ralph-wiggum

SKILL.md

Ralph is a technique for autonomous AI development. In its purest form, Ralph is a loop that repeatedly feeds the same prompt to an AI agent, letting it iterate on a task until completion. The key insight is that context is like memory - when you malloc() data into the context window, it cannot be free()'d except by starting fresh.

"That's the beauty of Ralph - the technique is deterministically bad in an undeterministic world."

Ralph will make mistakes. That's expected. Each mistake is an opportunity to add a "sign" (guardrail) that prevents that mistake in the future. Like tuning a guitar, you adjust Ralph until it plays the right notes.

의도적인 컨텍스트 관리를 통해 Ralph Wiggum 자율 반복 기술을 구현합니다. 그린필드 프로젝트를 구축하거나, 잘 정의된 작업을 반복하거나, 지속적인 자율 개발이 필요한 경우에 사용하세요. 메모리와 같은 컨텍스트를 관리합니다. 할당을 추적하고, 수정을 방지하고, 새로 시작할 시기를 파악합니다. 출처: agrimsingh/ralph-wiggum-cursor.

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