Pm/Strategic Review

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echoVic

pm/strategic-review

从CEO/战略视角进行商业价值评审，评估市场契合度、ROI、竞争优势、风险和战略对齐

Overview

Publisher	echoVic
Repository	`boss-skill`
Skill name	`pm/strategic-review`
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/Strategic Review 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/strategic-review
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/strategic-review .claude/skills/echovic-pm-strategic-review

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

Use it in TypingMind

Enable Pm/Strategic Review 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/Strategic Review 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/Strategic Review 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.

战略评审（Boss Review）

适用场景

当需要从 CEO/战略高度评估一个功能或项目的商业价值时使用。不同于技术评审关注实现质量，战略评审关注做不做和为什么做。

典型场景：

新功能立项前的价值论证
资源有限时的优先级决策
产品方向调整的论证
投资人/利益相关者沟通准备

核心方法

第一维度：市场契合度（Market Fit）

评估产品/功能与市场需求的匹配程度：

评估项	问题	评分标准
目标市场	TAM/SAM/SOM 分别多大？	清晰可量化 = 高分
痛点强度	用户痛点是止痛药还是维生素？	必须有 > 最好有 > 可以有
时机	为什么是现在？	有明确时间窗口 = 高分
验证程度	有多少用户验证？	付费验证 > 使用验证 > 口头验证 > 假设

第二维度：投资回报率（ROI）

量化投入产出比：

评估项	问题	评分标准
开发成本	需要多少人天？	精确估算 = 高分
运营成本	上线后持续投入？	低维护 = 高分
收益模型	直接/间接收益如何？	有历史数据支撑 = 高分
回收周期	多久能回本？	<3个月 = 优 / <6个月 = 良 / >12个月 = 需论证
机会成本	不做什么来做这个？	机会成本可控 = 高分

第三维度：竞争优势（Competitive Advantage）

评估护城河和差异化：

评估项	问题	评分标准
技术壁垒	竞对复制需要多久？	>6个月 = 强壁垒
网络效应	用户越多越好用吗？	有强网络效应 = 高分
数据优势	有独占数据资产吗？	数据不可替代 = 高分
品牌认知	能否建立心智定位？	有清晰定位 = 高分
切换成本	用户迁移难度？	高切换成本 = 高分

第四维度：风险矩阵（Risk Assessment）

识别和评估风险：

风险类型	评估要素	缓解方案
市场风险	需求是否真实、市场是否足够大	MVP 验证、用户访谈
技术风险	是否有未验证的技术假设	技术 spike、原型验证
执行风险	团队是否有能力按时交付	分阶段交付、招聘计划
合规风险	是否涉及法规/政策限制	法务咨询、合规审查
依赖风险	是否依赖不可控的外部因素	备选方案、合同约束

第五维度：战略对齐（Strategic Alignment）

评估与公司战略的一致性：

评估项	问题	评分标准
愿景匹配	与公司3-5年愿景一致吗？	强关联 = 高分
能力杠杆	能否复用现有优势？	高杠杆 = 高分
协同效应	与其他产品线有协同吗？	1+1>2 = 高分
资源匹配	现有资源能否支撑？	资源充足 = 高分

评审决策框架

综合评分规则

每个维度 1-5 分，加权计算综合分：

市场契合度：权重 30%
ROI：权重 25%
竞争优势：权重 20%
风险评估：权重 15%（此项为风险可控程度）
战略对齐：权重 10%

决策映射

综合分	决策	说明
≥ 4.0	✅ 推进	全力推进，优先分配资源
3.0 - 3.9	⚠️ 需调整	方向正确但需优化具体方案
< 3.0	❌ 暂缓	暂不投入，需重新论证或等待时机

输出要求

使用 strategic-review.md.template 模板输出到 .boss/<feature>/strategic-review.md，包含：

执行摘要：商业价值评级(1-5)、推荐决策、关键洞察（1-2句）
五维分析详情：每个维度的评分和关键判断依据
风险矩阵表：风险项 × 影响程度 × 发生概率 × 缓解方案
战略建议：具体的行动建议（推进/调整/暂缓的理由和下一步）
关键假设：列出评审中的关键假设，标注验证状态

Frequently asked questions

What does the Pm/Strategic Review AI skill do?

从CEO/战略视角进行商业价值评审，评估市场契合度、ROI、竞争优势、风险和战略对齐

Why use Pm/Strategic Review on TypingMind?

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

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

Which AI models can use Pm/Strategic Review?

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/Strategic Review?

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

Is the Pm/Strategic Review 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

战略评审（Boss Review）

适用场景

核心方法

第一维度：市场契合度（Market Fit）

第二维度：投资回报率（ROI）

第三维度：竞争优势（Competitive Advantage）

第四维度：风险矩阵（Risk Assessment）

第五维度：战略对齐（Strategic Alignment）

评审决策框架

综合评分规则

决策映射

输出要求

Frequently asked questions

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