Iterate tasks to verified completion with architect review and persistence loops.
npx skills add https://github.com/ssccio/cc-on-web-base --skill ralph-ssccio
Please help me install this Agent Skill. Skill: ralph Source: https://github.com/ssccio/cc-on-web-base/tree/main/skills/ralph Command: npx skills add https://github.com/ssccio/cc-on-web-base --skill ralph-ssccio
Ralph helps you keep working on a task until completion by enforcing a structured loop and requiring architect verification before declaring the work done.
Tell the AI: Continue solving my task with Ralph, and if needed use PRD mode when I include the flag --prd in my request.
High-intent search queries and answers about installing and using this skill.
Iterative task execution reaches verified completion by running a self-referential persistence loop that continues iterating until an architect enforces review and demands fresh verification evidence, preventing premature or partial stop conditions.
Parallel agent orchestration runs independent work simultaneously using ultrawork delegation, applying tiered model routing and background execution rules to coordinate tasks, reduce latency, and save tokens during code completion.
Yes, you can initialize product requirements by passing a PRD flag. This creates a PRD file structure and automatically breaks the work into right-sized, verifiable user stories before the execution loop begins.
The best way to gate task completion is enforcing an architect review that requires fresh verification evidence. This completion gating mechanism ensures work is proven complete before declaration, avoiding unverified partial deliveries.
AI agents often stop early due to missing persistence loops. A structured persistence loop forces the agent to continue iterating when a task is incomplete, ensuring a completion promise is produced and verified.
mazenyassergithubCreate prd.json and progress.txt files for ralph-loop execution.
jchildreeVerify completion claims by executing and confirming command outputs before commits.
shaun0927Coordinate parallel execution of independent tasks across multiple agents.
hochoa13Execute implementation plans by dispatching subagents with two-stage reviews.
