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🩹 Customer Pain Extractor
It systematically scans text for high-intent signals such as workflow frustration, "can't" statements, and churn indicators.
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See it in action
You say
Analyze the feedback in reviews.csv and tell me what the top three pain points are for our users.
Your agent does
Top Pain Points
- Sync Latency (Intensity: 9/10)
- "Waiting 5 mins for changes to appear."
- Meaning: Suboptimal DB indexing.
- Test: Prototype real-time local-first sync.
- Price/Value Gap (Intensity: 6/10)
- "Too expensive for just one feature."
- Meaning: Tiering issues.
What you get
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
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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I already had a forecasting tool but this gave us more detail that I had Claude take the best parts and merge it into my current agent to make it more robust.
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