Ralph Method Planning & Specs

About

The Ralph Method skill implements the first two phases of the Ralph Wiggum methodology, a rigorous approach to AI-assisted software development. It acts as a requirements engineer, conducting structured interviews to identify Jobs to Be Done (JTBD) and decomposing vague tasks into granular, machine-verifiable specifications. By generating a namespaced suite of documentation—including PRDs, backpressure configurations, and detailed implementation plans—this skill ensures that autonomous coding agents have a clear 'Definition of Done' and a structured path to success, significantly reducing the risk of loop divergence and technical debt.

Key Features

• Automated namespaced specification generation (PRD, Backpressure, Agent Context)
• Git branch management integration for feature-specific development
• Detailed implementation planning with task ordering and dependencies
• Deployment of autonomous loop runner scripts (ralph.sh and ralph-one.sh)
• Structured requirements interviewing based on JTBD and Topic decomposition
• 10 GitHub stars

Use Cases

• Standardizing 'Definition of Done' and quality checks for complex software projects
• Preparing structured context and guardrails for autonomous AI coding agents
• Transforming high-level, vague feature requests into actionable technical specifications