How does this skill improve Claude's task completion?

By providing clear, binary success criteria and specific verification commands, it prevents the AI from exiting early or making subjective claims about code quality, requiring it to pass tests before finishing.

What is the Ralph Wiggum technique in AI coding?

The Ralph Wiggum technique is an iterative philosophy where failures are viewed as deterministic data points. It uses self-correction loops and automated testing to ensure the AI reaches a verifiable 'done' state.

What is the significance of the tag?

The tag is a specific completion signal used by the Ralph loop to identify that the AI has successfully met every predefined success criterion and passed all verification tests.

Can I use this for complex, multi-day projects?

This skill is optimized for tasks that can be completed in a single session. For larger initiatives, it is recommended to break the work into smaller sub-tasks or use the project-level Ralph generator.

Ralph Prompt Generator: Single Task

Name: Ralph Prompt Generator: Single Task
Author: adaptationio

byadaptationio

Productivity & Workflow

Generates structured, TDD-focused prompts for Claude to execute single development tasks with automatic verification.

About

This skill streamlines the creation of high-performance prompts tailored for the Ralph Wiggum technique, an iterative approach to software development that treats failures as data for improvement. It helps developers define clear success criteria, verification commands, and a Test-Driven Development (TDD) workflow for focused tasks like bug fixes, feature implementations, and refactoring. By enforcing deterministic verification and self-correction loops, it ensures Claude delivers precise results with a clear <promise> completion signal, minimizing hallucinations and manual oversight.

Key Features

0 GitHub stars
Standardized completion criteria and verification commands
Built-in Test-Driven Development (TDD) workflow generation
Support for Ralph-compatible self-correction loops
Automated prompt structuring for single-task focus
Templates for bugs, features, and refactoring tasks

Use Cases

Quickly generating bug fix prompts with reproducible success criteria
Refactoring legacy code while ensuring no regressions via automated checks
Implementing new features using a TDD approach within Claude

About

Key Features

0 GitHub stars
Standardized completion criteria and verification commands
Built-in Test-Driven Development (TDD) workflow generation
Support for Ralph-compatible self-correction loops
Automated prompt structuring for single-task focus
Templates for bugs, features, and refactoring tasks

Use Cases

Quickly generating bug fix prompts with reproducible success criteria
Refactoring legacy code while ensuring no regressions via automated checks
Implementing new features using a TDD approach within Claude