Use when context window exhaustion is a concern or when addressing a large volume of PR comments — spawns a fresh agent session per comment via an external shell loop. For an in-session approach, use pr-review-loop or copilot-review-loop instead.
Quickly install ralph-wiggum-loop AI skill to your development environment via command line
Source: xpepper/pr-review-agent-skill.
The Ralph Wiggum pattern: an external shell loop that spawns a fresh agent session per PR comment. Each invocation reads a plan file, does exactly one unit of work (triage or fix), then exits. The shell loop handles repetition.
This avoids context window exhaustion and works with any agent.
This skill is not invoked via chat. Instead, you run a shell loop in your terminal — the loop pipes CODEREVIEWPLAN.md to a fresh agent session for each iteration:
Use when context window exhaustion is a concern or when addressing a large volume of PR comments — spawns a fresh agent session per comment via an external shell loop. For an in-session approach, use pr-review-loop or copilot-review-loop instead. Source: xpepper/pr-review-agent-skill.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/xpepper/pr-review-agent-skill --skill ralph-wiggum-loopUse when context window exhaustion is a concern or when addressing a large volume of PR comments — spawns a fresh agent session per comment via an external shell loop. For an in-session approach, use pr-review-loop or copilot-review-loop instead. Source: xpepper/pr-review-agent-skill.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/xpepper/pr-review-agent-skill --skill ralph-wiggum-loop Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/xpepper/pr-review-agent-skill