Generate detailed Product Requirements Documents optimized for AI agent execution via ralph-tui task orchestration.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add subsy/ralph-tui --skill ralph-tui-prdCompatible with
Supported agents
Guides users through adaptive clarifying questions to understand feature scope, goals, and quality requirements
Produces structured PRDs with user stories, functional requirements, and explicit quality gates for automated conversion to beads issues or prd.json
Emphasizes small, independently completable user stories with verifiable acceptance criteria suitable for singl
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionralph-tui-prdExecute the skills CLI command in your project's root directory to begin installation:
epx add subsy/ralph-tui --skill ralph-tui-prdFetches ralph-tui-prd from subsy/ralph-tui and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/ralph-tui-prd
Restart Cursor to activate ralph-tui-prd. Access via /ralph-tui-prdin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
prd-to-plan
mattpocock/skills · Productivity · tag: prd
prd-writer
pmprompt/claude-plugin-product-management · Productivity · tag: prd
premium-frontend-ui
github/awesome-copilot · Frontend · same category
frontend-ui-ux
code-yeongyu/oh-my-opencode · Frontend · same category
bencium-controlled-ux-designer
bencium/bencium-claude-code-design-skill · Frontend · same category
design-taste-frontend
bnd-1/taste-skill · Frontend · same category
We added ralph-tui-prd from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in ralph-tui-prd — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: ralph-tui-prd is focused, and the summary matches what you get after install.
Keeps context tight: ralph-tui-prd is the kind of skill you can hand to a new teammate without a long onboarding doc.
ralph-tui-prd has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: ralph-tui-prd is focused, and the summary matches what you get after install.
ralph-tui-prd fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: ralph-tui-prd is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend ralph-tui-prd for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
ralph-tui-prd has been reliable in day-to-day use. Documentation quality is above average for community skills.
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