ralph-loop
Ralph Loop — Python Orchestrator
⚠️ IMPORTANT: This skill uses a Python orchestrator script. Do NOT execute arbitrary bash commands. Use Bash ONLY to run ralph_loop.py. All task commands (like /developer-kit-specs:specs.task-implementation) are shown to the user to execute manually.
Overview
The Ralph Loop applies Geoffrey Huntley's "Ralph Wiggum as a Software Engineer" technique to specification-driven development. It uses a Python orchestrator script that manages a state machine: one invocation = one step, state persisted in fix_plan.json.
Key insight: Implementing + reviewing + syncing in one invocation explodes the context window. Solution: each loop iteration does exactly one step, saves state to fix_plan.json, and stops. The next iteration resumes from saved state.
Key improvement: The Python script ralph_loop.py handles all state management, task selection, and command generation. It does NOT execute task commands directly — it shows you the correct command to execute in your CLI.
When to Use
- User runs
/loopcommand for recurring automation - User asks to "automate implementation" or "run tasks in loop"
- User wants to "iterate through tasks step-by-step" or "run workflow automation"
- User needs "context window management" across multiple SDD commands
- User wants to "process task range" from TASK-N to TASK-M
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