Does the PRP Generator analyze my existing code?

Yes, it performs mandatory codebase analysis to identify your project's specific coding styles, directory structures, and testing patterns to ensure new features are consistent with your existing architecture.

What is a PRP in the context of this skill?

A Product Requirement Plan (PRP) is a highly detailed, actionable document that combines feature requirements with deep technical analysis to guide a successful, single-pass code implementation.

Can it research external libraries?

Absolutely. The skill conducts external research to find official documentation, best practices, and known issues for the specific versions of libraries found in your package configuration.

How does this help AI agents implement features?

It provides the agent with all necessary context, specific file references, and validation steps in one document, reducing errors and the need for the agent to ask clarifying questions during the build phase.

What are the validation gates included in the plan?

Validation gates are real, executable CLI commands (like npm run test or lint) that are integrated into the implementation plan to verify that each step has been completed correctly.

PRP Generator

Name: PRP Generator
Author: henkisdabro

byhenkisdabro

•

生産性とワークフロー

Generates detailed Product Requirement Plans (PRPs) that enable high-success, one-pass feature implementation through deep codebase analysis and research.

概要

The PRP Generator is a sophisticated planning skill designed to bridge the gap between initial feature requests and successful technical implementation. It systematically analyzes your existing codebase to identify architectural patterns and coding conventions while conducting external research on library documentation and industry best practices. By producing self-contained, context-rich implementation blueprints complete with executable validation gates, it ensures that AI agents or human developers can execute complex feature developments with minimal back-and-forth and a high first-time success rate.

主な機能

Executable validation gates using CLI commands to verify implementation success
Self-contained implementation blueprints with file-by-file changes and pseudocode
14 GitHub stars
Internal quality scoring system to ensure plan completeness and technical accuracy
Deep codebase analysis identifying existing architectural patterns and coding conventions
Automated external research for library documentation and version-specific gotchas

ユースケース

Standardizing implementation paths for AI agents to ensure one-pass development success
Creating detailed technical specifications (PRDs) from brief verbal descriptions or feature files
Planning complex new features that require integration with existing state management or UI patterns

概要

主な機能

Executable validation gates using CLI commands to verify implementation success
Self-contained implementation blueprints with file-by-file changes and pseudocode
14 GitHub stars
Internal quality scoring system to ensure plan completeness and technical accuracy
Deep codebase analysis identifying existing architectural patterns and coding conventions
Automated external research for library documentation and version-specific gotchas

ユースケース

Standardizing implementation paths for AI agents to ensure one-pass development success
Creating detailed technical specifications (PRDs) from brief verbal descriptions or feature files
Planning complex new features that require integration with existing state management or UI patterns