Universal Agent Skills
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Skill/Research/Original by Mehansh

Pain Point Miner

Authentic customer complaint extraction with mechanical deduplication.

What It Does

Extracts real user complaints and product frustrations from forums, subreddits, and customer reviews into structured tabular data, enforcing mechanical fetch verification and deduplication.

Architecture and Design Rationale

Created during research work at SVS Aqua Technologies LLP to collect over four hundred verified consumer odor complaints without generating synthetic text.

Attribution: Original methodology developed and verified during industry research at SVS Aqua Technologies LLP.

When to Activate

  • •Conducting voice of customer research or competitor complaint analysis
  • •Harvesting pain points from Reddit, Quora, or review forums
  • •Building verified problem banks for product discovery

When to Avoid

  • •Generating synthetic marketing personas or speculative feedback

Skill Specification and Runtime Setup

Full Instruction Specification
# Pain Point Miner Specification

## Overview
Extracts real user complaints and product frustrations from forums, subreddits, and customer reviews into structured tabular data, enforcing mechanical fetch verification and deduplication.

## Rationale
Created during research work at SVS Aqua Technologies LLP to collect over four hundred verified consumer odor complaints without generating synthetic text.

## Core Principles
* Always verify environment constraints and dependencies before executing.
* Enforce negative constraints and reject speculative abstractions.
* Validate output against stated acceptance rubrics.

## Execution Workflow
1. Discovery: Map requirements and inspect active context.
2. Decomposition: Break down the task into discrete, verifiable phases.
3. Execution: Implement surgical changes preserving existing code architecture.
4. Verification: Test all criteria before declaring completion.

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