Skills Agentes

Ralph Tui Prd

Genera un Product Requirements Document (PRD) para orquestación de tareas con ralph-tui, con historias de usuario convertibles a issues de beads o prd.json.

Estrellas
2.4k

en todo el repo

Actividad
61

0–100, la ruta de este skill

Actualizado
hace 4 días

último commit aquí

Commits
1

últimos 90 días

Contexto
2.5k tok

69 tok en reposo

Paquete
1 archivo

10 KB

Instalar

Funciona con cualquier agente que lea SKILL.md

npx -y skills add subsy/ralph-tui --skill ralph-tui-prd --agent claude-code

Se instala solo en este repositorio.

Qué hace

  • Guía al agente para hacer preguntas aclaratorias con opciones (1-4 rondas) antes de generar el PRD
  • Genera un PRD estructurado con Overview, Goals, Quality Gates, User Stories, Functional Requirements, Non-Goals, etc.
  • Envuelve el PRD final en marcadores [PRD]...[/PRD] para que la TUI lo parsee
  • Pregunta obligatoriamente por los comandos de quality gates a exigir en cada historia de usuario
  • No implementa nada, solo produce el documento de requisitos

Úsalo cuando

  • Cuando el usuario dice 'create a prd', 'write prd for', 'plan this feature', 'requirements for' o 'spec out'
  • Cuando se necesita planificar una feature para ejecución automatizada vía ralph-tui

No lo uses cuando

    Qué lo activa

    Di cualquiera de estas frases y el agente debería cargar este skill.

    • Crea un PRD para agregar modo oscuro a la TUI
    • Escribe el PRD para esta funcionalidad
    • Planifica esta feature antes de implementarla
    • Especifica los requisitos para el nuevo módulo

    SKILL.md

    En inglés

    Ralph TUI PRD Generator

    Create detailed Product Requirements Documents optimized for AI agent execution via ralph-tui.


    The Job

    1. Receive a feature description from the user
    2. Ask 3-5 essential clarifying questions (with lettered options) - one set at a time
    3. Always ask about quality gates (what commands must pass)
    4. After each answer, ask follow-up questions if needed (adaptive exploration)
    5. Generate a structured PRD when you have enough context
    6. Output the PRD wrapped in [PRD]...[/PRD] markers for TUI parsing

    Important: Do NOT start implementing. Just create the PRD.


    Step 1: Clarifying Questions (Iterative)

    Ask questions one set at a time. Each answer should inform your next questions. Focus on:

    • Problem/Goal: What problem does this solve?
    • Core Functionality: What are the key actions?
    • Scope/Boundaries: What should it NOT do?
    • Success Criteria: How do we know it's done?
    • Integration: How does it fit with existing features?
    • Quality Gates: What commands must pass for each story? (REQUIRED)

    Format Questions Like This:

    1. What is the primary goal of this feature?
       A. Improve user onboarding experience
       B. Increase user retention
       C. Reduce support burden
       D. Other: [please specify]
    
    2. Who is the target user?
       A. New users only
       B. Existing users only
       C. All users
       D. Admin users only
    

    This lets users respond with "1A, 2C" for quick iteration.

    If you are Claude Code in an interactive session, you may present these questions with the AskUserQuestion tool instead - same questions and options, still one set at a time. When this skill is driven by ralph-tui create-prd, the agent runs non-interactively and nothing can answer a tool call, so ask in plain text with lettered options as above.

    Quality Gates Question (REQUIRED)

    Always ask about quality gates - these are project-specific:

    What quality commands must pass for each user story?
       A. pnpm typecheck && pnpm lint
       B. npm run typecheck && npm run lint
       C. bun run typecheck && bun run lint
       D. Other: [specify your commands]
    
    For UI stories, should we include browser verification?
       A. Yes, use dev-browser skill to verify visually
       B. No, automated tests are sufficient
    

    Adaptive Questioning

    After each response, decide whether to:

    • Ask follow-up questions (if answers reveal complexity)
    • Ask about a new aspect (if current area is clear)
    • Generate the PRD (if you have enough context)

    Typically 2-4 rounds of questions are needed.


    Step 2: PRD Structure

    Generate the PRD with these sections:

    1. Introduction/Overview

    Brief description of the feature and the problem it solves.

    2. Goals

    Specific, measurable objectives (bullet list).

    3. Quality Gates

    CRITICAL: List the commands that must pass for every user story.

    ## Quality Gates
    
    These commands must pass for every user story:
    - `pnpm typecheck` - Type checking
    - `pnpm lint` - Linting
    
    For UI stories, also include:
    - Verify in browser using dev-browser skill
    

    This section is extracted by conversion tools (ralph-tui-create-json, ralph-tui-create-beads) and appended to each story's acceptance criteria.

    4. User Stories

    Each story needs:

    • Title: Short descriptive name
    • Description: "As a [user], I want [feature] so that [benefit]"
    • Acceptance Criteria: Verifiable checklist of what "done" means

    Each story should be small enough to implement in one focused AI agent session.

    Format:

    ### US-001: [Title]
    **Description:** As a [user], I want [feature] so that [benefit].
    
    **Acceptance Criteria:**
    - [ ] Specific verifiable criterion
    - [ ] Another criterion
    

    Note: Do NOT include quality gate commands in individual story criteria - they are defined once in the Quality Gates section and applied automatically during conversion.

    Important:

    • Acceptance criteria must be verifiable, not vague
    • "Works correctly" is bad
    • "Button shows confirmation dialog before deleting" is good
    • Each story should be independently completable

    5. Functional Requirements

    Numbered list of specific functionalities:

    • "FR-1: The system must allow users to..."
    • "FR-2: When a user clicks X, the system must..."

    Be explicit and unambiguous.

    6. Non-Goals (Out of Scope)

    What this feature will NOT include. Critical for managing scope.

    7. Technical Considerations (Optional)

    • Known constraints or dependencies
    • Integration points with existing systems
    • Performance requirements

    8. Success Metrics

    How will success be measured?

    9. Open Questions

    Remaining questions or areas needing clarification.


    Writing for AI Agents

    The PRD will be executed by AI coding agents via ralph-tui. Therefore:

    • Be explicit and unambiguous
    • User stories should be small (completable in one session)
    • Acceptance criteria must be machine-verifiable where possible
    • Include specific file paths if you know them
    • Reference existing code patterns in the project

    Output Format

    CRITICAL: Wrap the final PRD in markers for TUI parsing:

    [PRD]
    # PRD: Feature Name
    
    ## Overview
    ...
    
    ## Quality Gates
    ...
    
    ## User Stories
    ...
    [/PRD]
    

    File naming: The TUI will save to ./tasks/prd-[feature-name].md


    Example Conversation Flow

    User: Create a PRD for adding dark mode to the TUI

    Assistant: I'll help you create a PRD for dark mode. Let me ask a few questions:

    1. What is the primary goal? A. Reduce eye strain for long sessions B. Match system theme preference C. Provide visual customization D. Other

    2. Should the setting persist? A. Yes, save to config file B. No, session only C. Follow system preference

    User: 1A, 2A

    Assistant: Great! A couple more questions:

    1. Which components need dark mode support? A. All TUI components B. Only the main execution view C. Main view + settings D. Other

    2. What quality commands must pass for each story? A. pnpm typecheck && pnpm lint B. npm run typecheck && npm run lint C. bun run typecheck D. Other: [specify]

    3. For UI stories, include browser verification? A. Yes, use dev-browser skill B. No, automated tests sufficient

    User: 3A, 4A, 5A

    Assistant: Perfect, I have enough to generate the PRD.

    [PRD]

    PRD: Dark Mode for Ralph TUI

    Overview

    Add dark mode support to ralph-tui to reduce eye strain during long orchestration sessions. The feature will apply to all TUI components and persist the user's preference in the config file.

    Goals

    • Provide a comfortable viewing experience in low-light environments
    • Persist theme preference across sessions
    • Apply consistent styling to all TUI components

    Quality Gates

    These commands must pass for every user story:

    • pnpm typecheck - Type checking
    • pnpm lint - Linting

    For UI stories, also include:

    • Verify in browser using dev-browser skill

    User Stories

    US-001: Add theme configuration

    Description: As a user, I want to set my preferred theme (light/dark) so that it persists across sessions.

    Acceptance Criteria:

    • Add theme field to .ralph-tui.yaml schema
    • Support values: "light", "dark", "system"
    • Default to "light" for backwards compatibility

    US-002: Create dark theme color palette

    Description: As a user, I want a soft-contrast dark theme that's easy on the eyes.

    Acceptance Criteria:

    • Define dark palette with gray tones (not pure black)
    • Ensure sufficient contrast ratios (WCAG AA)
    • Colors work well for all UI states (selected, hover, disabled)

    US-003: Apply theme to TUI components

    Description: As a user, I want all TUI components to respect my theme preference.

    Acceptance Criteria:

    • Header component uses theme colors
    • Task list uses theme colors
    • Detail panels use theme colors
    • Progress bar uses theme colors
    • Dialogs use theme colors

    US-004: Add theme toggle in settings

    Description: As a user, I want to toggle themes from within the TUI settings.

    Acceptance Criteria:

    • Theme option visible in settings view
    • Changes apply immediately without restart
    • Changes persist to config file

    Functional Requirements

    • FR-1: Theme setting must be readable from .ralph-tui.yaml
    • FR-2: Theme must apply on TUI startup
    • FR-3: Theme changes in settings must apply immediately
    • FR-4: All text must maintain readability in both themes

    Non-Goals

    • System theme auto-detection (future enhancement)
    • Custom color schemes beyond light/dark
    • Per-component theme overrides

    Technical Considerations

    • Use existing OpenTUI theming capabilities if available
    • Consider creating a ThemeContext for React components
    • Minimize re-renders when theme changes

    Success Metrics

    • All components render correctly in dark mode
    • No accessibility contrast issues
    • Theme persists across sessions

    Open Questions

    • Should we detect system theme preference automatically in v2? [/PRD]

    Checklist

    Before outputting the PRD:

    • Asked clarifying questions with lettered options
    • Asked about quality gates (REQUIRED)
    • Asked follow-up questions when needed
    • Quality Gates section included with project-specific commands
    • User stories are small and independently completable
    • User stories do NOT include quality gate commands (they're in the Quality Gates section)
    • Functional requirements are numbered and unambiguous
    • Non-goals section defines clear boundaries
    • PRD is wrapped in [PRD]...[/PRD] markers

    Reproducido de subsy/ralph-tui bajo licencia MIT. Leer esta página en markdown.

    Archivos

    1 archivo en el paquete. Solo se lee SKILL.md al activarse — las referencias se cargan si el skill decide que las necesita.

    Antes de instalar

    Pensado para usarse junto a ralph-tui create-prd y herramientas de conversión como ralph-tui-create-json o ralph-tui-create-beads.

    Necesita en el PATH:bunnpmpnpm

    Detalles

    Creador
    subsy
    Categoría
    Productividad
    Licencia
    MIT
    Recursos incluidos
    Solo SKILL.md
    Repositorio
    subsy/ralph-tui
    Código fuente
    Ver SKILL.md

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