Does this skill modify my PRD file?

No, it acts as a validator that reads your prd.md and generates a detailed validation report with PASS, WARN, and FAIL statuses for your review.

How does it help with feature sizing?

It analyzes requirements to ensure no single task is too large (e.g., creating more than 4 files), suggesting logical splits for complex features to maintain manageable code quality.

Why should I validate my PRD before using Ralph?

Validating your PRD catches structural issues and vague requirements early, preventing the AI from generating incomplete code or getting stuck in long iteration loops.

What is RLM optimization?

It ensures your documentation uses the headers, dividers, and formatting styles that the Ralph Lifecycle Management framework requires for optimal parsing and task decomposition.

Ralph PRD Validator

Name: Ralph PRD Validator
Author: Was85

byWas85

0•

Productivity & Workflow

Validates Product Requirement Documents for technical completeness, testability, and optimal structure before software development begins.

Ralph PRD Validator is a specialized skill designed to perform pre-flight quality checks on prd.md files within the Ralph RLM framework. It ensures that requirements are decomposed into appropriately sized features, maps out logical dependency ordering, and verifies that every feature includes clear acceptance criteria and test coverage. By catching logical gaps, vague requirements, and structural issues early in the process, this skill significantly reduces iteration cycles and helps the Ralph agent framework produce higher-quality, production-ready code implementation.

Key Features

01Dependency ordering verification to ensure infrastructure and models precede services

020 GitHub stars

03RLM optimization checks to improve document parsing and agent task extraction

04Automated quality checklist for feature completeness and edge case definition

05Validation of test coverage requirements across unit, integration, and E2E layers

06Feature sizing analysis to prevent overly complex or oversized requirement blocks

Use Cases

01Identifying missing error-handling scenarios in technical documentation

02Auditing a PRD for readiness before initiating an automated AI agent workflow

03Refining vague product requirements into specific, verifiable acceptance criteria

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add was85/ralph-rlm-agent-framework ralph

For use in Claude.ai and ChatGPT

Download Skill