Generate structured PRPs with implementation blueprints and validation gates.
npx skills add https://github.com/petyosi/rc --skill prp-workflow
Please help me install this Agent Skill. Skill: prp-workflow Source: https://github.com/petyosi/rc/tree/main/claude/skills/prp-workflow Command: npx skills add https://github.com/petyosi/rc --skill prp-workflow
PRP workflow standardizes feature implementation for AI projects by providing complete context, implementation blueprints, and validation gates to enable one-pass success.
Submit a feature request to trigger PRP generation and receive a ready-to-implement PRP plan.
High-intent search queries and answers about installing and using this skill.
A Product Requirement Plan (PRP) for AI features standardizes implementation by providing complete context, blueprints, and validation gates, ensuring traceability, repeatability, and one-pass execution success.
The best way to validate requirements before executing an AI feature plan is to use a PRP workflow that applies automated research prompts, templates, and validation loops to ensure traceability and repeatability.
You can clarify an existing product requirement plan for AI development by using a dedicated clarification mode that updates the PRP with missing context, data needs, and measurable success criteria.
Yes, you can execute an existing PRP across codebases and external references using an execution mode that follows the implementation blueprint and validation gates to guide integration.
You need a PRP workflow for product management when handling complex feature requests that require a structured plan with specific goals, success criteria, data needs, tasks, and validation steps.
arroyo2009jose-maxGenerate a PRP with objective, behavior, data model, and phased milestones.
fgarofalo56Implement PRP methodology for PRD creation, planning, and validated code implementation.
nishantnaagnihotriAlign requirements to PRD mappings with traceability evidence across Gate transitions.
korchasaAutomate structured critique and planning of software architecture in GODS-formatted whiteboard documents.
