pm-proto

pm-proto is a skill for Claude Code from konglong87/superPM. It costs 55 tokens per session (4,437 once invoked), scanned A, original, MIT.

A product-prototyping workflow for planning how an application should work and what its screens should contain. It connects product requirements to interface layouts and interactions.

In plain words
What is it for?
Use it to design a whole product, an MVP's main flow, one feature, or improvements to an existing prototype. The instructions are written in Chinese.
Why use it?
It helps turn product plans into a concrete prototype while checking for supporting documents such as a product requirements document.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents; names the AskUserQuestion tool.

Part of the super-pm plugin — 55 skills, 1 hook shipped together

Good fit Use it to design a whole product, an MVP's main flow, one feature, or improvements to an existing prototype. The instructions are written in Chinese.

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Install with agentmods
npx agentmods add skills/konglong87/superpm/pm-proto
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add konglong87/superPM --skill pm-proto
Clone the repo
git clone --depth 1 https://github.com/konglong87/superPM

Made for: Claude Code.

Or install super-pm, the plugin that ships this one along with the rest of its 55 skills, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for pm-proto

README.md
[![agentmods](https://agentmods.dev/badge/skills/konglong87/superpm/pm-proto.svg)](https://agentmods.dev/skills/konglong87/superpm/pm-proto)
Your own site
<a href="https://agentmods.dev/skills/konglong87/superpm/pm-proto"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-proto.svg" alt="Measured on agentmods" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,437 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.04437
Opus 5 $0.00028 $0.02218
Sonnet 5 $0.00011 $0.00887
Haiku 4.5 $0.00006 $0.00444

Measured 7d ago against content hash 5c27a48e2e85, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

pm-proto scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/02-solution-design/pm-proto/SKILL.md · 664 lines

How it starts

The opening of the file, as written. The whole thing — 664 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Preamble (run first)

bash "$(dirname "${BASH_SOURCE[0]}")/../../check-update.sh" 2>/dev/null || true
# 检查方案设计目录
mkdir -p docs/02-方案设计

# 检查前置文档
echo "📊 正在检查前置文档..."

if [ -f "docs/02-方案设计/PRD产品需求文档.md" ]; then
  echo "✅ PRD文档 - 已找到"
else
  echo "⏳ PRD文档 - 未找到"
fi

if [ -f "docs/01-需求调研/MVP方案.md" ]; then
  echo "✅ MVP方案 - 已找到"
else
  echo "⏳ MVP方案 - 未找到"
fi

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。

执行流程

步骤 1: 确定原型设计范围

使用 AskUserQuestion 询问:

您需要设计哪个层面的原型?

A) 整体产品原型(完整产品流程) B) 核心功能原型(MVP核心流程) C) 单个功能模块原型(特定功能) D) 交互优化原型(已有原型的优化) E) 其他(请手动输入)

💡 提示:

  • 新产品从0到1 → 推荐整体产品原型
  • 快速验证 → 推荐核心功能原型
  • 迭代优化 → 推荐单个功能模块原型

记录到变量 PROTO_SCOPE


步骤 2: 读取前置数据

根据原型范围读取相应文档:

必需文档

  • PRD产品需求文档(如果存在)
  • MVP方案(如果存在)
  • 用户旅程地图(如果存在)

读取失败处理

如果 PRD 文档不存在:

⚠️ 未找到 PRD 文档

原型设计通常需要 PRD 作为输入,确保设计符合需求。

您可以选择:
A) 执行 /pm-docs 生成 PRD
B) 使用 MVP 方案作为输入(如果没有 PRD)
C) 手动输入功能需求(快速模式)

是否继续?

步骤 3: 提取关键信息

基于前置文档提取:

从 PRD 提取

  • 功能列表
  • 核心业务流程
  • 交互流程
  • 用户场景
  • 界面要求

从 MVP 方案提取

  • 核心功能集
  • 用户旅程
  • 功能优先级

从用户旅程地图提取

  • 用户操作路径
  • 关键触点
  • 情绪曲线

步骤 4: 设计原型框架

4.1 信息架构设计

使用 AskUserQuestion 询问:

基于功能需求,我整理了以下信息架构:

{展示信息架构树形图}

这个架构是否合理?

A) 架构合理,继续设计页面流程 B) 需要调整架构 C) 我有其他想法(请手动输入)

如果选择 B,引导用户调整架构。

4.2 核心页面识别

AI 分析并列举核心页面:

📱 根据信息架构和用户旅程,识别出以下核心页面:

{页面列表,如:首页、商品列表、商品详情、购物车、订单页等}

是否需要调整?

A) 页面完整,开始设计流程 B) 需要增加页面 C) 需要删除页面 D) 其他调整


步骤 5: 设计页面流程

5.1 核心业务流程梳理

基于用户旅程和功能需求,设计页面跳转流程:

核心业务流程:

用户启动 → 首页 → 浏览商品 → 商品详情 → 加入购物车 → 结算 → 支付 → 订单完成

关键分支流程:
- 未登录用户:触发登录/注册流程
- 库存不足:提示缺货,推荐相似商品
- 支付失败:重试或更换支付方式
5.2 交互流程设计

使用 AskUserQuestion 逐个设计关键交互:

现在设计"{页面名称}"页面的交互流程:

核心功能:

  • {功能1}
  • {功能2}

用户操作路径:

  1. 进入页面的触发方式
  2. 主要操作按钮
  3. 操作后的反馈
  4. 页面跳转逻辑

是否需要特殊交互?

A) 标准交互(常用组件和模式) B) 创新交互(需要设计新组件) C) 参考{竞品名称}的交互方式 D) 其他(请手动输入)

Read the full file on GitHub · 664 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 664 lines · 55 tokens per session scan A 5c27a48e2e85

Subscribe to this mod's changes

pm-proto is a skill published in the GitHub repository konglong87/superPM (61 stars, last pushed 3d ago), licensed MIT. It adds 55 tokens to every session and 4,437 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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