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Agent Skill · 开发

create-prd(创建 PRD)

create-prd 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

create-prd 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 19,628。

总安装 264周安装 11GitHub Stars 公开资料未说明下载 88核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:create-prd(创建 PRD)
来源仓库:https://github.com/emiliosheinz/agent-skills
仓库路径:skills/create-prd
安装命令:
npx skills add https://github.com/emiliosheinz/agent-skills --skill create-prd
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/emiliosheinz/agent-skills --skill create-prd

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

create-prd 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态进行整理。专注于产品需求文档创建的精准化工具。要求输入完整问题空间理解后再开始起草。输出应自包含且无歧义,避免后续追问。

create-prd 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/create-prd

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/emiliosheinz/agent-skills --skill create-prd;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

create-prd 怎么安装?

在终端执行 npx skills add https://github.com/emiliosheinz/agent-skills --skill create-prd。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

create-prd 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

create-prd 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

create-prd 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

create-prd 用的人多吗?

公开数据是累计安装 264 次,近一周安装 11 次,下载 88 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

create-prd 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
create-prd

创建 PRD · 本页

264—只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

PRD Creator

Goal: produce a PRD that is precise, self-contained, and unambiguous. A reader should know exactly what to build and why without asking follow-up questions.

Routing

  • Decision still needs alignment → /create-rfc
  • Record a finalized decision → /create-adr
  • Document architecture → /create-technical-design
  • Plan execution → /create-implementation-plan

Process

Step 1 — Gather context

Do not draft anything yet.

Through an open-ended conversation, develop a complete understanding of the problem space before proceeding. The conversation should cover:

  • Define the core problem from the user’s perspective, including the specific pain points it addresses and the consequences of leaving it unsolved.
  • Identify all target users, including primary, secondary, and edge-case personas, and clearly differentiate their goals, constraints, and behaviors.
  • Specify the measurable outcomes (quantitative and/or qualitative) that indicate the solution is successful post-implementation.
  • Establish clear scope boundaries: what is included, what is explicitly excluded, and what is intentionally deferred, with justification for each.
  • Document hard constraints (technical, legal, operational) and key assumptions; explicitly call out which assumptions would invalidate the solution if proven false.
  • Enumerate all distinct user types and map each to their specific needs, use cases, and expected interactions with the system.
  • Define behavior across edge conditions, including empty states, error states, onboarding/first-time use, and advanced/power-user scenarios.
  • Clarify prioritization by distinguishing must-have requirements from nice-to-have enhancements, including the rationale behind each classification.
  • Identify adjacent problem areas or extensions that are intentionally not addressed, and explain why they are out of scope for this iteration.
  • Articulate clear failure conditions: what specific outcomes, gaps, or user/stakeholder reactions would indicate the solution was incorrectly designed or implemented.

How to conduct the interview:

  • Ask focused questions. Group related questions together when it makes sense, but avoid overwhelming the user with too many at once.
  • When an answer opens a new branch (edge case, persona variation, scope boundary), follow it to resolution before continuing.
  • When a decision depends on a prior unresolved decision, surface the dependency and resolve the blocker first.
  • Push back on vague answers. "It depends" is not an answer — ask what it depends on, then ask about each case.
  • Keep going until you can state the full scope, requirements, and success criteria without needing to invent anything yourself.

Additional rules for the interview:

  • Do not proceed until you can state all of the above without inventing anything.
  • If the user cannot answer a question, record it as an open question in the PRD — do not invent an answer.
  • When asking questions, use dedicated tools (e.g. AskUserQuestion) to present them clearly and consistently to the user.

Before moving to Step 2, verify internally that you can answer all of the following without inventing anything:

  • What is the core problem from the user's perspective?
  • Who are the users and what does each need?
  • What does success look like, measurably?
  • What is explicitly out of scope, and why?
  • What are the hard constraints?

If any cannot be answered from what the user has said, continue the interview.

Step 2 — Draft using the template

Follow the template below. Every section is required. Write "None." for sections with no content — do not omit them.

File location: Create the PRD to .specs/[feature-slug]/PRODUCT-REQUIREMENTS.md. Derive the slug from the feature name: lowercase, words separated by hyphens (e.g. user-onboarding, payment-refunds). Create the directory if it does not exist. This keeps the PRD co-located with related documents (plans, specs) that will be added later for the same initiative.

Step 3 — Review with the user

Present the draft. Ask:

  • Are all non-goals captured?
  • Is there anything missing or incorrect?
  • Are the success criteria measurable as stated?

If the feedback surfaces new information, gaps, or contradictions, return to Step 1 and continue the interview before updating the draft. Repeat steps 1–3 until the PRD is complete and accurate.

Once the PRD is finalized, offer the natural next step:

PRD created at .specs/[feature-slug]/PRODUCT-REQUIREMENTS.md

Suggested next steps:
- Run /create-technical-design to define the architecture
- Run /create-rfc if a significant decision still needs alignment
- Run /create-implementation-plan to jump straight to execution planning (skips technical design)

PRD Template

# [Feature or Product Name]

## Overview

3–5 sentences covering: what this is, the core problem it solves, and who it's for.
Do not describe implementation or internal mechanics.

## Problem Statement

**Problem:** Describe the gap between the current state and the desired state, from the user's perspective.

**Affected users:** Who has this problem? Be specific about role, context, and frequency.

**Impact:** What happens if this problem is not solved? Use data or evidence where available.

## Target Users

| User | Context | Primary Need |
|------|---------|--------------|
| [User type] | [When/where they encounter this] | [What they need to accomplish] |

Add one row per distinct user type. If the same user appears in multiple contexts, add a row for each.

## Goals & Success Criteria

2–5 entries maximum. Each must be falsifiable — something that can be verified as true or false after shipping.

| Goal | Success Criterion | How to Measure |
|------|------------------|----------------|
| [Goal] | [Specific, observable outcome] | [Metric or verification method] |

Reject vague criteria: "users are happy", "performance improves", "adoption grows". Write instead: "task completion rate ≥ 85%", "support tickets for X decrease by 30% within 60 days of launch".

## Scope

### In Scope

Discrete, verifiable capabilities this PRD covers.

- [Capability]

### Non-Goals

What this PRD explicitly does not address. If a reader could reasonably assume something is in scope, it must appear here with a reason.

- [Topic] — [why it's excluded]

## Requirements

Functional requirements only — what the system must do, not how it does it.

**Priority labels:**
- **P0** — launch blocker; must ship
- **P1** — high value; should ship
- **P2** — nice to have; revisit later

Group by user or workflow where it aids clarity.

### [Group name]

- **[P0|P1|P2]** `[PREFIX-NNN]` The system must/should [verb] [object] [condition or outcome].

**Rules for writing requirements:**
- Use "must" for P0 and P1; use "should" for P2.
- One requirement per bullet — no AND; split compound requirements.
- Each requirement is independently verifiable as pass/fail.
- No implementation details: no tech stack, no data store names, no protocol choices.
- State the user outcome, not the internal mechanism.
- Requirement IDs use a prefix derived from the feature slug, uppercased and shortened to 3–5 characters (e.g. feature `user-onboarding` → prefix `ONBD`; `payment-refunds` → `PAY`). IDs are sequential within the PRD: `ONBD-01`, `ONBD-02`.

## Constraints & Assumptions

### Constraints

Hard limits that bound the solution. Non-negotiable.

- [Constraint]: [explanation]

### Assumptions

Things treated as true for this PRD. If an assumption is invalidated, the PRD must be revisited.

- [Assumption]: [what we believe and why]

## Open Questions

Unresolved questions that must be answered before or during implementation.

| Question | Why It Matters | Owner | Status |
|----------|---------------|-------|--------|
| [Question] | [Impact if unresolved] | [Person or team] | Open / Resolved |

Write "None." if there are no open questions.

## Additional Notes

Any relevant information that doesn't fit in the above sections but is important for context or future reference.

Heuristics

Include if any of the following are true

  • It would change what gets built or how it is prioritized.
  • Reasonable people could interpret it differently without explicit guidance.
  • It defines a boundary between what is in scope and what is not.
  • It is a constraint that eliminates valid solution approaches.
  • It is an assumption that, if false, would invalidate the PRD.

Exclude if any of the following are true

  • It describes *how* to build something: architecture, tech stack, data models, API contracts, code.
  • It can only be determined after implementation begins.
  • It is a timeline, milestone, headcount, or team assignment.
  • It requires a domain specialist to interpret — link to a separate spec instead.
  • It duplicates content already present in another section.

Requirement quality checklist

Before finalizing requirements, verify each one:

  • Verifiable as pass/fail independently
  • Does not contain "and" (split if so)
  • Does not name a specific implementation technology
  • States user outcome, not internal mechanism
  • Priority label (P0/P1/P2) assigned

Scope quality checklist

  • Every non-goal includes a reason for exclusion
  • Non-goals cover anything a reader might reasonably assume is in scope
  • In-scope items are discrete and independently verifiable

Common Mistakes

Writing a solution as the problem Wrong: "We need a dashboard for order status." Right: "Customers cannot determine the current status of their orders without contacting support."

Vague success criteria Wrong: "Improve user engagement." Right: "30-day active user retention increases from 42% to 55%."

Requirements that embed implementation Wrong: "The system must store user preferences in a Redis cache." Right: "The system must persist user preferences across sessions."

Missing non-goals that readers will assume If you are building order tracking but not order editing, "order editing" must appear in non-goals — not just be absent from the in-scope list.

Conflating constraints with requirements A constraint limits *how* you can solve the problem ("must comply with GDPR"). A requirement defines *what* the system must do ("must allow users to delete their account data"). Keep them separate.

平台分布

Codex

32.85%
按下载量换算29

Claude

30.25%
按下载量换算27

Cursor

18.6%
按下载量换算16

Gemini CLI

8.98%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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