Convert vague product ideas into structured PRD documents with user stories.
npx skills add https://github.com/doravidan/supreme-ralph --skill prd-doravidan
Please help me install this Agent Skill. Skill: prd Source: https://github.com/doravidan/supreme-ralph/tree/main/.claude/skills/prd Command: npx skills add https://github.com/doravidan/supreme-ralph --skill prd-doravidan
Teams often struggle to convert vague product ideas into actionable, shareable PRDs that guide design, development, and testing.
Tell the AI to create a PRD for a new feature in a project. Provide concise context including project name, tech stack, target users, and success criteria. The AI will output a complete PRD document and a prd.json file.
High-intent search queries and answers about installing and using this skill.
To convert a vague product idea into a structured PRD, provide the AI with concise project context like the tech stack and target users. It then asks targeted clarifying questions to generate a formal document with sections for goals, user stories, and technical considerations.
A formal product requirements document should include sections for Overview, Project Context, Goals, User Stories, Non-Goals, Technical Considerations, and Quality Gates. This template-driven format ensures actionable guidance for design, development, and testing teams.
To generate user stories from initial project context, the AI analyzes your provided project name and success criteria. It uses interactive elicitation to ask clarifying questions about constraints, then outputs structured user stories within the final PRD.
Yes, you can export a PRD to Markdown and JSON formats. The skill enforces a consistent PRD template and automatically outputs both a complete Markdown document and a prd.json file for shareable, actionable development tracking.
The best way to define non-goals and quality gates for a feature is through interactive elicitation. The AI asks targeted questions about your project constraints and success metrics to clarify boundaries, then populates dedicated sections in the final PRD.
You do not need a full tech stack, but providing concise context including project name, tech stack, target users, and success criteria yields better results. The AI asks targeted questions to fill gaps and refine the structured PRD output.
yukikmGenerate a Product Requirements Document draft from initial requirements.
89jobrienConvert markdown PRDs into ralph-tui-compatible prd.json files.
way-platformGenerate structured PRDs from feature prompts and save them to markdown files.
hangeaiagentDraft AgentPit PRD workflows through interactive dialogue and update state.json.
