What is the Ralph Wiggum technique?

It is a structured iterative prompting methodology that emphasizes self-verification, deterministic failure recovery, and clear completion 'promises' to ensure high-quality AI outputs.

Can I use this for non-Ralph skills?

While pre-configured for the ralph-prompt suite, the review framework can be adapted to any Claude Code skill that follows the SKILL.md format and standard best practices.

How does the loop determine when a skill is perfected?

The skill requires a minimum of two consecutive 'clean' reviews with zero recommendations found across all 16 quality criteria before it issues a completion promise.

Does this skill require manual intervention?

No, it is designed to run within a Ralph-loop in Claude Code, automatically handling state management, file reading, and git commits until the objective is met.

Ralph Skill Review Loop

Name: Ralph Skill Review Loop
Author: adaptationio

byadaptationio

Developer Tools

Automates the continuous improvement and validation of Ralph Wiggum prompt skills through iterative self-review cycles.

About

The Ralph Skill Review Loop is a powerful meta-optimization utility designed to ensure high-quality, standardized prompt engineering within the Claude Code environment. By implementing a self-correcting feedback loop, it systematically reviews skill files against established research-backed best practices, tracks improvements in persistent JSON state files, and automatically commits refined versions to Git. This skill is essential for developers building complex prompt suites who need to guarantee reliability, performance, and structural consistency through automated quality assurance and deterministic validation logic.

Key Features

Strict exit criteria requiring two consecutive clean reviews for completion
Validation against 16+ specific criteria including Ralph technique alignment
Iterative self-improvement loop for automated skill refinement
0 GitHub stars
Real-time state tracking via JSON and Markdown progress logs
Integrated Git version control for auditing and committing improvements

Use Cases

Automating the quality assurance process for complex domain-specific skills
Standardizing documentation and structure across a library of Claude Code skills
Validating and perfecting the Ralph Wiggum prompt generator suite

About

Key Features

Strict exit criteria requiring two consecutive clean reviews for completion
Validation against 16+ specific criteria including Ralph technique alignment
Iterative self-improvement loop for automated skill refinement
0 GitHub stars
Real-time state tracking via JSON and Markdown progress logs
Integrated Git version control for auditing and committing improvements

Use Cases

Automating the quality assurance process for complex domain-specific skills
Standardizing documentation and structure across a library of Claude Code skills
Validating and perfecting the Ralph Wiggum prompt generator suite