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Product Brief

Community
Job-Yang
product-brief

把一句需求、已有材料或机会评分卡转成可验收的 PRD 和执行计划。用户要写产品需求、界定 MVP、做平台取舍或拆里程碑时调用。OPC 内复用已确认输入,独立调用不要求先评分。

Overview

PublisherJob-Yang
Repositoryjobyang-ai-skills
Skill nameproduct-brief
Stars
100
Forks
5
Bundled files
6
LicenseMIT
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.

  • 6 bundled files

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

  • Open source

    Published by Job-Yang on GitHub. Read the source before you install it.

Installation

Install the Product Brief 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/Job-Yang/jobyang-ai-skills/tree/main/skills/product-brief
  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/Job-Yang/jobyang-ai-skills.git /tmp/jobyang-ai-skills
mkdir -p .claude/skills
cp -r /tmp/jobyang-ai-skills/skills/product-brief .claude/skills/product-brief
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Product Brief 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 Brief 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 Brief 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.

产品需求与计划

版本 0.2.1。先读包内 references/handoff.md。本技能只写产品产物;不自动编码、不自动发布,也不替用户批准计划。

输入与范围

接受直接描述、附件、显式文件路径或已批准的上游工件。主题明确即可开始,不强迫独立用户先跑雷达或评分。OPC 模式由当前 flow 明确指定,复用其输入、审批和输出目录;不重复询问已确认事项。

先提取目标人群、待解决问题、使用频率、关键场景、资源限制和已有决定。把事实、用户确认与假设分开。缺输入时先完成可独立推进的部分,只询问会改变实现范围的关键歧义。

执行

  1. 界定问题。 写清谁在什么场景遇到什么障碍、目前怎么解决、成功后如何变化。避免从功能清单倒推问题。
  2. 明确 MVP。 给每个功能稳定的 F 标识,记录触发条件、预期结果和可验证的验收条件。列出 out-of-scope,核心旅程只保留证明目标所必需的能力。
  3. 提出平台建议。 结合用户、使用频率和资源给推荐与替代方案,说明利弊。用户已决定则复用;不能擅自更换 Web、移动端、桌面端等形态。没有依据的收益、周期和流量数字标为待测目标。
  4. 整理 PRD。 使用 templates/prd.md 的字段,不机械套未相关章节。数据模型保持产品层面;技术选型和架构需要展开时交 engineering-docs。
  5. 整理计划。 使用 templates/plan.md。写里程碑、依赖、估算依据与不确定区间、交付物、验收责任及回退范围。设计和技术研究可以并行,不默认所有工作串行。
  6. 检查并交付。 每个 F 都有验收,计划引用的 F 存在。沿核心旅程检查会影响用户结果的输入规则:必填、格式、单位与精度、边界值、无效输入;已明确的写入验收,缺依据的列为待决或明确建议,不替用户拍板。只展开本任务相关项,局部改动不强加整套产品规划。未决问题要有解决方式。输出 PRD 与计划,均为待人审。完整计划不是开工授权,已得到的用户授权则明确记录。

如果需要外部信息才能选择方案,按需复用 outside-view;现有证据足够则直接工作。没有该技能也不能伪造行业共识或阻塞本地成文。

输出

prd-<topic>.md 与 plan-<topic>.md 使用同一 topic。两者 opc_node: prd,分别 artifact_kind: prd、artifact_kind: plan。直接输入的 upstream 为 null;计划可以引用本次 PRD。保留确认记录,不在机器自生成的头里写 approved。

正文完成后,用包内脚本封装与校验:

bash
python3 scripts/artifact_io.py seal --input prd-body.md --node prd --kind prd --topic example-product --producer standalone --out prd-example-product.md
python3 scripts/artifact_io.py seal --input plan-body.md --node prd --kind plan --topic example-product --upstream prd-example-product.md --out plan-example-product.md
python3 scripts/artifact_io.py pack --input prd-example-product.md plan-example-product.md --out result.zip

无 Python 时按 references/handoff.md 手工输出完整信封与正文,注明结构尚未机验。示例值不能冒充真实调研、工期或用户确认。

与相邻能力的边界

以下技能均为可选的后续能力,不是本技能的前置依赖。未安装时仍独立交付 PRD 和计划,展开到界面或工程实现之外的问题则标明交接范围。

  • opportunity-scorecard 判断潜力,本技能定义交付范围;不重复打分。
  • style-compass 负责界面结构、交互与视觉;本技能提供稳定需求和旅程,允许设计反馈修订。
  • engineering-docs 负责工程取舍与技术方案;方案改变工作量后更新计划版本及变更原因。
  • 流程或用户决定下一步;本技能不强制生成新会话、调用下游或操作项目审批。

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 Brief AI skill do?

把一句需求、已有材料或机会评分卡转成可验收的 PRD 和执行计划。用户要写产品需求、界定 MVP、做平台取舍或拆里程碑时调用。OPC 内复用已确认输入,独立调用不要求先评分。

Why use Product Brief on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Job-Yang/jobyang-ai-skills/tree/main/skills/product-brief. 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 Brief?

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 Brief?

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

Is the Product Brief AI skill free?

Yes. It is published on GitHub by Job-Yang 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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