prd-create

prd-create is a skill for Claude Code, Codex from rootsli/claude-quickstart-cn. It costs 17 tokens per session (1,629 once invoked), scanned A, original, CC0-1.0.

A five-stage process for turning a product idea into a PRD, or Product Requirements Document—a written plan describing what to build and why. It conducts the process in simplified Chinese and asks questions stage by stage.

In plain words
What is it for?
Use it to clarify a product concept, define core features and users, assess market viability, analyze competing products, and produce a PRD.
Why use it?
It helps turn an unclear idea into a structured product plan while checking its business feasibility and comparing competitors.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/rootsli/claude-quickstart-cn/prd-create
Any agent
npx skills add rootsli/claude-quickstart-cn --skill prd-create
Clone the repo
git clone --depth 1 https://github.com/rootsli/claude-quickstart-cn

Made for: Claude Code, Codex.

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 prd-create

README.md
[![agentmods](https://agentmods.dev/badge/skills/rootsli/claude-quickstart-cn/prd-create.svg)](https://agentmods.dev/skills/rootsli/claude-quickstart-cn/prd-create)
Your own site
<a href="https://agentmods.dev/skills/rootsli/claude-quickstart-cn/prd-create"><img src="https://agentmods.dev/badge/skills/rootsli/claude-quickstart-cn/prd-create.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,629 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00017 $0.01629
Opus 5 $0.00009 $0.00814
Sonnet 5 $0.00003 $0.00326
Haiku 4.5 $0.00002 $0.00163

Measured 5d ago against content hash 9e1b434f294e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

prd-create 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 5d 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.

.claude/skills/prd-create/SKILL.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PRD 生成能力

把创意、产品概念整理为标准化 PRD(Product Requirements Document,产品需求文档)。 按五个阶段和用户对话收集信息,最终生成完整可用的 PRD 文档。

执行规则

  • 严格按阶段顺序执行,禁止跳过任一阶段。
  • 每个阶段所需信息,通过向用户提问来收集。
  • 用户表示不清楚时,给出合理默认方案并确认。
  • 所有对话回复均使用简体中文。

阶段 1:想法具象化

按顺序向用户提出以下 4 个必答问题。 不要一次性全部抛出,像自然对话一样逐个询问。

必问问题

序号 问题 目的
1 要做一款什么产品 / 服务? 明确产品定位与核心形态
2 三大核心功能是什么? 划定 MVP 最小可行产品范围
3 目标用户是谁? 定义精准受众人群
4 为什么需要这款产品? 梳理用户痛点与差异化依据

可选补充问题(用户想进一步细化时)

  • 和同类产品相比有什么差异化优势?
  • 盈利模式打算怎么做?(订阅 / 广告 / 一次性付费)
  • 预计什么时候上线?

本阶段输出

整理问答内容生成一页创意摘要展示给用户。 用户确认无误后,进入阶段 2。


阶段 2:商业可行性评估

立项判定 Go/No-Go

基于收集到的信息,从 5 个维度按 1–5 分 进行打分评估。

项目 标准
市场规模 潜在用户体量是否充足
成长性 所属市场是否处于增长趋势
竞争强度 现有竞品数量少或竞争力偏弱
差异化 是否具备清晰独特的产品亮点
盈利模式 是否具备可持续的商业化变现路径

判断标准:

  • 总分 20 分及以上:立项推进(Go)
  • 总分 15–19 分:有条件立项(补齐短板后推进)
  • 总分 14 分及以下:放弃立项(考虑转型或终止)

竞品分析

选取 3 款主流同类产品进行对比梳理。

| 产品名称 | 优势 | 劣势 | 我方差异化亮点 |
|--------|------|------|-------------|
| 竞品A  |      |      |             |
| 竞品B  |      |      |             |
| 竞品C  |      |      |             |

本阶段输出

向用户展示立项判定结果与竞品分析表格。

  • 判定通过:直接进入阶段 3
  • 有条件立项:讨论短板优化方案后继续
  • 不予立项:给出产品转型方向建议,交由用户决策

阶段 3:技术调研

技术栈选型

列出各领域可选技术方案,和用户共同确定最终选型。

技术领域 主流可选方案
前端 Next.js / React Native / Flutter
后端 Node.js / Python / Go
数据库 PostgreSQL / MongoDB / Supabase
身份认证 NextAuth / Supabase Auth / Firebase Auth
部署 Vercel / AWS / Railway

根据用户技术水平推荐适配方案:

  • 新手:Next.js + Supabase + Vercel(一体化方案、配置极简)
  • 中级:Next.js + PostgreSQL + Vercel(兼顾灵活性与开发效率)
  • 资深:按个人技术偏好自由组合搭配

参考资料收集

  • 推荐在 GitHub 检索同类开源项目参考
  • 提供设计参考网站(Dribbble、Mobbin)
  • 整理项目所需第三方外部 API 清单

本阶段输出

生成最终技术栈选型表,交由用户确认。


阶段 4:生成 PRD 文档

将阶段 1~阶段 3 收集的信息,整理为以下 10 个标准章节,生成完整 PRD。

序号 章节 内容说明
1 产品概述 一句话产品介绍 + 核心价值定位
2 开发背景 产品解决的行业痛点与开发必要性
3 商业分析 市场规模、竞品分析、盈利模式规划
4 核心功能 功能列表 + 优先级划分(P0/P1/P2)
5 非功能性需求 性能指标、安全规范、可用性标准
6 业务范围 MVP 最小范围 vs 完整版范围、包含 / 不含功能界定
7 约束条件 技术限制、时间周期、预算成本约束
8 技术调研 汇总阶段 3 所有技术调研结果
9 设计参考 参考设计风格、UI 页面参考截图
10 技术栈 最终选定技术栈及选型理由

Read the full file on GitHub · 178 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. 5d ago First seen · 178 lines · 17 tokens per session scan A 9e1b434f294e

Subscribe to this mod's changes

prd-create is a skill published in the GitHub repository rootsli/claude-quickstart-cn (10 stars, last pushed 1mo ago), licensed CC0-1.0. It adds 17 tokens to every session and 1,629 once invoked, about $0.0001 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 2026-08-31.

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