--- name: data-architect description: Generate or update data-architect/analysis.md addressing guidance-specification discussion points for data architecture perspective argument-hint: "optional topic - uses existing framework if available" allowed-tools: Task(conceptual-planning-agent), TodoWrite(*), Read(*), Write(*) --- ## 📊 **Data Architect Analysis Generator** ### Purpose **Specialized command for generating data-architect/analysis.md** that addresses guidance-specification.md discussion points from data architecture perspective. Creates or updates role-specific analysis with framework references. ### Core Function - **Framework-based Analysis**: Address each discussion point in guidance-specification.md - **Data Architecture Focus**: Data models, pipelines, governance, and analytics perspective - **Update Mechanism**: Create new or update existing analysis.md - **Agent Delegation**: Use conceptual-planning-agent for analysis generation ### Analysis Scope - **Data Model Design**: Efficient and scalable data models and schemas - **Data Flow Design**: Data collection, processing, and storage workflows - **Data Quality Management**: Data accuracy, completeness, and consistency - **Analytics and Insights**: Data analysis and business intelligence solutions ### Role Boundaries & Responsibilities #### **What This Role OWNS (Canonical Data Model - Source of Truth)** - **Canonical Data Model**: The authoritative, system-wide data schema representing domain entities and relationships - **Entity-Relationship Design**: Defining entities, attributes, relationships, and constraints - **Data Normalization & Optimization**: Ensuring data integrity, reducing redundancy, and optimizing storage - **Database Schema Design**: Physical database structures, indexes, partitioning strategies - **Data Pipeline Architecture**: ETL/ELT processes, data warehousing, and analytics pipelines - **Data Governance**: Data quality standards, retention policies, and compliance requirements #### **What This Role DOES NOT Own (Defers to Other Roles)** - **API Data Contracts**: Public-facing request/response schemas exposed by APIs → Defers to **API Designer** - **System Integration Patterns**: How services communicate at the macro level → Defers to **System Architect** - **UI Data Presentation**: How data is displayed to users → Defers to **UI Designer** #### **Handoff Points** - **TO API Designer**: Provides canonical data model that API Designer translates into public API data contracts (as projection/view) - **TO System Architect**: Provides data flow requirements and storage constraints to inform system design - **FROM System Architect**: Receives system-level integration requirements and scalability constraints ## ⚙️ **Execution Protocol** ### Phase 1: Session & Framework Detection ```bash # Check active session and framework CHECK: find .workflow/active/ -name "WFS-*" -type d IF active_session EXISTS: session_id = get_active_session() brainstorm_dir = .workflow/active/WFS-{session}/.brainstorming/ CHECK: brainstorm_dir/guidance-specification.md IF EXISTS: framework_mode = true load_framework = true ELSE: IF topic_provided: framework_mode = false # Create analysis without framework ELSE: ERROR: "No framework found and no topic provided" ``` ### Phase 2: Analysis Mode Detection ```bash # Determine execution mode IF framework_mode == true: mode = "framework_based_analysis" topic_ref = load_framework_topic() discussion_points = extract_framework_points() ELSE: mode = "standalone_analysis" topic_ref = provided_topic discussion_points = generate_basic_structure() ``` ### Phase 3: Agent Execution with Flow Control **Framework-Based Analysis Generation** ```bash Task(conceptual-planning-agent): " [FLOW_CONTROL] Execute data-architect analysis for existing topic framework ## Context Loading ASSIGNED_ROLE: data-architect OUTPUT_LOCATION: .workflow/active/WFS-{session}/.brainstorming/data-architect/ ANALYSIS_MODE: {framework_mode ? "framework_based" : "standalone"} ## Flow Control Steps 1. **load_topic_framework** - Action: Load structured topic discussion framework - Command: Read(.workflow/active/WFS-{session}/.brainstorming/guidance-specification.md) - Output: topic_framework_content 2. **load_role_template** - Action: Load data-architect planning template - Command: bash($(cat ~/.claude/workflows/cli-templates/planning-roles/data-architect.md)) - Output: role_template_guidelines 3. **load_session_metadata** - Action: Load session metadata and existing context - Command: Read(.workflow/active/WFS-{session}/workflow-session.json) - Output: session_context ## Analysis Requirements **Framework Reference**: Address all discussion points in guidance-specification.md from data architecture perspective **Role Focus**: Data models, pipelines, governance, analytics platforms **Structured Approach**: Create analysis.md addressing framework discussion points **Template Integration**: Apply role template guidelines within framework structure ## Expected Deliverables 1. **analysis.md**: Comprehensive data architecture analysis addressing all framework discussion points 2. **Framework Reference**: Include @../guidance-specification.md reference in analysis ## Completion Criteria - Address each discussion point from guidance-specification.md with data architecture expertise - Provide data model designs, pipeline architectures, and governance strategies - Include scalability, performance, and quality considerations - Reference framework document using @ notation for integration " ``` ## 📋 **TodoWrite Integration** ### Workflow Progress Tracking ```javascript TodoWrite({ todos: [ { content: "Detect active session and locate topic framework", status: "in_progress", activeForm: "Detecting session and framework" }, { content: "Load guidance-specification.md and session metadata for context", status: "pending", activeForm: "Loading framework and session context" }, { content: "Execute data-architect analysis using conceptual-planning-agent with FLOW_CONTROL", status: "pending", activeForm: "Executing data-architect framework analysis" }, { content: "Generate analysis.md addressing all framework discussion points", status: "pending", activeForm: "Generating structured data-architect analysis" }, { content: "Update workflow-session.json with data-architect completion status", status: "pending", activeForm: "Updating session metadata" } ] }); ``` ## 📊 **Output Structure** ### Framework-Based Analysis ``` .workflow/active/WFS-{session}/.brainstorming/data-architect/ └── analysis.md # Structured analysis addressing guidance-specification.md discussion points ``` ### Analysis Document Structure ```markdown # Data Architect Analysis: [Topic from Framework] ## Framework Reference **Topic Framework**: @../guidance-specification.md **Role Focus**: Data Architecture perspective ## Discussion Points Analysis [Address each point from guidance-specification.md with data architecture expertise] ### Core Requirements (from framework) [Data architecture perspective on requirements] ### Technical Considerations (from framework) [Data model, pipeline, and storage considerations] ### User Experience Factors (from framework) [Data access patterns and analytics user experience] ### Implementation Challenges (from framework) [Data migration, quality, and governance challenges] ### Success Metrics (from framework) [Data quality metrics and analytics success criteria] ## Data Architecture Specific Recommendations [Role-specific data architecture recommendations and solutions] --- *Generated by data-architect analysis addressing structured framework* ``` ## 🔄 **Session Integration** ### Completion Status Update ```json { "data_architect": { "status": "completed", "framework_addressed": true, "output_location": ".workflow/active/WFS-{session}/.brainstorming/data-architect/analysis.md", "framework_reference": "@../guidance-specification.md" } } ``` ### Integration Points - **Framework Reference**: @../guidance-specification.md for structured discussion points - **Cross-Role Synthesis**: Data architecture insights available for synthesis-report.md integration - **Agent Autonomy**: Independent execution with framework guidance