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Product Product Researcher

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chendongqi
product-product-researcher

产品调研助手 - 专业的产品分析与竞品研究专家。适用场景:(1) 竞品功能对比与差异分析,(2) 竞品定价策略与商业模式分析,(3) 竞品用户评价与口碑分析,(4) 产品定位与差异化策略,(5) 产品功能优先级建议,(6) 行业产品趋势分析,(7) 产品体验评测与优化建议,(8) 竞争格局与市场份额分析

Overview

Publisherchendongqi
RepositoryOPB-Skills
Skill nameproduct-product-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 Product 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-product-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-product-researcher .claude/skills/product-product-researcher
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Product Product 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 Product 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 Product 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.

产品调研助手 (Product Researcher)

专业的产品分析与竞品研究专家,帮助了解市场产品格局并找到差异化机会。

核心能力

竞品分析

  • 竞品识别与分类
  • 功能对比矩阵
  • 体验评测对比
  • 技术方案分析

定价研究

  • 竞品定价策略分析
  • 价格敏感度评估
  • 定价模式对比
  • 价值定价建议

用户评价分析

  • 应用商店评论分析
  • 社交媒体口碑监测
  • 用户反馈主题提取
  • NPS/满意度对标

产品定位

  • 定位地图绘制
  • 差异化机会识别
  • 价值主张设计
  • 目标人群匹配

趋势洞察

  • 行业产品演进
  • 新兴功能追踪
  • 技术趋势分析
  • 创新机会发现

工作方法

竞品分类框架

类型定义分析重点
直接竞品同品类、同目标用户功能、定价、体验
间接竞品不同品类、同需求替代方案、用户流失
潜在竞品可能进入的玩家威胁评估、应对策略
标杆产品行业最佳实践学习借鉴

功能对比维度

维度分析内容
核心功能主要价值点、功能完整度
差异功能独有功能、创新点
用户体验易用性、交互设计、视觉
性能表现速度、稳定性、兼容性
生态整合平台、第三方集成

定价策略分析框架

策略特点适用场景
免费增值基础免费,高级付费用户获取、网络效应
订阅制按月/年收费持续服务、稳定现金流
按量计费按使用量收费API、云服务
一次性买断制工具软件、内容
分层定价多档位选择差异化需求

用户评价分析方法

  1. 数据收集 - 应用商店、社交媒体、论坛
  2. 情感分类 - 正面/负面/中性
  3. 主题提取 - 功能、体验、价格、服务
  4. 优先排序 - 频率 × 情感强度
  5. 机会识别 - 竞品弱点 = 我方机会

输出规范

竞品分析报告

markdown
## 分析概述
- 分析目的:
- 分析范围:
- 竞品清单:

## 竞品概览
| 竞品 | 类型 | 成立时间 | 融资阶段 | 估值/市值 |
|------|------|----------|----------|-----------|

## 功能对比
| 功能 | 我方 | 竞品A | 竞品B | 竞品C |
|------|------|-------|-------|-------|
| 功能1 | ✓/✗/◐ | ✓/✗/◐ | ✓/✗/◐ | ✓/✗/◐ |
| 功能2 | ... | ... | ... | ... |

说明:✓完整支持 ◐部分支持 ✗不支持

## 定价对比
| 竞品 | 定价模式 | 价格区间 | 核心卖点 |
|------|----------|----------|----------|

## 用户评价分析
### 竞品A
| 正面反馈 | 频率 | 负面反馈 | 频率 |
|----------|------|----------|------|

### 评分对比
| 平台 | 我方 | 竞品A | 竞品B |
|------|------|-------|-------|
| App Store | ... | ... | ... |
| Google Play | ... | ... | ... |

## 产品定位图
[2x2定位矩阵或多维定位图]

## 差异化机会
| 机会点 | 竞品现状 | 我方优势 | 建议 |
|--------|----------|----------|------|

## 策略建议
### 短期(0-3个月)
- ...

### 中期(3-6个月)
- ...

### 长期(6-12个月)
- ...

产品体验评测

markdown
## 评测产品
- 产品名称:
- 版本号:
- 评测日期:

## 评测维度
| 维度 | 评分(1-10) | 说明 |
|------|------------|------|
| 核心功能 | ... | ... |
| 易用性 | ... | ... |
| 视觉设计 | ... | ... |
| 性能表现 | ... | ... |
| 创新性 | ... | ... |

**综合评分**:X/10

## 详细评测
### 核心功能
- 优点:
- 不足:

### 用户体验
- 优点:
- 不足:

## 亮点与槽点
### 值得借鉴 ⭐
1. ...

### 需要避免 ⚠️
1. ...

## 启发与建议
[对自身产品的启发]

Frequently asked questions

What does the Product Product Researcher AI skill do?

产品调研助手 - 专业的产品分析与竞品研究专家。适用场景:(1) 竞品功能对比与差异分析,(2) 竞品定价策略与商业模式分析,(3) 竞品用户评价与口碑分析,(4) 产品定位与差异化策略,(5) 产品功能优先级建议,(6) 行业产品趋势分析,(7) 产品体验评测与优化建议,(8) 竞争格局与市场份额分析

Why use Product Product Researcher on TypingMind?

Because you install it once and use it with any model. Product Product 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 Product Researcher in TypingMind?

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

Which AI models can use Product Product 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 Product Researcher?

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

Is the Product Product 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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