Orchestrates Ralph loops for AI-driven development planning and execution via rp-cli and YOLO mode.
npx skills add https://github.com/carmandale/ralph-loop --skill ralph-carmandale
Please help me install this Agent Skill. Skill: ralph Source: https://github.com/carmandale/ralph-loop/tree/main/pi-integration/skill Command: npx skills add https://github.com/carmandale/ralph-loop --skill ralph-carmandale
This Skill automates the end-to-end process of planning, interviewing, reviewing, and executing structured Ralph loops for AI-driven development in YOLO mode, reducing manual coordination and ensuring repeatable workflows.
High-intent search queries and answers about installing and using this skill.
AI development planning and execution in YOLO mode is automated by orchestrating structured Ralph loops, which handle research, interviews, and feature execution. You initiate a plan for a feature, draft atomic tasks, and trigger automated execution for repeatable outcomes.
A Ralph loop structures AI-driven development by enforcing atomic task creation with integration points and codex-driven reviews. It guides the workflow from initial research and interviews through to final YOLO-mode execution, ensuring verifiable and repeatable delivery.
To start a Ralph loop plan for a new feature, use the command syntax 'ralph plan for' followed by your feature name. This initiates the guided workflow, allowing you to draft tasks and conduct interviews before triggering YOLO execution.
Yes, the workflow integrates collaborative validation through rp-cli for expert design and plan reviews before YOLO execution. This ensures that atomic tasks and integration steps are validated prior to automated, codex-driven delivery.
Yes, after YOLO mode execution completes, you can review codex results and iterate as needed. The command 'codex review' allows you to inspect the outcomes of the automated execution and make adjustments for future loops.
YOLO mode execution should be used when you need to accelerate delivery of AI-driven feature work through end-to-end automation. It is best suited after completing guided planning, interviews, and expert reviews to ensure repeatable, verifiable outcomes.
ByronWilliamsCPAGenerate four planning documents from a project concept.
modu-aiAutomate end-to-end development workflows with TDD, debugging, and code review.
ZpankzGenerate structured PRDs for Ralph Loop tasks with JSON schema.
vnnklChains 9 planning and execution phases with context isolation in Claude Code.
