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Create intelligent brainstorming engine for /oden:brainstorm #10

Description

@israads

Task: Intelligent Brainstorming Engine

Description

Create the /oden:brainstorm command that provides interactive ideation sessions before PRD creation. This engine should ask contextual questions, suggest alternatives, identify risks, and seamlessly transition to PRD creation with refined requirements.

Functional Requirements

  • Context-Aware Questions: Generate questions based on project type and existing documentation
  • Alternative Suggestions: Propose different approaches with trade-off analysis
  • Risk Identification: Surface potential challenges and dependencies early
  • Interactive Conversation: Continue dialogue until user is confident about direction
  • PRD Integration: Seamlessly transition to enhanced /oden:prd workflow

Technical Implementation

Files to Create/Modify:

  • .claude/commands/oden/brainstorm.md - Command definition
  • lib/commands/brainstorm.js - Main command implementation
  • lib/brainstorm/question-generator.js - Dynamic question generation
  • lib/brainstorm/context-analyzer.js - Project and domain context analysis
  • lib/brainstorm/suggestion-engine.js - Alternative approach suggestions
  • data/brainstorm-templates.json - Question templates and patterns

Architecture:

  1. Context Analysis: Read existing docs, project structure, tech stack
  2. Question Generation: Dynamic questions based on feature type and context
  3. Conversation Flow: Iterative refinement through intelligent follow-ups
  4. Knowledge Base: Industry best practices and common pitfalls database
  5. PRD Bridge: Structured handoff to PRD creation process

Acceptance Criteria

Core Functionality:

  • /oden:brainstorm "user authentication" starts interactive session
  • Asks 5-8 intelligent questions adapted to project context
  • Follows up when answers need clarification or expansion
  • Suggests alternative approaches with pros/cons analysis
  • Identifies potential risks and dependencies
  • Provides competitive analysis insights when relevant
  • Transitions smoothly to /oden:prd with refined requirements

Question Intelligence:

  • Questions adapt based on detected project type (web app, mobile, API)
  • References existing project patterns and documentation
  • Asks about scalability, security, and performance considerations
  • Probes for edge cases and error scenarios
  • Considers integration points with existing systems
  • Explores user experience and accessibility requirements

Conversation Flow:

  • Maintains context throughout the session
  • Asks follow-up questions when answers are vague
  • Suggests considerations user might not have thought of
  • Provides examples and references where helpful
  • Allows users to explore tangents and return to main flow
  • Summarizes decisions and rationale at the end

Knowledge Integration:

  • References competitive analysis data for suggestions
  • Incorporates industry best practices and standards
  • Suggests relevant tools and technologies
  • Identifies potential compliance or regulatory requirements
  • Highlights common implementation pitfalls

Dependencies

  • Internal: Existing project documentation, competitive analysis data
  • External: None (fully local operation)
  • Integration: Enhanced /oden:prd command for seamless transition

Implementation Notes

  • Build conversation templates for common feature types
  • Use project context to customize question relevance
  • Implement conversation state management for continuity
  • Create knowledge base of best practices and patterns
  • Design clear transition mechanism to PRD creation

Conversation Templates

Authentication Features:

  • What authentication methods do you want to support?
  • How will you handle user registration and verification?
  • What session management approach fits your architecture?
  • How will you secure sensitive user data?
  • What compliance requirements apply (GDPR, SOC2)?

API Development:

  • What data will your API expose and manage?
  • How will you handle authentication and authorization?
  • What rate limiting and scaling strategies do you need?
  • How will you version your API for future changes?
  • What monitoring and analytics do you require?

User Interface:

  • What devices and screen sizes need support?
  • How important is accessibility compliance?
  • What user interaction patterns fit your use case?
  • How will you handle offline functionality?
  • What personalization features are needed?

Risks

  • Medium: Questions might be too generic or irrelevant
  • Medium: Conversation could become too lengthy or unfocused
  • Low: Integration with PRD creation could be clunky

Mitigation Strategies

  • Extensive testing with various project types and features
  • Clear conversation boundaries and time estimates
  • Smooth handoff protocol to PRD creation
  • User feedback collection for question refinement

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