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Agent Skill · 研究检索

prp-generator(prp 生成器)

prp-generator 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

prp-generator 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 55,093。

总安装 490周安装 20GitHub Stars 51下载 157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:prp-generator(prp 生成器)
来源仓库:https://github.com/henkisdabro/wookstar-claude-plugins
仓库路径:skills/prp-generator
安装命令:
npx skills add https://github.com/henkisdabro/wookstar-claude-plugins --skill prp-generator
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/henkisdabro/wookstar-claude-plugins --skill prp-generator

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

prp-generator 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限和维护状态。使用前建议核验具体用法,注意是否会触发联网、命令执行或文件读写操作。

涉及敏感数据时应先确认脱敏边界和操作权限,避免误改生产环境。

来源仓库内路径:skills/prp-generator

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/henkisdabro/wookstar-claude-plugins --skill pr…;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

prp-generator 怎么安装?

在终端执行 npx skills add https://github.com/henkisdabro/wookstar-claude-plugins --skill prp-generato…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

prp-generator 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。

prp-generator 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

prp-generator 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。

prp-generator 用的人多吗?

公开数据是累计安装 490 次,近一周安装 20 次,下载 157 次,GitHub 51 星。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。

prp-generator 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
prp-generator

prp 生成器 · 本页

49051需要联网未明确有提醒

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

PRP Generator

Overview

Generates comprehensive Product Requirement Plans (PRPs) that enable AI agents to implement features in a single pass. Combines systematic codebase analysis with external research to create detailed, context-rich implementation blueprints.

When to Use

  • User requests a PRP, PRD, or detailed implementation plan
  • User asks to "plan out" or "design" a complex feature
  • Beginning significant feature development that benefits from structured planning
  • User provides a feature description file and asks for implementation guidance

Core Principle

Context is Everything: The implementing agent only receives the PRP content, training data knowledge, codebase access, and WebSearch. Your PRP must be self-contained with all necessary context, specific references, and executable validation gates.

Workflow

Phase 1: Understand the Feature

  1. Read the feature request - if a file path is given, read it completely; if verbal, clarify requirements
  2. Clarify ambiguities - use AskUserQuestion for unclear requirements, confirm tech stack, verify integration points
  3. Identify the core problem being solved and acceptance criteria

Phase 2: Codebase Analysis (Mandatory)

Goal: Understand existing patterns, conventions, and integration points.

Systematically analyse the codebase across five dimensions:

AreaWhat to Capture
Similar featuresFile paths, line numbers, code snippets, adaptations needed
ArchitectureDirectory conventions, component organisation, state management, API patterns
Coding conventionsTypeScript usage, component patterns, styling, import ordering, naming
Test patternsFramework, file naming, mock strategies, coverage expectations
ConfigurationDependencies, build setup, path aliases, TypeScript settings

For detailed sub-steps, examples, and documentation templates, see references/codebase-analysis-guide.md.

Also refer to references/research_methodology.md for the full research process.

Phase 3: External Research (Mandatory)

Goal: Find best practices, documentation, examples, and gotchas.

Research across four areas:

AreaKey Actions
Library documentationFind official docs for the SPECIFIC version from package.json; note version-specific gotchas
Implementation examplesSearch GitHub, StackOverflow, official examples; prefer recent, production-grade code
Best practicesSearch "[technology] best practices [current year]"; check OWASP for security
Performance and securityBundle size implications, runtime patterns, vulnerabilities, accessibility

Always document exact URLs, versions, and specific sections. See references/research_methodology.md for detailed guidance.

Phase 4: Ultra-Thinking (Critical)

STOP AND THINK DEEPLY BEFORE WRITING THE PRP.

Analyse integration points, implementation ordering, validation strategy, and context completeness. Verify the PRP will enable one-pass implementation without questions.

For the full set of analysis questions and the quality checklist, see references/quality-assessment.md.

Phase 5: Generate the PRP

Use assets/prp_template.md as the base structure. Populate all sections:

  1. Metadata - feature name, timeline, confidence score (1-10), date
  2. Executive Summary - 2-3 sentences with core value proposition
  3. Research Findings - codebase analysis (file:line refs) and external research (URLs, versions)
  4. Technical Specification - architecture, components, data models, API endpoints
  5. Implementation Blueprint - prerequisites, step-by-step with pseudocode, file changes, error handling, edge cases
  6. Testing Strategy - unit, integration, and manual testing approaches
  7. Validation Gates - must be EXECUTABLE commands (e.g. npm run test && npm run build)
  8. Success Criteria - clear, measurable checklist

Phase 6: Quality Scoring

Score the PRP for one-pass implementation success:

ScoreMeaning
9-10Exceptionally detailed, all context included, clear path, executable gates
7-8Very good, minor gaps, mostly clear implementation path
5-6Adequate, some ambiguity, may require clarification
3-4Incomplete research, missing context, unclear path
1-2Insufficient for implementation

If score is below 7: Go back and improve the PRP before delivering.

Phase 7: Save and Deliver

  1. Save the PRP to PRPs/[feature-name].md (kebab-case, create directory if needed)
  2. Deliver summary to user with: brief feature summary, file location, confidence score with rationale, and next steps

Common Pitfalls

PitfallBadGood
Vague references"There's a similar component somewhere""See UserProfile at src/components/UserProfile.tsx:45-67"
Missing versions"Use React Query""Use @tanstack/react-query v5.28.0"
Non-executable gates"Run tests and make sure they pass"npm run test && npm run build
Generic advice"Follow React best practices""Use named exports (see src/components/Button.tsx:1)"
Incomplete researchSkipping codebase analysisThoroughly document existing patterns
Missing gotchasAssuming smooth implementationDocument known issues and edge cases

Example Usage

User: "Create a PRP for adding dark mode support to the application"

  1. Clarify: "Should dark mode preference persist across sessions? Should it respect system preferences?"
  2. Research codebase for theme-related code
  3. Research external resources (dark mode best practices, library options)
  4. Ultra-think about implementation approach
  5. Generate comprehensive PRP using template
  6. Score the PRP
  7. Save to PRPs/dark-mode-support.md
  8. Deliver summary with confidence score

Resources

ResourceDescription
assets/prp_template.mdBase template for all PRPs
references/research_methodology.mdDetailed research guidance and best practices
references/codebase-analysis-guide.mdDetailed codebase analysis sub-steps and examples
references/quality-assessment.mdUltra-thinking analysis questions and quality checklist

Key Reminders

  • Research is mandatory - never skip codebase or external research
  • Be specific - always include file paths, line numbers, URLs, versions
  • Think deeply - Phase 4 (Ultra-Thinking) is critical for success
  • Validate everything - all validation gates must be executable
  • Score honestly - if confidence is below 7, improve the PRP
  • Context is king - the implementer only has what you put in the PRP

平台分布

Codex

38.53%
按下载量换算60

Claude

28.12%
按下载量换算44

Cursor

19.72%
按下载量换算31

Gemini CLI

10.22%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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