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@cloudkinetix/bmad-enhanced

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Cloud-Kinetix enhanced fork of BMAD-METHOD - Breakthrough Method of Agile AI-driven Development with robust versioning and unified validation.

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# Semantic Analysis Review Document **Analysis ID**: {{analysisId}} **Generated**: {{timestamp}} **Instructions**: This document is for your review and enhancement of the AI analysis. Your feedback will improve future analyses. ## Quick Agreement Scale For each section below, indicate your agreement level: - **Agree** - Analysis is accurate - ⚠️ **Partially Agree** - Some corrections needed - **Disagree** - Significant issues with analysis ## Dependency Analysis Review ### 1. File Dependencies **AI's Analysis**: {{fileDependencies.summary}} **Your Agreement**: [ ] Agree [ ] Partial [ ] Disagree **Corrections**: ```yaml # List any files the AI missed or incorrectly identified missed_files: - incorrect_files: - ``` ### 2. Hidden Dependencies **AI Found**: {{hiddenDependencies.length}} hidden dependencies {{#each hiddenDependencies}} - {{title}}: {{summary}} {{/each}} **Your Agreement**: [ ] Agree [ ] Partial [ ] Disagree **Missed Dependencies**: ```yaml # Describe any dependencies the AI missed missed: - description: components: [] reason: ``` ### 3. Risk Assessment **AI's Risk Level**: {{riskAssessment.level}} **Reasoning**: {{riskAssessment.reasoning}} **Your Assessment**: [ ] Too High [ ] Accurate [ ] Too Low **Reasoning**: ```yaml # Explain your risk assessment if different risk_level: # LOW/MEDIUM/HIGH reasoning: | additional_risks: - ``` ## Enhanced Wave Planning ### Current Plan Issues ```yaml # Describe any issues with the proposed wave plan issues: - wave: problem: impact: ``` ### Improved Wave Composition ```yaml # Propose your preferred wave composition wave_1: items: [] reasoning: "" estimated_duration: "" wave_2: items: [] reasoning: "" estimated_duration: "" wave_3: items: [] reasoning: "" estimated_duration: "" ``` ## Additional Context ### Architecture Notes ```yaml # Provide architectural context the AI should know architecture: patterns_used: - service_boundaries: - critical_components: - ``` ### Business Logic Clarifications ```yaml # Clarify business rules or logic business_rules: - rule: impact: components: [] ``` ### Historical Context ```yaml # Note past issues or patterns relevant to this work past_issues: - description: when: resolution: recurring_patterns: - pattern: frequency: impact: ``` ## Feedback for AI Improvement ### What the AI Got Right ```yaml # Highlight accurate insights accurate_insights: - - particularly_helpful: - ``` ### What the AI Missed ```yaml # Note important missed aspects missed_aspects: - category: # dependencies/risks/architecture/business_logic description: importance: # critical/important/nice_to_have ``` ### Suggestions for Better Analysis ```yaml # How could the AI improve its analysis approach improvements: - area: # dependency_detection/risk_assessment/wave_planning suggestion: example: ``` ## Overall Assessment ### Agreement Summary - File Dependencies: [ ] High [ ] Medium [ ] Low - Semantic Dependencies: [ ] High [ ] Medium [ ] Low - Hidden Dependencies: [ ] High [ ] Medium [ ] Low - Wave Planning: [ ] High [ ] Medium [ ] Low - Risk Assessment: [ ] High [ ] Medium [ ] Low ### Would you like to: - [ ] Proceed with AI's analysis as-is - [ ] Proceed with your corrections applied - [ ] Request re-analysis with your feedback - [ ] Cancel and perform manual analysis ### Final Comments ```yaml # Any additional feedback or context comments: | ``` --- **Thank you for your review!** Your feedback helps improve the AI's analysis capabilities. To submit this review: 1. Save this file with your changes 2. The system will automatically process your feedback 3. If you requested re-analysis, it will begin immediately