Automate end-to-end task execution with PRD-driven iteration and reviewer verification.
npx skills add https://github.com/sehoon787/my-claude --skill ralph-sehoon787
Please help me install this Agent Skill. Skill: ralph Source: https://github.com/sehoon787/my-claude/tree/main/skills/omc/ralph Command: npx skills add https://github.com/sehoon787/my-claude --skill ralph-sehoon787
Ralph enables end-to-end task execution with persistent state and mandatory reviewer verification, preventing silent incompletes and ensuring accountability across iterations.
Provide the task and let Ralph iterate across iterations until every user story passes verification.
High-intent search queries and answers about installing and using this skill.
PRD-driven iteration automates long-running multi-agent tasks by tracking progress across user stories and enforcing mandatory reviewer sign-off before completion. Ralph applies persistent state management to prevent silent incompletes across retries and ensure accountability.
PRD-based story tracking monitors task progress across defined user stories over multiple iterations. It pairs per-story acceptance criteria with persistent state management to ensure long-running tasks meet formal sign-off requirements before completion.
You can delegate tasks to specialized agents in parallel based on complexity. Ralph assigns work across agent tiers during PRD-driven iteration, applying persistent state management so every story passes reviewer verification before formal sign-off.
Persistent state management works across retries by maintaining task progress data throughout PRD-driven iterations. Ralph uses this mechanism to prevent silent incompletes, ensuring tasks resume correctly and pass mandatory reviewer verification before completion.
Formal sign-off and reviewer verification are needed for long-running, multi-story tasks that require multi-round refinement. Ralph enforces mandatory verification with persistent state management to ensure accountability before any task is marked complete.
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