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product-insight-miner

Aggregate and analyze user feedback from Reddit, X, and Xiaohongshu into structured HTML reports.

71|9|Updated Mar 9, 2026
Search Tags:#prioritization#HTML report#product-insight#multi-platform feedback#user-reported pain points#AI product manager
One-click install
npx skills add https://github.com/chusimin/AIPM-Skills --skill product-insight-miner
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: product-insight-miner
Source: https://github.com/chusimin/AIPM-Skills/tree/main/product-insight-miner
Command: npx skills add https://github.com/chusimin/AIPM-Skills --skill product-insight-miner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

从多平台采集真实的用户声音，并进行结构化聚类和优先级分析，生成可直接用于决策的洞察报告，帮助 AI 产品经理快速发现机会与风险。

Core Features & Use Cases

  • 融合三大平台素材：自动搜索采集与手动素材投喂两种工作模式可混合使用，输出可视化洞察。
  • 痛点聚类与优先级排序：基于频率与强度打分，提炼 TOP 3 机会及跨平台验证。
  • HTML 报告输出：生成单文件 HTML 报告，包含头部、执行摘要、优先级矩阵、痛点簇、竞品盲区、TOP机会和原始素材摘录等模块。
  • 跨竞品盲区分析：对比竞品在痛点上的覆盖情况，标记未解决盲区。
  • Use Case：当用户提出“挖掘产品灵感”等需求时，启动完整流程并输出可直接用于决策的报告。

Quick Start

输入挖掘主题并选择模式，开始自动搜索与手动投喂混合收集素材，待素材充足后请求生成报告。

Frequently Asked Questions about product-insight-miner

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I aggregate user feedback from Reddit, X, and Xiaohongshu for product insights?▼

You can aggregate multi-platform feedback by combining automatic search collection with manual material feeding. This captures user-reported pain points from Reddit, X, and Xiaohongshu for structured analysis and prioritization.

What is the best way to prioritize user-reported pain points for product decisions?▼

Prioritize user-reported pain points by scoring them based on frequency and intensity across platforms. This produces structured pain-point clustering and a priority matrix to guide product decision making.

How do I generate an HTML report for multi-platform user feedback analysis?▼

Generate an HTML report by feeding sufficient collected materials into the workflow. It outputs a single-file HTML report containing an executive summary, priority matrix, pain-point clusters, competitive blind spots, and top opportunities.

Can I analyze competitive blind spots using cross-platform user feedback?▼

Yes, you can analyze competitive blind spots by comparing competitor coverage against aggregated pain points from Reddit, X, and Xiaohongshu. This cross-platform validation highlights unresolved blind spots to reveal new opportunities.

Do I need to manually collect all materials for cross-platform feedback analysis?▼

No, manual collection is not required for cross-platform feedback analysis. The workflow supports automatic data collection which can be mixed with manual material feeding to gather sufficient input for generating insights.

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