Automate iterative task loops with dependency-aware backlog processing.
npx skills add https://github.com/BenjaminG/ai-skills --skill ralph-loop-benjaming
Please help me install this Agent Skill. Skill: ralph-loop Source: https://github.com/BenjaminG/ai-skills/tree/main/ralph-loop Command: npx skills add https://github.com/BenjaminG/ai-skills --skill ralph-loop-benjaming
This Skill enables you to design and run autonomous iterative loops that process a backlog of tasks, enabling predictable, repeatable execution without manual intervention.
Initialize a Ralph loop with the provided script and point it at your output directory. Then customize the loop by selecting a template and goal.
High-intent search queries and answers about installing and using this skill.
Automating iterative task processing involves running a loop over a backlog of tasks with clear acceptance criteria. This Skill uses a loop runner to process tasks one at a time with dependency awareness, logging progress and accumulating knowledge during iterations.
Prompt-driven refactoring workflows can be executed using template-driven prompts that bootstrap autonomous loops. This approach processes codebase tasks sequentially while maintaining dependency awareness, ensuring predictable, repeatable execution without manual intervention.
Handling task dependencies in an automation loop requires a task system that tracks and updates task statuses. This Skill applies dependency awareness to process backlog items one at a time, ensuring prerequisite tasks are completed before dependent ones begin.
Template-driven prompts support codebase migration, exploration, testing, and refactoring workflows. By initializing a loop with a selected template and goal, you can automate predictable, repeatable execution across a backlog of tasks.
Backlog processing requires a task system to track task lists and update task statuses. This Skill satisfies those requirements internally, using a loop runner to orchestrate prompts and manage dependency-aware execution over your backlog.
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