By daizhouchen
Adaptive market demand analysis skill for Claude Code. Dynamically generates API call strategies, combines structured data collection with deep analysis frameworks (TAM/SAM/SOM, Porter Five Forces, JTBD, Blue Ocean Strategy), and outputs actionable market insight reports.
自适应市场需求分析 · 按场景自适应方法 · 输出可决策。
adaptive market demand analysis · scenario-aware methods.
一个为 Claude Code 设计的自适应市场需求分析 Skill。根据用户已配置的 API 动态生成调用策略,结合结构化数据采集与深度分析框架,输出可落地的市场洞察报告。
| 数据源 | 需要 API Key | 覆盖维度 |
|---|---|---|
| Google Trends | 否 | 市场趋势 |
| Google Play | 否 | 产品竞争 |
| App Store | 否 | 产品竞争 |
| 是(免费) | 用户需求 | |
| Product Hunt | 是(免费) | 产品竞争 |
| Amazon PA-API | 是(免费) | 产品竞争 |
| SimilarWeb | 是(付费) | 流量分析 |
| Crunchbase | 是(免费) | 竞品公司 |
config/config.example.yaml 复制为 config/config.yamlpip install -r requirements.txt
market-research/
├── SKILL.md # Skill 入口
├── config/
│ ├── config.example.yaml # API 配置模板
│ └── dimensions.yaml # 分析维度映射
├── references/
│ ├── analysis_framework.md # 分析方法论
│ ├── api_setup_guide.md # API 配置指南
│ └── data_source_specs.md # 数据源技术规格
├── tools/
│ ├── config_loader.py # 配置加载与检测
│ ├── strategy_engine.py # 动态策略引擎
│ ├── sources/ # 数据采集模块
│ └── analyzers/ # 数据分析模块
├── templates/ # 报告模板
└── examples/ # 示例输出
MIT
Part of daizhouchen 实验集 → 一个 AI 应用创造者的实验现场。
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