Manage iterative loops with pacing control and progress tracking in Codex tasks.
npx skills add https://github.com/san-tian/codex-ralph-loop-tools --skill ralph-san-tian
Please help me install this Agent Skill. Skill: ralph Source: https://github.com/san-tian/codex-ralph-loop-tools/tree/main/skills/ralph Command: npx skills add https://github.com/san-tian/codex-ralph-loop-tools --skill ralph-san-tian
This Skill provides a structured approach to managing iterative loops in complex tasks, enabling pacing control and verifiable progress tracking.
Use the ralph skill to start a loop for a software development project by calling 'ralph_start name: "Project A" taskContent: "Develop a new feature." maxIterations: 10 reflectEvery: 5 reflectInstructions: "Review code and documentation every 5 iterations."'
High-intent search queries and answers about installing and using this skill.
Iterative loop management for complex software development tasks is handled through structured operations like start, continue, pause, resume, and cancel. This approach enforces pacing control and tracks verifiable progress across multiple task iterations within Codex.
Tracking verifiable progress in Codex task loops involves recording verification evidence during each iteration. The loop management framework supports status checks and archiving to maintain a clear history of task completion and reflection periods.
Yes, running iterative task management loops requires Codex plugin loading and workspace hook support. The environment also depends on Python3 and tmux to execute the underlying scripts and manage the structured loop framework.
Pausing and resuming software development loops preserves task progress through the framework's structured state management. You can use pause and resume operations to control pacing, with status checks ensuring verifiable progress is maintained across iterations.
Starting an iterative loop with pacing control involves calling the start operation with parameters like task content, maximum iterations, and reflection intervals. This configures a structured framework for regular code review and verification throughout the development cycle.
Iterative loop management should not be used for single-step tasks or environments lacking Codex CLI, Python3, and tmux dependencies. It is designed for multi-step workflows requiring pacing control, regular reflection, and verifiable progress tracking.
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