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Product Strategy

Organization
devcodex-labs
product-strategy

产品策略专家 Owner — 当任务涉及需求价值、目标用户、范围取舍、优先级、路线图、成功指标、产品化文档或用户要求从产品专家角度审查时使用；要求把方案绑定用户问题、业务价值、阶段边界和可验证信号。

Overview

Publisherdevcodex-labs
Repositorydevcodex
Skill nameproduct-strategy
Stars
433
Forks
44
Bundled files
1
LicenseAGPL-3.0
Links
Skill sourceRepositoryHomepage
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by devcodex-labs on GitHub. Read the source before you install it.

Installation

Install the Product Strategy 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/devcodex-labs/devcodex/tree/main/content/skills/product-strategy
  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/devcodex-labs/devcodex.git /tmp/devcodex
mkdir -p .claude/skills
cp -r /tmp/devcodex/content/skills/product-strategy .claude/skills/product-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Product Strategy 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 Strategy 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 Strategy 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.

Product Strategy Skill

定位

本 Skill 负责产品策略 Owner 视角。它不替代正式 PRD，而是在需求、方案、文档、功能拆分和复审中确保输出不只“能开发”，还回答“为什么做、给谁做、先做什么、怎样算成功、哪些先不做”。

触发条件

场景是否触发
需求确认、功能范围、优先级、路线图、版本阶段、验收边界需要判断必须
用户要求从产品、业务、用户价值或最终使用者角度审查必须
技术方案会影响用户主路径、配置心智、文档站、README 或首次体验必须
纯内部代码修复且不改变用户行为、范围或交付承诺N/A + skipReason

核心门禁

Gate要求证据
ProductStrategyOwnerGate每个产品判断必须绑定目标用户、问题价值、范围边界和成功信号需求源、用户消息、现有功能、竞品/同类证据或项目事实
TargetUserProblemGate先定义目标用户和真实任务，再讨论功能形态targetUser、problemValue
PriorityTradeoffGate多个需求或方案冲突时必须说明优先级、放弃项和代价priorityTradeoff、scopeBoundary
SuccessSignalGate交付前定义可观察成功信号，避免只用“已实现”替代产品验收successSignals、acceptance
PhaseClosureGate多阶段需求必须写 entry / exit / carryOver / closeRulephaseBoundary

执行步骤

  1. 识别目标用户、使用场景和用户当前痛点。
  2. 将用户表达拆成主问题、次问题、非目标问题和隐含约束。
  3. 对每个候选功能做价值、风险、实现成本和验证成本对比。
  4. 给出本阶段范围边界：必须做、可延后、明确不做。
  5. 定义成功信号和验收方式，至少覆盖用户任务、可用性、文档或数据证据。
  6. 若进入技术方案或实施计划，确保每个需求维度都有 CP2、批次计划、验收和关闭规则。

输出字段

markdown
## ProductStrategyOwnerGate

| 字段 | 内容 |
|------|------|
| targetUser | 目标用户 / 使用者 / 决策者 |
| problemValue | 要解决的问题和价值 |
| priorityTradeoff | 优先级、取舍、延期项和原因 |
| scopeBoundary | 本阶段纳入、排除、后续批次 |
| successSignals | 可观察成功信号和验收方式 |
| riskDecision | 产品风险、误解风险和缓解策略 |
| evidenceMatrix | 判断 -> 用户消息 / 项目事实 / 文档 / 数据 / 同类证据 |

反模式

反模式修正
把用户建议原样当需求，不判断是否泛化或是否与目标冲突先做 PriorityTradeoffGate，给出采纳、降级或排除理由
技术方案只有模块和文件，没有用户成功信号补 successSignals 和验收路径
多阶段需求只写“后续处理”写 entry / exit / carryOver / closeRule
文档站或 README 只按开发者实现组织先按最终用户任务和配置路径组织，再放维护者细节

与其他 Skill 的关系

  • expert-output-quality：确保产品判断以专家口径表达，不停留在普通描述。
  • user-manual-authoring：用户文档需从 targetUser 和 successSignals 推导章节。
  • review-checklist：复审清单必须把 priority、phase closure 和 acceptance 物化为检查项。
  • dev-plan-review：CP2 若缺产品范围或验收边界，应阻断进入实施。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Product Strategy AI skill do?

产品策略专家 Owner — 当任务涉及需求价值、目标用户、范围取舍、优先级、路线图、成功指标、产品化文档或用户要求从产品专家角度审查时使用；要求把方案绑定用户问题、业务价值、阶段边界和可验证信号。

Why use Product Strategy on TypingMind?

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

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

Which AI models can use Product Strategy?

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 Strategy?

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

Is the Product Strategy AI skill free?

Yes. It is published on GitHub by devcodex-labs under the AGPL-3.0 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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