation step founders skip, done in one pass.

    Updated Jun 2026
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    $12

    · or 60 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Also available in a bundle

    Included in download

    • Identify high-intensity churn signals in support logs
    • Cluster feature requests into actionable product themes
    • terminal automation included
    • Ready for Cursor
    • Instant install

    Sample input

    Analyze the feedback in reviews.csv and tell me what the top three pain points are for our users.

    Sample output

    Top Pain Points

    1. Sync Latency (Intensity: 9/10)
    • "Waiting 5 mins for changes to appear."
    • Meaning: Suboptimal DB indexing.
    • Test: Prototype real-time local-first sync.
    1. Price/Value Gap (Intensity: 6/10)
    • "Too expensive for just one feature."
    • Meaning: Tiering issues.

    About This Skill

    What it does

    The Customer Pain Extractor is a specialized developer tool designed to transform unstructured feedback—like CSV exports, forum threads, and support logs—into actionable product insights. It systematically scans text for high-intent signals such as workflow frustration, "can't" statements, and churn indicators.

    Why use this skill

    Parsing hundreds of customer reviews manually is time-consuming and prone to bias. This skill uses a structured heuristic engine to identify repeated themes and rank them by frequency and intensity. Unlike a standard LLM prompt, it follows a rigorous audit checklist to prevent overclaiming market validation and ensures every insight is backed by direct customer quotes.

    What the output looks like

    You receive a prioritized list of themes (e.g., "Slow UI Response," "Pricing Friction") paired with raw customer quotes, an intensity score, and a "What to test next" recommendation. It provides a clear bridge between raw data and your next sprint planning or discovery phase.

    Supported tools

    • Local file formats: .txt, .md, .csv
    • Direct stdin input for pasted feedback
    • Customizable heuristic matching via JSON configuration

    Use Cases

    • Identify high-intensity churn signals in support logs
    • Cluster feature requests into actionable product themes
    • Extract direct customer quotes for sprint planning and user stories
    • Audit feedback for "can't" statements and workflow blockers

    Reviews

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell

    Allowed Hosts

    www.agensi.io

    File Scopes

    customer-pain-extractor/**
    **/*.txt
    **/*.md
    **/*.csv
    --stdin

    Read-only. The pain, desire, churn, and pricing cue lists load from an editable references/pain-cues.json. It reads no environment variables and writes nothing.

    Works with any agent that can read a file and run a local Python script (Claude Code, Cursor, Codex CLI, and other SKILL.md-compatible agents). Standard library only, no install step. Read-only, no network.

    Creator

    JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.

    Frequently Asked Questions

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