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.

Implements the Ralph Wiggum autonomous iteration technique with deliberate context management. Use when building greenfield projects, iterating on well-defined tasks, or when continuous autonomous development is needed. Manages context like memory - tracks allocations, prevents redlining, and knows when to start fresh. Source: agrimsingh/ralph-wiggum-cursor.

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