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AI EngineeringTypeScript

Open Ralph Wiggum

Open Ralph Wiggum is an AI Engineering skill for Claude Code, published by Th0rgal in open-ralph-wiggum.

1.9K stars143 forkson Th0rgal/open-ralph-wiggumAdded 2026/08/18Repository updated 2026/06/02

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claude-codeopen-codeopencoderalphralph-wiggum

Install in seconds

Install Open Ralph Wiggum

Copy Open Ralph Wiggum into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/Th0rgal/open-ralph-wiggum/tree/master/skills/open-ralph-wiggum ~/.claude/skills/open-ralph-wiggum

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Th0rgal/open-ralph-wiggum.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/open-ralph-wiggum/SKILL.md in Th0rgal/open-ralph-wiggum
Installs to: ~/.claude/skills/open-ralph-wiggum
Collection: The only skill cataloged from this repository
Category: AI Engineering — 2451 skills

What Open Ralph Wiggum does

Open Ralph Wiggum wraps any supported AI coding agent in an autonomous loop that repeats a prompt until a completion promise appears in the agent output. Use it when you want an AI coding agent to self-correct and keep iterating on a task without manual intervention.

Open Ralph Wiggum is cataloged under AI Engineering on DirSkills. Open Ralph Wiggum comes from a repository tagged claude-code, open-code, opencode, ralph and ralph-wiggum.

Documentation

README

Excerpt

Open Ralph Wiggum

Open Ralph Wiggum (ralph) wraps any supported AI coding agent in an autonomous loop: it sends the same prompt on every iteration, and the agent self-corrects by observing the state of the repo. The loop ends when the agent outputs a configurable completion promise (e.g. <promise>COMPLETE</promise>).

Supported agents: Claude Code, OpenAI Codex, GitHub Copilot CLI, Cursor Agent, Qwen Code, OpenCode (default).

Installation

Prerequisites

This is the opening of the README. Read the full README on GitHub.

Commands Open Ralph Wiggum provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/login
/status

Frequently asked about Open Ralph Wiggum

How does Open Ralph Wiggum compare to other AI Engineering skills?
Open Ralph Wiggum ranks #909 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Open Ralph Wiggum against them. Open each page to compare what they document and how they install.

More AI Engineering skills

Open Ralph Wiggum is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #909 by stars among them.

Browse all AI Engineering skills →

Architecture Decision Records

Architecture Decision Records captures architectural decisions made during Claude Code sessions as structured ADRs, recording context, alternatives, and rationale. Use it when significant technical choices are made so future developers understand why the codebase is shaped the way it is.

AI-First Engineering

AI-First Engineering defines process, review, and architecture standards for teams where AI agents produce most implementation output. Use it to set ownership rules, quality gates, and evaluation criteria for agent-generated code.

Agentic OS

Agentic OS codifies a persistent multi-agent operating system architecture for Claude Code. Use it when building a multi-agent workflow with file-based memory, slash commands, and scheduled automation that survives session restarts.