prp-generator
Generate comprehensive Product Requirement Plans (PRPs) for feature implementation with thorough codebase analysis and external research. Use when the user requests a PRP, PRD, or detailed implementation plan for a new feature. Conducts systematic research, identifies patterns, a
供给资产档案
研究与知识工作
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
场景
研究 Agent
I need my agent to research a topic, compare sources, and produce a concise report.
适配 Agent
Claude Code + CLI + Codex
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add henkisdabro/wookstar-claude-plugins --skill prp-generator
维护状态
新鲜
距上次推送 1 天
风险
需审查
Financial research output is not financial advice; require human review before any live investment decision
GitHub 质量
83
66/100 质量 · 77/100 信任
覆盖标签
审查说明
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
有潜力有用的候选项,但采用前应与替代方案比较。
信任
仅限沙盒有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
审计
需审查对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
安装前需人工审查
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
Stars
83 个 GitHub Stars
仓库活跃度
83 个 Star,11 个 Fork
维护状态
距上次推送 1 天
许可证
MIT
安装
npx skills add henkisdabro/wookstar-claude-plugins --skill prp-generator
安装安全性
标准软件包或运行时安装路径
权限范围
filesystem or document access, network or browser access
Agent 结果
暂未有 Agent 结果数据
文档
README/SKILL.md 上下文充分
风险摘要
生产前审查
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- GitHub adoption: 83 GitHub stars
- Stars/forks activity: 83 stars, 11 forks; issue activity unavailable in current metadata
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 已声明许可证
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- 研究 Agent 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- 检索来源
适用 Agent
安装决策
- 命令
- npx skills add henkisdabro/wookstar-claude-plugins --skill prp-generator
- 策略
- 审查
- 人工审查
- 是
信任与风险
- 信任
- 69/100
- 审计
- 80/100
- 风险级别
- 需审查
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
不适用场景
- 需要厂商支持 SLA 的团队
- 没有内部安全审查的高合规环境
- 当前元数据中未发现重大风险信号
- Financial research output is not financial advice; require human review before any live investment decision
- Financial research output is not financial advice; require human review before any live investment decision.
替代 Skill
Last30days Skill
53.5K Stars
npx skills add mvanhorn/last30days-skill -g
替代 Skill
Academic Research Skills
38.4K Stars
npx skills add Imbad0202/academic-research-skills
替代 Skill
GPT Researcher
28.0K Stars
npx skills add assafelovic/gpt-researcher
替代 Skill
DeepResearch
19.8K Stars
npx skills add Alibaba-NLP/DeepResearch
Agent 安全 v2
60/100 · 安装前审查
可用候选,但 Agent 在安装前应展示权限与审计说明。
在真实工作区安装前需要人工批准。
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
文件系统访问
Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。
中
数据库访问
Skill 可能检查 Schema、查询数据库或处理持久化存储。
- Financial research output is not financial advice; require human review before any live investment decision
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install henkisdabro-prp-generatorAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20prp-generator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20prp-generator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/henkisdabro-prp-generator/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use prp-generator in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20prp-generator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/henkisdabro-prp-generator/install
Install command: npx skills add henkisdabro/wookstar-claude-plugins --skill prp-generator
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/henkisdabro-prp-generator/install
LLM 文本格式
/api/skills/henkisdabro-prp-generator/install?format=text
寻找替代方案
/api/skills/search?q=prp-generator&limit=3
Agent 提示词
Use prp-generator for this task. Review https://www.openagentskill.com/api/skills/henkisdabro-prp-generator/install, then install with: npx skills add henkisdabro/wookstar-claude-plugins --skill prp-generatorRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Agent 决策面板
Fallback candidate for Research agents
先用此 Skill 做原型验证,并保留备选方案。
栈中角色
备选候选
主要匹配
研究 Agent
信任标签
先做原型验证
安装路径
命令已就绪
适用场景
- 研究 Agent 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
证据
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 66/100 质量档案
- 5 个 OpenAgentSkill 交互事件
先审查
- 当前元数据中未发现重大风险信号
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次研究 Agent任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
仅限沙盒
有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
GitHub 采用度
检查83 个 GitHub Stars
Star/Fork 活跃度
检查83 个 Star,11 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过距上次推送 1 天
许可证清晰度
通过MIT
积极信号
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- GitHub adoption: 83 GitHub stars
- Stars/forks activity: 83 stars, 11 forks; issue activity unavailable in current metadata
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
质量档案
有潜力 适用于 Agent 工作流的候选
有用的候选项,但采用前应与替代方案比较。
工作流匹配
在这些场景使用此 Skill
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
工作流匹配
加入完整工作流
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
概览
--- name: prp-generator description: Generate comprehensive Product Requirement Plans (PRPs) for feature implementation with thorough codebase analysis and external research. Use when the user requests a PRP, PRD, or detailed implementation plan for a new feature. Conducts systematic research, identifies patterns, and creates executable validation gates for one-pass implementation success. Do NOT use for client discovery, requirements gathering, or scope definition - those need a separate clarification pass before the PRP step. ---
# 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:
| Area | What to Capture | |------|----------------| | Similar features | File paths, line numbers, code snippets, adaptations needed | | Architecture | Directory conventions, component organisation, state management, API patterns | | Coding conventions | TypeScript usage, component patterns, styling, import ordering, naming | | Test patterns | Framework, file naming, mock strategies, coverage expectations | | Configuration | Dependencies, build setup, path aliases, TypeScript settings |
For detailed sub-steps, examples, and documentation templates, see [references/codebase-analysis-guide.md](references/codebase-analysis-guide.md).
Also refer to [references/research_methodology.md](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:
| Area | Key Actions | |------|------------| | Library documentation | Find official docs for the SPECIFIC version from package.json; note version-specific gotchas | | Implementation examples | Search GitHub, StackOverflow, official examples; prefer recent, production-grade code | | Best practices | Search "[technology] best practices [current year]"; check OWASP for security | | Performance and security | Bundle size implications, runtime patterns, vulnerabilities, accessibility |
Always document exact URLs, versions, and specific sections. See [references/research_methodology.md](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](references/quality-assessment.md).
### Phase 5: Generate the PRP
Use [assets/prp_template.md](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:
| Score | Meaning | |-------|---------| | 9-10 | Exceptionally detailed, all context included, clear path, executable gates | | 7-8 | Very good, minor gaps, mostly clear implementation path | | 5-6 | Adequate, some ambiguity, may require clarification | | 3-4 | Incomplete research, missing context, unclear path | | 1-2 | Insufficient 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
| Pitfall | Bad | Good | |---------|-----|------| | 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 research | Skipping codebase analysis | Thoroughly document existing patterns | | Missing gotchas | Assuming smooth implementation | Document 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
| Resource | Description | |----------|------------| | [assets/prp_template.md](assets/prp_template.md) | Base template for all PRPs | | [references/research_methodology.md](references/research_methodology.md) | Detailed research guidance and best practices | | [references/codebase-analysis-guide.md](references/codebase-analysis-guide.md) | Detailed codebase analysis sub-steps and examples | | [references/quality-assessment.md](references/quality-assessment.md) | Ultra-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
技术详情
- 版本
- 1.0.0
- 许可证
- MIT
- 最近更新
- 2026年8月21日
- 发布时间
- 2026年8月21日
决策摘要
备选候选
仓库近期活跃
Agent 验证证据
Agent 验证证据
来自解析、审查、安装和一次小范围运行后的结果报告。
- 成功率
- —
- 近期失败
- —
- 结果
- 0
- 输出质量
- —
- 失败
- 0
- 不相关
- 0
- 安装次数
- 0
- 风险拦截
- 0
- 需要配置
- 0
- 生产环境
- 0
暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。
增长闭环
分享工具包
为 prp-generator 准备的场景化草稿,可手动发布到 X。
prp-generator: Generate comprehensive Product Requirement Plans (PRPs) for feature implementation with thoro... 83 stars https://www.openagentskill.com/skills/henkisdabro-prp-generator?ref=x
可选:带安装命令的回复
Listing + install path for prp-generator: https://www.openagentskill.com/skills/henkisdabro-prp-generator?ref=x Install: npx skills add henkisdabro/wookstar-claude-plugins --skill prp-generator
收录来源
Registry 收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 创作者
- henkisdabro
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
认领此 Skill所有者认领
认领此 Skill 页面
这条 Registry 收录 列表归属于 henkisdabro,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
创作者外链工具包
将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/henkisdabro-prp-generator)
[](https://www.openagentskill.com/skills/henkisdabro-prp-generator)
[](https://www.openagentskill.com/skills/henkisdabro-prp-generator/audit)
[](https://www.openagentskill.com/skills/henkisdabro-prp-generator)作者
henkisdabro
@henkisdabro
平台适配
健康信号
- GitHub Stars
- 83
- 质量评分
- 37/100
- 最近 GitHub 推送
- 2026年8月21日
- 框架提示
- 未知
- OpenAgentSkill 浏览量
- 5
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
仅限沙盒
- GitHub 采用度83 个 GitHub Stars检查
- Star/Fork 活跃度83 个 Star,11 个 Fork; 当前元数据中没有议题活跃度信息检查
- 近期维护距上次推送 1 天通过
- 许可证清晰度MIT通过
- README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
- 依赖与运行时风险network or browser surface通过
相关 Skill
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