Executes PRD-based engineering tasks until all user stories are verified and accepted.
npx skills add https://github.com/cheafi/Trading-bot-CC --skill ralph-cheafi
Please help me install this Agent Skill. Skill: ralph Source: https://github.com/cheafi/Trading-bot-CC/tree/main/.github/skills/ralph Command: npx skills add https://github.com/cheafi/Trading-bot-CC --skill ralph-cheafi
This Skill resolves incomplete work by driving a PRD-based persistence loop that continues until every user story is verified as passing.
.omg/prd.json and breaks the task into acceptance-criteria-driven stories.Use the ralph skill to complete a task end-to-end with verification by saying: ralph, don't stop, must complete, finish this, keep going until done: implement the missing unit tests for the current trading strategy module.
High-intent search queries and answers about installing and using this skill.
PRD-based persistence loops resolve incomplete work by driving multi-iteration engineering tasks until every user story has verified passes. They continuously implement the highest-priority unfinished story and validate each criterion with fresh evidence before final completion.
PRD-driven execution manages story prioritization by creating or reusing a PRD file to break tasks into acceptance-criteria-driven stories. It then iteratively implements the highest-priority unfinished story until all criteria are validated with fresh evidence.
PRD-based persistence loops apply to multi-iteration engineering tasks that require structured requirements, continuous verification, and cleanup plus regression checks. They require PRD generation or loading, story prioritization, iterative implementation, and evidence-based verification.
Optional cleanup control via flags allows you to manage the post-review cleanup pass within the PRD-based execution loop. This ensures that regression re-verification via tests is performed safely before final cancellation on approval.
PRD-based persistence loops require PRD generation or loading, story prioritization, iterative implementation, evidence-based verification, optional cleanup control via flags, and final cancellation on approval to successfully complete multi-iteration engineering tasks.
stephschofieldGenerate a structured Product Requirements Document from a feature idea.
sehoon787Remove redundant wrappers and dead code while preserving behavior.
kynetic-aiValidate kspec task PRs against acceptance criteria and spec alignment before merging.
dropsyoonIterate through PRD stories until all pass and a reviewer verifies completion.