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Pm Prd Review

Community
konglong87
pm-prd-review

Use when: 需要评审 PRD/BRD/MRD 等需求文档的质量、检查完整性/清晰度/可行性/指标/风险/一致性、在开发前做文档把关 Do NOT use when: 文档尚未产出(应先 /pm-docs 生成);仅需口头讨论无需书面评审

Overview

Publisherkonglong87
RepositorysuperPM
Skill namepm-prd-review
Stars
86
Forks
8
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by konglong87 on GitHub. Read the source before you install it.

Installation

Install the Pm Prd Review 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/konglong87/superPM/tree/main/skills/02-solution-design/pm-prd-review
  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/konglong87/superPM.git /tmp/superPM
mkdir -p .claude/skills
cp -r /tmp/superPM/skills/02-solution-design/pm-prd-review .claude/skills/pm-prd-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pm Prd 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 Prd 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 Prd 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.

Preamble (run first)

bash
# 检查待评审文档
echo "📋 查找待评审文档..."
for f in "docs/02-方案设计/PRD产品需求文档.md" "docs/02-方案设计/BRD商业需求文档.md" "docs/02-方案设计/MRD市场需求文档.md" "docs/02-方案设计/PRD.md"; do
  if [ -f "$f" ]; then echo "✅ 找到: $f"; fi
done

写入时边界

只讨论时不写文件,启动检查不创建目录。用户要求保存产物时,先确认当前产品、精确输出路径及已有文件的覆盖/追加选择;确认后仅在实际 Write 前创建该输出文件的父目录。完整安装可参见 skills/_shared/artifact-policy.md,单独安装本 skill 也按本段执行。


前置门禁

本技能用于评审已有文档,必须先有可评审文件:

  1. 检查 docs/02-方案设计/ 下是否存在 PRD/BRD/MRD(或用户提供的其他路径)。
  2. 若存在 → 读取并进入评审流程。
  3. 若不存在 → 停止,告知用户先执行 /pm-docs 生成文档,或提供文档路径/内容后再评审。

不得在门禁不满足时编造评审对象。


跨 Agent 交互规则

当流程要求与用户交互时:

  1. 如果当前环境支持 AskUserQuestion,使用 AskUserQuestion(最佳体验)。
  2. 如果当前环境不支持 AskUserQuestion,必须用普通聊天消息提出同样问题。
  3. 一次只问一个问题。
  4. 提问后必须停止当前回合,等待用户回答(STOP and WAIT)。
  5. 不得在用户回答前生成文档、写入 docs。
  6. 已有 docs 文件不能替代本轮用户回答。

适用场景

  • 用户说"评审 PRD""PRD 写得怎么样""帮我审一下需求文档""文档质量检查""BRD 复盘"
  • 与 pm-docs 区分:pm-docs 是"写",本技能是"审"——在开发/评审会前做质量把关。

执行流程

步骤 1: 确定评审范围与标准(主 agent - 用户交互)

使用 AskUserQuestion 询问:

🔍 评审设置

你要评审哪个文档 / 哪些维度?

A) 评审 PRD(默认全套维度) B) 评审 BRD C) 评审 MRD D) 自定义维度(仅完整性 / 仅可行性 / 仅风险 …)

评审严格度:

  1. 快速体检(关键问题)
  2. 深度评审(逐条清单,推荐用于评审会前)

记录到变量 REVIEW_DOC 与 REVIEW_MODE。


步骤 2: 读取待评审文档(主 agent)

使用 Read 工具读取 REVIEW_DOC。

若文档过大,提取关键章节(背景、目标、范围、功能需求、非功能需求、指标、风险、排期)进入评审上下文。


步骤 3: 逐项评审(主 agent)

按以下清单逐项核对,标注【通过 / 建议 / 严重】:

1. 完整性与背景

  • 是否说明背景与要解决的问题
  • 目标与成功标准是否明确
  • 范围(in/out)是否清晰

2. 清晰度与一致性

  • 功能需求是否可测试、无歧义
  • 术语/口径是否全文一致
  • 与 BRD/MRD/技术文档是否冲突

3. 可行性与资源

  • 是否评估技术可行性
  • 是否标注依赖与排期
  • 是否识别关键资源缺口

4. 指标与验证

  • 是否有可度量的验收标准
  • 是否定义上线后验证方式(数据/埋点)

5. 风险与兜底

  • 是否列出主要风险与应对
  • 是否有降级/异常处理方案

6. 用户与体验

  • 是否体现目标用户与核心场景
  • 关键流程是否有交互/边界说明

步骤 4: 生成评审报告(主 agent)

使用 Write 工具生成 docs/02-方案设计/PRD评审报告.md:

markdown
# {文档类型} 评审报告

## 文档信息
- 被评审文档: {路径}
- 评审模式: {快速/深度}
- 评审日期: {当前时间}
- 生成工具: super-pm / pm-prd-review

---

## 一、总体结论
- 评审结果: 【可进入评审会 / 需修改后复审 / 重大缺陷】
- 严重问题数: {n} | 建议数: {m}

## 二、问题清单
| 编号 | 维度 | 级别 | 问题描述 | 修改建议 |
|------|------|------|---------|---------|
| Q1 | 完整性 | 严重 | {问题} | {建议} |
| Q2 | 可行性 | 建议 | {问题} | {建议} |

## 三、亮点
- {文档做得好的地方}

## 四、修改优先级
- P0(必须改): {列表}
- P1(建议改): {列表}

## 五、下一步建议
1. /pm-docs - 按评审意见修订文档
2. /pm-tech - 确认技术可行性
3. /pm-data - 补数据指标体系

步骤 5: 推荐下一步(主 agent)

✅ 评审报告已生成:docs/02-方案设计/PRD评审报告.md

建议执行:

  1. /pm-docs - 按评审意见修订
  2. /pm-tech - 技术可行性确认
  3. /pm-data - 补齐指标

输出质量对比

✅ Good 示例:

  • 问题可定位:「Q3 验收标准缺失:登录成功率无基线值,无法判定是否达标」
  • 有级别与建议:「级别:严重;建议:补充埋点与基线目标」
  • 有总体结论:「需修改后复审」

❌ Bad 示例:

  • 泛泛:「文档还可以,再完善下」
  • 无定位、无级别
  • 不区分严重/建议

常见误区 / Red Flags — STOP

误区正确做法
凭感觉评审严格按六维清单逐项核对
只说"不好"不给建议每条问题必须附修改建议
不分严重级别区分严重/建议,便于排期修改
评审后无结论必须给出可进入评审会/需复审的结论

产出质量检查 / Verification Checklist

  • 已读取待评审文档(前置门禁通过)
  • 已按六维清单逐项评审
  • 问题已分级(严重/建议)并附建议
  • 已给出总体结论
  • 输出文档已生成到 docs/02-方案设计/
  • 已推荐 2-3 个后续 skill

⚠️ 任何一项未通过 → 补全后再标记完成。


Frequently asked questions

What does the Pm Prd Review AI skill do?

Use when: 需要评审 PRD/BRD/MRD 等需求文档的质量、检查完整性/清晰度/可行性/指标/风险/一致性、在开发前做文档把关 Do NOT use when: 文档尚未产出(应先 /pm-docs 生成);仅需口头讨论无需书面评审

Why use Pm Prd Review on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/konglong87/superPM/tree/main/skills/02-solution-design/pm-prd-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pm Prd 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 Prd Review?

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

Is the Pm Prd Review AI skill free?

Yes. It is published on GitHub by konglong87 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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