prp-generator

Generate Product Requirement Plans with validation gates from codebase analysis and research.

77|9|Updated Oct 10, 2025
One-click install
npx skills add https://github.com/henkisdabro/claudecode-marketplace --skill prp-generator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prp-generator
Source: https://github.com/henkisdabro/claudecode-marketplace/tree/main/skills/prp-generator
Command: npx skills add https://github.com/henkisdabro/claudecode-marketplace --skill prp-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) and references (resource) components.

What problem does it solve?

Creating detailed Product Requirement Plans (PRPs) that lead to successful, one-pass feature implementation is a complex, research-intensive task. This skill automates the systematic analysis of codebases and external resources to generate comprehensive, executable PRPs.

Core Features & Use Cases

  • Systematic Research: Conducts thorough codebase analysis and external research to gather all necessary context.
  • Executable Validation Gates: Defines clear, runnable commands to verify implementation success at each stage.
  • Comprehensive Blueprint: Generates a detailed PRP covering architecture, implementation steps, testing, and edge cases.
  • Use Case: A product manager needs a detailed plan for a new user authentication feature. This skill can analyze the existing codebase, research best practices for authentication, and generate a PRP that guides a developer through implementation with minimal back-and-forth.

Quick Start

Generate a Product Requirement Plan for adding a 'dark mode toggle' feature to the application.

Frequently Asked Questions about prp-generator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a comprehensive Product Requirement Plan for feature implementation?

A Product Requirement Plan (PRP) is a detailed specification document that guides feature implementation from design through rollout. This Skill generates PRPs by analyzing your codebase and researching best practices, producing executable validation gates, architectural patterns, testing strategies, and rollout guidance to enable one-pass implementation with minimal revision cycles.

What should a PRP include to ensure successful feature delivery?

A complete PRP includes architecture decisions, step-by-step implementation instructions, explicit validation gates with runnable commands, comprehensive testing strategies covering edge cases, rollout guidance, and references to external resources and codebase patterns. This Skill generates all these components systematically to minimize back-and-forth between product and engineering teams.

Can I use PRPs for documentation and research-driven feature planning?

Yes. PRPs combine systematic codebase analysis with external research to produce self-contained, executable plans. This approach works for feature development, requirements gathering, and product planning workflows where thorough documentation and validation gates reduce implementation uncertainty and rework.

What's the difference between a PRP and a traditional PRD?

A PRD typically focuses on requirements and user outcomes. A PRP extends that with technical implementation details: codebase analysis, validation gates, architectural patterns, testing strategies, and rollout steps. This Skill generates PRPs specifically to bridge requirements and engineering execution in a single, actionable document.

Do I need existing codebase context to generate an effective PRP?

Yes. This Skill performs thorough codebase analysis to understand your architecture, dependencies, and existing patterns before generating the PRP. Having your project structure available enables more precise validation gates, architectural recommendations, and implementation guidance tailored to your specific stack.

How do validation gates in a PRP reduce implementation risk?

Validation gates are executable commands defined at each implementation stage to verify correctness before proceeding. By specifying these upfront in the PRP—rather than discovering issues late—teams can catch architectural misalignment, integration failures, and edge cases early, enabling truly one-pass feature delivery.