Decompose ideas into atomic tasks and execute them with retries.
npx skills add https://github.com/franzenjb/claude-skills --skill ralph-franzenjb
Please help me install this Agent Skill. Skill: ralph Source: https://github.com/franzenjb/claude-skills/tree/main/ralph Command: npx skills add https://github.com/franzenjb/claude-skills --skill ralph-franzenjb
Ralph solves the challenge of executing complex, multi-step product work by automatically breaking ideas into atomic tasks and running them in fresh context windows with retry loops and accumulated learnings.
Provide a high-level idea and let Ralph produce a PRD, decompose tasks, and begin execution. Example: "Ralph, implement a feature to ...; start with a PRD and break into tasks."
High-intent search queries and answers about installing and using this skill.
Multi-step task orchestration with retries is handled by breaking ideas into atomic tasks and executing them in fresh context windows, auto-retrying failures up to 10 attempts with accumulated learnings.
To generate a PRD and break a product idea into atomic tasks, provide a high-level idea and the system will produce a PRD, decompose tasks, and begin iterative execution across fresh context windows.
Yes, fresh context windows are used for each attempt during complex workflow execution, ensuring that every retry operates independently while maintaining structured attempt notes to guide subsequent retries.
When a task repeatedly fails during multi-step task decomposition, the system enforces a 10-attempt retry limit and provides escalation notes after repeated failures to surface the need for human intervention.
Task orchestration with iterative retries prioritizes quality engineering and reliability over speed, applying structured QA checks and notes to ensure complex multi-step product work meets standards.
Structured attempt notes are used in workflow automation to accumulate learnings from failed attempts, which guides subsequent retries and improves the success rate of complex multi-step tasks.
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