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Agent Skill · 开发

prd(珠三角)

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。

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 18,134。

总安装 356周安装 15GitHub Stars 公开资料未说明下载 125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:prd(珠三角)
来源仓库:https://github.com/kelvinz/cobb
仓库路径:skills/prd
安装命令:
npx skills add https://github.com/kelvinz/cobb --skill 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/kelvinz/cobb --skill 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。

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、代码变更或协作事项进行整理。适用于需要跟踪和管理代码协作流程的场景。

通过 npx skills add 命令从指定 GitHub 仓库安装使用。安装前需确认权限范围、维护状态及是否涉及联网或文件操作。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/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/kelvinz/cobb --skill 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

prd 怎么安装?

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

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。

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。

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。

prd 用的人多吗?

公开数据是累计安装 356 次,近一周安装 15 次,下载 125 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。

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
prd

珠三角 · 本页

356—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

Create, update, or list PRDs. Each PRD is a self-contained feature spec with status and priority.


Guardrails

  • Do not implement code.
  • Keep features "PRD-sized": one feature = one PRD.
  • Split the feature if it spans >2 subsystems, >1 UI surface + backend, or >~1 day of work.
  • Prefer asking a small number of high-value questions; otherwise write a draft PRD with explicit assumptions.
  • Write the PRD so a junior dev (or another AI) can implement it without extra context.
  • Use plain language, explicit edge cases, and verifiable acceptance criteria.
  • Do not use Markdown tables (use checklists + bullets).
  • When asking users for decisions, always provide numbered options with low-keystroke reply formats.
  • Treat context capture as built-in.
  • If durable decisions are made, update tasks/context.md in this step.
  • Do not defer to a separate context pass.

Modes

  • Create / update (default): write or revise a single PRD.
  • List: scan tasks/ for active (non-archived) PRDs and display a summary of feature ID, name, status, and priority. No file modifications.

Workflow — Create / Update

  1. Determine intent:

- New project (no tasks/context.md or empty): ask project-definition questions, initialise tasks/context.md with project gist, then write the first PRD. - New PRD (project exists): proceed to PRD creation. - Update existing PRD: locate the existing PRD file and edit in place.

  1. Read context:

- If tasks/context.md exists, skim project gist, key decisions, and notes/gotchas. - Avoid conflicts with prior decisions.

  1. Assign feature ID:

- Scan existing PRD files in tasks/ and tasks/archive/ for the highest f-## number. - New PRD gets (max existing f-##) + 1. - For updates, preserve the existing ID.

  1. Ask clarifying questions only when needed (numbered A/B/C/D options, up to ~7, answerable like 1A, 2C).
  2. Determine PRD file path:

- Look for an existing active PRD matching the feature ID in tasks/ (tasks/f-##-*.md). - If found, use it (update in place). - Otherwise use tasks/f-##-<feature-slug>.md.

  1. Write or update the PRD at the chosen path using references/prd-template.md:

- Set Status: and Priority: in the Summary section. - For new PRDs, default Status: draft. Prompt the user to confirm ready when scope is locked. - Priority: uses P0 (critical), P1 (high), P2 (medium), P3 (low). - Ensure implementation progress is trackable via checklist items. - For UI/UX-heavy features, include expected design inputs and state whether design should run before implement.

  1. Update context:

- Update project gist in tasks/context.md if this is the first PRD or project scope changed. - Capture any durable decisions or constraints.

  1. Reply with updated file paths and a short change summary.

Workflow — List

  1. Scan tasks/ for files matching f-##-*.md (exclude tasks/archive/).
  2. For each file, extract from the Summary section: Feature ID, name, Type, Status, Priority.
  3. Display sorted by priority (P0 first), then by feature ID.
  4. Suggest the highest-priority Status: ready PRD as the next candidate for implement.
  5. No file modifications in list mode.

Clarifying Questions (Only If Needed)

Ask up to ~7 high-value questions. Keep them answerable via 1A, 2C, 3B.

Focus on ambiguity around:

  • target user + primary use case
  • the problem + desired outcome
  • constraints (platforms, timeline, integrations)
  • success metrics / how we know it worked
  • scope boundaries (what's explicitly in vs out)
  • whether this is Type: feat vs fix vs chore
  • priority (P0 / P1 / P2 / P3)
  • dependencies between features (by ID)

Example question format

1. What are we building?
   A. A brand new feature
   B. A fix for existing behaviour
   C. A maintenance/chore item
   D. Other: [describe]

Feature Writing Guidelines

  • Prefer feature names as verb phrases (e.g., "Invite teammates", "Export CSV").
  • For fix items, name them clearly (e.g., "Fix ") and set Type: fix. Include minimal bug info:

- Current behaviour: … - Expected behaviour: … - Repro steps (if known): …

  • For chores, keep them crisp and outcome-oriented (e.g., "Chore: remove dead code") and set Type: chore.
  • Ensure each feature has a crisp outcome (what changes for the user).
  • Avoid implementation tasks ("refactor", "set up DB") unless they are truly user-facing requirements.
  • If a feature is too large, split by user goal or workflow step until each item could reasonably become a single PRD.

Update Rules (When a PRD Exists)

  • If a PRD already exists at that path, update it in place.
  • Do not create a duplicate PRD unless the user asks.
  • Do not reset existing checklist items inside the PRD.
  • Preserve existing Status: and Priority: unless the user explicitly asks to change them.
  • Keep feature IDs stable; IDs must be globally unique across tasks/ and tasks/archive/.
  • When adding a new feature, use the next ID as (max existing f-##) + 1 (never reuse old IDs).

PRD Template

Use references/prd-template.md as the default PRD template and checklist.

  • Read it before drafting a new PRD.
  • For updates to an existing PRD, edit only impacted sections and preserve existing checkbox state.
  • Keep acceptance criteria concrete and verifiable; examples are in the reference file.

Output

  • Create or reuse tasks/.
  • Save/update the PRD at the chosen path.
  • Update tasks/context.md when durable decisions or project scope changes warrant it.
  • For UI/UX-heavy PRDs, recommend design (optional) before implement.
  • Suggest the next action:

- If Status: draft, suggest refining to ready. - If Status: ready, suggest implement.

  • End with a short status block:

- Files changed: list of created/updated files - Key decisions: any assumptions or choices made (if any) - Next step: recommended next skill or action


Quality Checklist

Before saving:

  • PRD Summary includes Feature ID, Type, Status, and Priority.
  • Feature ID is unique and stable (checked against existing PRDs in tasks/ and tasks/archive/).
  • If updating an existing PRD, existing story/task checkboxes were preserved (not reset).
  • If a PRD already existed, it was updated in place (no duplicates).
  • Each feature has a user-visible outcome and explicit scope boundaries (goals + non-goals).
  • Dependencies reference valid feature IDs.
  • Acceptance criteria are concrete and verifiable.
  • PRD is consistent with tasks/context.md (or tasks/context.md was updated in this run).

平台分布

Codex

33.12%
按下载量换算41

Claude

29.6%
按下载量换算37

Cursor

19.24%
按下载量换算24

Gemini CLI

9.56%
按下载量换算12

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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