Pm/Competitive Analysis

Community

echoVic

pm/competitive-analysis

竞品调研和分析方法，通过系统性分析竞品的功能、体验和策略，发现差异化机会

Overview

Publisher	echoVic
Repository	`boss-skill`
Skill name	`pm/competitive-analysis`
Stars	562
Forks	51
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 echoVic on GitHub. Read the source before you install it.

Installation

Install the Pm/Competitive Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/echoVic/boss-skill/tree/main/skill/skills/pm/competitive-analysis
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.

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/echoVic/boss-skill.git /tmp/boss-skill
mkdir -p .claude/skills
cp -r /tmp/boss-skill/skill/skills/pm/competitive-analysis .claude/skills/echovic-pm-competitive-analysis

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pm/Competitive Analysis 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 Pm/Competitive Analysis 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 Pm/Competitive Analysis 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.

竞品调研与分析方法论

适用场景

在产品设计前或迭代时，需要了解市场上已有的解决方案，学习竞品的优点，发现竞品的不足，找到差异化机会。

核心方法

1. 竞品识别

直接竞品：解决相同问题、服务相同用户的产品 间接竞品：解决相似问题或服务相似用户的产品 潜在竞品：未来可能进入该领域的产品

识别方法：

使用 WebSearch 搜索关键词："{功能} + 工具/软件/平台"
搜索 "best {功能} tools 2026"
搜索 "{功能} alternatives"
查看行业报告和评测文章

2. 竞品分析框架

对每个竞品，从以下5个维度进行分析：

2.1 功能维度

分析点	问题
核心功能	主要解决什么问题？
功能广度	覆盖了哪些场景？
功能深度	每个功能做到什么程度？
功能缺失	用户期望但没有的功能？

2.2 体验维度

分析点	问题
易用性	新用户能快速上手吗？
流畅度	完成任务的步骤多吗？
视觉设计	界面美观吗？符合用户审美吗？
交互设计	交互符合直觉吗？有惊喜吗？
性能表现	加载快吗？响应及时吗？

2.3 用户维度

分析点	问题
目标用户	主要服务哪类用户？
用户评价	用户喜欢什么？抱怨什么？
用户规模	有多少用户？增长如何？
用户粘性	用户活跃度如何？留存如何？

2.4 商业维度

分析点	问题
商业模式	如何赚钱？
定价策略	价格如何？用户接受度如何？
市场定位	高端还是大众？
竞争优势	核心壁垒是什么？

2.5 技术维度

分析点	问题
技术架构	使用什么技术栈？
技术创新	有技术上的创新吗？
技术限制	技术上有什么局限？

3. 竞品对比分析

使用 WebFetch 深入分析竞品后，整理为对比表格：

竞品	核心功能	用户体验亮点	用户痛点	我们的机会
[竞品 1]	[功能]	[亮点]	[痛点]	[机会]
[竞品 2]	[功能]	[亮点]	[痛点]	[机会]
[竞品 3]	[功能]	[亮点]	[痛点]	[机会]

关键要点：

核心功能：简洁描述，不超过3个
用户体验亮点：值得学习的地方
用户痛点：从用户评价中提取真实痛点
我们的机会：基于痛点，我们可以如何做得更好

4. 差异化策略

基于竞品分析，制定差异化策略：

维度	竞品做法	我们的做法	差异化价值
[维度 1]	[做法]	[做法]	[价值]
[维度 2]	[做法]	[做法]	[价值]

差异化维度示例：

功能差异：提供竞品没有的功能
体验差异：同样的功能，更好的体验
定位差异：服务不同的用户群体
价格差异：不同的定价策略
技术差异：使用更先进的技术

调研工具使用

WebSearch 使用技巧

搜索竞品：


"{功能} tools"
"best {功能} software 2026"
"{竞品名} alternatives"
"{竞品名} vs {竞品名}"

搜索用户评价：


"{竞品名} review"
"{竞品名} pros and cons"
"{竞品名} reddit" (Reddit上的真实讨论)

搜索行业趋势：


"{行业} trends 2026"
"{行业} market report"

WebFetch 使用技巧

深度分析竞品：

访问竞品官网，了解产品定位和核心功能
访问竞品定价页面，了解商业模式
访问用户评价网站（如 G2, Capterra），了解用户反馈
访问竞品博客，了解产品演进方向

提示词示例：


"总结这个产品的核心功能、目标用户和主要优势"
"提取用户评价中的主要痛点和亮点"
"分析这个产品的差异化策略"

输出要求

完成竞品调研后，应输出以下内容（通常作为PRD的第3章）：

3. 竞品调研

3.1 竞品分析

竞品	核心功能	用户体验亮点	用户痛点	我们的机会
[竞品 1]	[功能]	[亮点]	[痛点]	[机会]
[竞品 2]	[功能]	[亮点]	[痛点]	[机会]
[竞品 3]	[功能]	[亮点]	[痛点]	[机会]

3.2 差异化策略

维度	竞品做法	我们的做法	差异化价值
[维度 1]	[做法]	[做法]	[价值]
[维度 2]	[做法]	[做法]	[价值]

3.3 市场洞察

市场空白：[竞品都没做好的地方]
用户痛点：[用户普遍抱怨的问题]
趋势机会：[行业发展趋势带来的机会]

关键原则

不只看功能，更看体验：功能相同，体验可以差很多
不只看产品，更看用户：用户怎么说比产品怎么说更重要
不只看现在，更看趋势：理解竞品的演进方向
不只学习，更要超越：学习亮点，避免痛点，创造惊喜

常见误区

❌ 只看功能列表：功能多不代表体验好 ❌ 只看官网宣传：要看真实用户评价 ❌ 只看头部竞品：小而美的产品也有值得学习的地方 ❌ 照搬竞品：要理解背后的逻辑，而不是简单模仿

Frequently asked questions

What does the Pm/Competitive Analysis AI skill do?

竞品调研和分析方法，通过系统性分析竞品的功能、体验和策略，发现差异化机会

Why use Pm/Competitive Analysis on TypingMind?

Because you install it once and use it with any model. Pm/Competitive Analysis 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 Pm/Competitive Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/echoVic/boss-skill/tree/main/skill/skills/pm/competitive-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pm/Competitive Analysis?

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 Pm/Competitive Analysis?

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

Is the Pm/Competitive Analysis AI skill free?

Yes. It is published on GitHub by echoVic under the MIT license. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

竞品调研与分析方法论

适用场景

核心方法

1. 竞品识别

2. 竞品分析框架

2.1 功能维度

2.2 体验维度

2.3 用户维度

2.4 商业维度

2.5 技术维度

3. 竞品对比分析

4. 差异化策略

调研工具使用

WebSearch 使用技巧

WebFetch 使用技巧

输出要求

3. 竞品调研

3.1 竞品分析

3.2 差异化策略

3.3 市场洞察

关键原则

常见误区

Frequently asked questions

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