agrimsinghagrimsinghCommunityยท1 Agent Skills Included

ralph-wiggum-cursor

Autonomous coding loops with fresh context rotation

Runs autonomous coding loops that repeatedly feed the same task prompt to a coding agent until every checkbox is done. Stores progress in files and git instead of conversation memory, preventing context pollution and repeated failures. Detects stuck states, rotates to fresh context automatically, and supports parallel agents with branch and PR workflows.
npx skills add agrimsingh/ralph-wiggum-cursor --all -g -y

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Frequently Asked Questions

FAQPage Schema
How to install Ralph Wiggum for Cursor?โ–ผ

Run `npx skills add agrimsingh/ralph-wiggum-cursor --all -g -y` in your terminal to install the skill globally.

What is the Ralph Wiggum technique?โ–ผ

It is a loop that feeds the same task prompt to a coding agent repeatedly, keeping progress in files and git instead of the conversation. When context fills up, a fresh agent continues from the saved state.

How does Ralph prevent context pollution?โ–ผ

It tracks token usage, warns at 70k tokens, and rotates to a fresh context at 80k. It also detects gutter states like the same command failing three times and starts fresh.

Can Ralph run multiple agents in parallel?โ–ผ

Yes. Parallel mode runs multiple agents in isolated git worktrees, then auto-merges results and can open a single pull request.

Do I need coding experience to use Ralph?โ–ผ

You only need to write a task file with clear checkbox success criteria. The scripts handle iteration, retries, and git commits automatically.

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