What happens if a validation check fails?

The skill triggers an automated debug loop, spawning a debugger agent to identify and fix root causes. It will attempt up to three automated fixes before escalating to the user for guidance.

How does the multi-agent system work?

The orchestrator manages the high-level workflow and spawns fresh sub-agents (Executor, Validator, Debugger) for specific tasks to ensure each phase has maximum context availability and specialized instructions.

Does Ralph PIV handle git commits?

Yes, once a phase passes validation, the orchestrator automatically performs a smart semantic commit (e.g., feat/fix/refactor) and updates your workflow documentation.

Do I need to have a PRD ready to use this skill?

No. If no Product Requirements Document (PRD) is found, Ralph PIV enters Discovery Mode to help you generate one through a conversational interview process.

What does PIV stand for?

PIV stands for Plan-Implement-Validate, the three core stages of this skill's development methodology designed for reliable solo AI development.

Ralph PIV Orchestrator

Name: Ralph PIV Orchestrator
Author: SmokeAlot420

bySmokeAlot420

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Productivity & Workflow

Implements a structured Plan-Implement-Validate workflow for autonomous software development using specialized sub-agents.

Ralph PIV is a sophisticated workflow orchestrator for Claude Code designed to minimize context bloat while maximizing execution quality for solo developers. By following a strict Plan-Implement-Validate (PIV) cycle, it guides the AI through discovery, requirement documentation (PRD), detailed phase planning (PRP), and rigorous independent validation. The skill automatically spawns specialized sub-agents for research, coding, and testing, ensuring each task is handled with fresh context and specific instructions, ultimately delivering production-ready code with automated semantic commits and workflow tracking.

Key Features

01Automated Discovery Mode for generating PRDs from conversational project ideas

02Automated debugging loops with up to 3 iterations for failed validation checks

03Multi-agent architecture with specialized roles for planning, execution, and validation

04Context-efficient orchestration to prevent model performance degradation on large tasks

052 GitHub stars

06Smart semantic commits and automated progress tracking via WORKFLOW.md

Use Cases

01Implementing complex features in existing codebases with high reliability and testing

02Building a new software project from scratch starting with a high-level concept

03Automating the end-to-end development lifecycle from planning to git commit

Key Features

01Automated Discovery Mode for generating PRDs from conversational project ideas

02Automated debugging loops with up to 3 iterations for failed validation checks

03Multi-agent architecture with specialized roles for planning, execution, and validation

04Context-efficient orchestration to prevent model performance degradation on large tasks

052 GitHub stars

06Smart semantic commits and automated progress tracking via WORKFLOW.md

Use Cases

01Implementing complex features in existing codebases with high reliability and testing

02Building a new software project from scratch starting with a high-level concept

03Automating the end-to-end development lifecycle from planning to git commit