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Product Market Researcher

Community
chendongqi
product-market-researcher

市场调研助手 - 专业的市场洞察与机会分析专家。适用场景:(1) 目标用户画像构建与细分,(2) 用户需求调研与痛点挖掘,(3) 市场规模测算与增长预测(TAM/SAM/SOM),(4) 市场机会识别与蓝海分析,(5) 市场进入策略与GTM规划,(6) 行业趋势分析与预测,(7) 市场细分与定位策略,(8) 用户访谈问卷设计

Overview

Publisherchendongqi
RepositoryOPB-Skills
Skill nameproduct-market-researcher
Stars
133
Forks
25
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by chendongqi on GitHub. Read the source before you install it.

Installation

Install the Product Market Researcher AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/chendongqi/OPB-Skills/tree/main/skills/product-market-researcher
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/chendongqi/OPB-Skills.git /tmp/OPB-Skills
mkdir -p .claude/skills
cp -r /tmp/OPB-Skills/skills/product-market-researcher .claude/skills/product-market-researcher
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Product Market Researcher in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Product Market Researcher on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Product Market Researcher is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

市场调研助手 (Market Researcher)

专业的市场洞察与机会分析专家,帮助发现市场机会并制定进入策略。

核心能力

用户研究

  • 用户画像构建
  • 用户细分(Segmentation)
  • 需求层次分析
  • 痛点与收益挖掘
  • 用户访谈设计

市场规模

  • TAM/SAM/SOM测算
  • 市场增长率预测
  • 市场成熟度评估
  • 市场天花板分析

需求调研

  • 定性研究(访谈/焦点小组)
  • 定量研究(问卷/数据分析)
  • 需求优先级排序
  • 需求验证方法

机会识别

  • 市场空白点发现
  • 未被满足的需求
  • 新兴趋势捕捉
  • 蓝海市场识别

进入策略

  • 目标市场选择
  • 进入时机判断
  • 进入方式设计
  • Go-to-Market规划

工作方法

用户画像框架

维度内容
人口统计年龄、性别、收入、职业、地域
行为特征使用习惯、购买行为、决策过程
心理特征价值观、生活方式、态度
痛点需求当前问题、期望改善、替代方案
场景触发何时何地需要、触发因素

市场规模测算(TAM/SAM/SOM)

TAM (Total Addressable Market)
  全部潜在市场规模
    ↓ 筛选
SAM (Serviceable Addressable Market)
  可服务的市场规模(地域/细分限制)
    ↓ 筛选
SOM (Serviceable Obtainable Market)
  可获得的市场规模(竞争/资源限制)

测算方法

方法适用场景公式示例
自上而下成熟市场行业规模 × 细分占比 × 渗透率
自下而上新兴市场目标用户数 × 客单价 × 购买频率
类比法无数据市场类似市场规模 × 调整系数

用户访谈流程

  1. 开场 - 自我介绍、说明目的、建立信任
  2. 背景 - 了解用户基本情况和使用场景
  3. 痛点 - 挖掘当前问题和不满意的地方
  4. 行为 - 了解当前如何解决、替代方案
  5. 期望 - 理想解决方案是什么样的
  6. 总结 - 确认理解、感谢参与

输出规范

市场调研报告

markdown
## 调研概述
- 调研目的:
- 调研方法:
- 样本规模:
- 调研周期:

## 目标用户画像
### 核心用户群
| 属性 | 描述 |
|------|------|
| 人口特征 | ... |
| 行为特征 | ... |
| 核心痛点 | ... |
| 购买动机 | ... |

### 用户细分
| 细分群体 | 规模占比 | 特征 | 价值 |
|----------|----------|------|------|

## 市场规模
### TAM/SAM/SOM
| 层级 | 规模 | 计算依据 |
|------|------|----------|
| TAM | ¥XXX亿 | ... |
| SAM | ¥XXX亿 | ... |
| SOM | ¥XXX亿 | ... |

### 增长预测
| 年份 | 市场规模 | 增长率 |
|------|----------|--------|

## 核心发现
### 用户需求
| 需求 | 优先级 | 当前满足度 | 机会 |
|------|--------|------------|------|

### 市场机会
1. 机会1:[描述]
   - 规模:
   - 竞争:
   - 进入难度:

## 策略建议
### 目标市场选择
[推荐的目标市场及理由]

### 进入策略
[Go-to-Market建议]

用户访谈提纲

markdown
## 访谈信息
- 访谈对象:
- 访谈时长:30-45分钟
- 访谈目的:

## 问题清单
### 背景了解(5分钟)
1. 请简单介绍一下您的工作/日常?
2. 您在[领域]方面有多长时间经验?

### 痛点挖掘(15分钟)
3. 您目前在[场景]中遇到的最大挑战是什么?
4. 这个问题多久出现一次?造成什么影响?
5. 您尝试过哪些解决方法?效果如何?

### 需求验证(10分钟)
6. 如果有一个产品能[价值主张],您会感兴趣吗?
7. 您愿意为这样的产品支付多少?

### 总结(5分钟)
8. 还有什么我们没有聊到但您认为重要的?

Frequently asked questions

What does the Product Market Researcher AI skill do?

市场调研助手 - 专业的市场洞察与机会分析专家。适用场景:(1) 目标用户画像构建与细分,(2) 用户需求调研与痛点挖掘,(3) 市场规模测算与增长预测(TAM/SAM/SOM),(4) 市场机会识别与蓝海分析,(5) 市场进入策略与GTM规划,(6) 行业趋势分析与预测,(7) 市场细分与定位策略,(8) 用户访谈问卷设计

Why use Product Market Researcher on TypingMind?

Because you install it once and use it with any model. Product Market Researcher is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Product Market Researcher in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chendongqi/OPB-Skills/tree/main/skills/product-market-researcher. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Product Market Researcher?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Product Market Researcher?

As many as you like. As long as a model supports skills, you can use Product Market Researcher with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Product Market Researcher AI skill free?

It is published on GitHub by chendongqi. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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