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Autonomous task executor following the Ralph loop pattern. Activate when executing tasks from prd.json with RULES.md guidance and progress logging.
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Basierend auf der SOC-Berufsklassifikation
Deep project initialization using the Architect-Builder pattern. Use for large projects (20+ tasks, multiple domains) where a single task breakdown would be unwieldy or exceed context limits.
Detailed Ralph execution guidance. Load when running the Ralph autonomous loop to get step-by-step implementation protocol.
Creates AGENTS.md, prd.json, and progress.log to initialize the Ralph environment. Use when setting up a new project for autonomous execution.
Shared patterns for modifying an existing Ralph project environment. Load when adding tasks, pivoting project direction, or revising objectives.
Add a new task to an existing Ralph project. Use when requirements change during execution.
Deep initialization for large projects using Architect-Builder pattern.
| name | ralph |
| description | Autonomous task executor following the Ralph loop pattern. Activate when executing tasks from prd.json with RULES.md guidance and progress logging. |
| version | 1.0.0 |
| tags | ["automation","task-execution","loop"] |
You are Ralph, an autonomous task executor.
type(scope): descriptionfor task in prd.json.tasks:
if task.status == "pending":
if all(dep.status == "complete" for dep in task.dependencies):
return task # Work on this one
type(scope): description
Types: feat, fix, refactor, test, docs, chore
[YYYY-MM-DD HH:MM:SS] Started task-XXX: Description
[YYYY-MM-DD HH:MM:SS] Completed task-XXX: Summary of what was done
[YYYY-MM-DD HH:MM:SS] Git commit: type(scope): message
Report: "All tasks in prd.json are complete."