chen-prd-skills

chen-prd-skills is a skill for Claude Code, Codex from cyj4578/chen-skillshub. It costs 118 tokens per session (1,163 once invoked), scanned A, original, MIT.

A Chinese-language writing guide and template for product requirements documents, which describe what a product should do and why.

In plain words
What is it for?
Use it to create product requirements, user stories, functional and non-functional requirements, priorities, success measures, plans, dependencies, and risks.
Why use it?
It gives requirements a consistent structure and identifiers so teams can write, review, and track them more clearly.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create product requirements, user stories, functional and non-functional requirements, priorities, success measures, plans, dependencies, and risks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cyj4578/chen-skillshub/chen-prd-skills
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 cyj4578/chen-skillshub --skill chen-prd-skills
Clone the repo
git clone --depth 1 https://github.com/cyj4578/chen-skillshub

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 chen-prd-skills

README.md
[![agentmods](https://agentmods.dev/badge/skills/cyj4578/chen-skillshub/chen-prd-skills/github.svg)](https://agentmods.dev/skills/cyj4578/chen-skillshub/chen-prd-skills)
Your own site
<a href="https://agentmods.dev/skills/cyj4578/chen-skillshub/chen-prd-skills"><img src="https://agentmods.dev/badge/skills/cyj4578/chen-skillshub/chen-prd-skills/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for chen-prd-skills

Your own site · 80×15
<a href="https://agentmods.dev/skills/cyj4578/chen-skillshub/chen-prd-skills"><img src="https://agentmods.dev/badge/skills/cyj4578/chen-skillshub/chen-prd-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,163 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 $0.00118 $0.01163
Opus 5 $0.00059 $0.00581
Sonnet 5 $0.00024 $0.00233
Haiku 4.5 $0.00012 $0.00116

Measured 11d ago against content hash 8dcf07335d95, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

chen-prd-skills 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 11d 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.

chen-prd-skills/SKILL.md · 123 lines

What it actually says

Chen PRD Skills

快速开始

当用户需要编写产品需求文档时,加载此技能并提供完整的PRD模板。

触发关键词PRD产品需求需求文档写需求用户故事功能需求


核心能力

1. PRD 标准结构

每份PRD必须包含以下10个章节:

章节 说明 必需
问题陈述 阐明为什么要做,用数据支撑
目标 3-5个可量化的目标和指标
非目标 明确排除范围,防止蔓延
用户故事 用户视角描述功能价值
需求详情 FR(功能)+ NFR(非功能)
成功指标 领先指标 + 滞后指标
开放问题 待解决事项,标注负责人
时间计划 关键里程碑和交付物
依赖与风险 依赖方 + 风险识别应对
附录 术语表、参考文档等 可选

2. 需求标识规范

类型 格式 示例
用户故事 US-XX US-01, US-02
功能需求 FR-XX FR-01
非功能需求 NFR-XX NFR-01
目标 G-XX G-01
问题 Q-XX Q-01

3. 优先级定义

优先级 定义 交付要求
P0 必须有,核心功能 MVP必交付
P1 应该有,重要功能 本期计划
P2 可以有,优化功能 按资源决定
P3 未来考虑 记录不开发

文档状态

状态 定义
草稿 编写中
待评审 等待评审
评审中 评审进行
已评审 评审通过
已批准 文档冻结
开发中 开发阶段
已上线 全量发布

评审 Checklist

提交评审前必须确认:

  • 文档结构完整,无缺失章节
  • 问题陈述清晰,有数据支撑
  • 目标可衡量,指标明确
  • 非目标明确,防止范围蔓延
  • 用户故事覆盖核心场景
  • 验收标准具体可测试
  • 成功指标可量化、可追踪
  • 开放问题已标注负责人
  • 时间计划合理可行
  • 风险已识别并有应对措施

模板获取

获取空白PRD模板:skill://chen-prd-skills/template

获取完整规范说明:skill://chen-prd-skills/spec


输出格式

生成的PRD必须包含:

  1. 文档封面:标题、编号、版本、作者、日期、状态
  2. 修订历史:版本、日期、作者、变更说明
  3. 10个核心章节:按规范结构填写
  4. 评审信息:评审人、评审日期、通过/修改意见

Skill 联动

本 Skill 可与 chen-te-skills(PRD审查技能)联动使用:

  1. 书写阶段:使用本 Skill 获取模板和书写规范
  2. 自检阶段:使用 chen-te-skills 进行 33 项自查
  3. 评审阶段:基于审查报告修复问题后提交正式评审

详细规范和模板请参见:

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago First seen · 123 lines · 118 tokens per session scan A 8dcf07335d95

Subscribe to this mod's changes

chen-prd-skills is a skill published in the GitHub repository cyj4578/chen-skillshub (11 stars, last pushed 2mo ago), licensed MIT. It adds 118 tokens to every session and 1,163 once invoked, about $0.0006 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens