alter123-zz/market-researcher
skills/market-researcher/SKILL.md
市场调研自动化工具。从社交媒体挖掘用户痛点，分析竞品。Keywords: 市场调研, 竞品分析, market research.
$ install --global
skillsauthnpx skillsauth add alter123-zz/RaccoonClaw market-researcherInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- market-researcher
- description:
- 市场调研自动化工具。从社交媒体挖掘用户痛点，分析竞品。Keywords: 市场调研, 竞品分析, market research.
市场调研自动化 — 从社交媒体挖掘用户痛点分析竞品
概述
从社交媒体挖掘用户痛点分析竞品。适用于产品立项前市场验证、用户需求分析、竞品功能对比等场景。
触发关键词: 市场调研, 竞品分析, market research
前置依赖
pip install requests beautifulsoup4 pandas
核心能力
能力1：市场规模估算——TAM/SAM/SOM三层模型
市场规模估算——TAM/SAM/SOM三层模型
能力2：竞品深度分析——功能/定价/用户评价对比矩阵
竞品深度分析——功能/定价/用户评价对比矩阵
能力3：用户访谈框架和调研问卷自动生成
用户访谈框架和调研问卷自动生成
命令列表
| 命令 | 说明 | 用法 |
|------|------|------|
| research | 市场调研 | python3 scripts/market_researcher_tool.py research [参数] |
| compete | 竞品分析 | python3 scripts/market_researcher_tool.py compete [参数] |
| survey | 生成调研问卷 | python3 scripts/market_researcher_tool.py survey [参数] |
使用流程
场景 1
调研AI写作工具市场竞品
执行：
python3 scripts/market_researcher_tool.py research --market 'AI写作工具'
场景 2
对比5个竞品的功能和定价
执行：
python3 scripts/market_researcher_tool.py compete --products 'Jasper,Copy.ai,Notion AI'
场景 3
生成用户调研问卷
执行：
python3 scripts/market_researcher_tool.py survey --topic 'AI写作工具'
输出格式
# 📊 市场调研自动化报告
**生成时间**: YYYY-MM-DD HH:MM
## 核心发现
1. [关键发现1]
2. [关键发现2]
3. [关键发现3]
## 数据概览
| 指标 | 数值 | 趋势 | 评级 |
|------|------|------|------|
| 指标A | XXX | ↑ | ⭐⭐⭐⭐ |
| 指标B | YYY | → | ⭐⭐⭐ |
## 详细分析
[基于实际数据的多维度分析内容]
## 行动建议
| 优先级 | 建议 | 预期效果 |
|--------|------|----------|
| 🔴 高 | [具体建议] | [量化预期] |
| 🟡 中 | [具体建议] | [量化预期] |
| 🟢 低 | [具体建议] | [量化预期] |
参考资料
原有链接
- X/Twitter API，用户讨论数据
- 市场研究Agent完整用例
- Google Trends，搜索趋势分析
HackerNews
- HackerNews: AI市场调研工具和方法
- Reddit r/Entrepreneur: Entrepreneur社区AI相关讨论
微信公众号
- 微信公众号: AI市场调研——社交媒体需求挖掘
小红书
- 小红书: AI市场调研——从社交媒体挖掘用户痛点
注意事项
- 所有分析基于脚本获取的实际数据，不编造数据
- 数据缺失字段标注"数据不可用"而非猜测
- 建议结合人工判断使用，AI分析仅供参考
- 首次使用请先安装Python依赖：
pip install requests beautifulsoup4 pandas
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