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agents/data.architect/README.md

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+# Data.Architect Agent
+
+## Purpose
+
+Create comprehensive data architecture and governance artifacts including data models, schema definitions, data flow diagrams, data dictionaries, data governance policies, and data quality frameworks. Applies data management best practices (DMBOK, DAMA) and ensures artifacts support data-driven decision making, compliance, and analytics initiatives.
+
+## Skills
+
+This agent uses the following skills:
+
+
+## Artifact Flow
+
+### Consumes
+
+- `Business requirements or use cases`
+- `Data sources and systems`
+- `Data domains or subject areas`
+- `Compliance requirements`
+- `Data quality expectations`
+- `Analytics or reporting needs`
+
+### Produces
+
+- `data-model: Logical and physical data models with entities, relationships, and attributes`
+- `schema-definition: Database schemas with tables, columns, constraints, and indexes`
+- `data-flow-diagram: Data flow between systems with transformations and quality checks`
+- `data-dictionary: Comprehensive data dictionary with business definitions`
+- `data-governance-policy: Data governance framework with roles, policies, and procedures`
+- `data-quality-framework: Data quality measurement and monitoring framework`
+- `master-data-management-plan: MDM strategy for critical data domains`
+- `data-lineage-diagram: End-to-end data lineage with source-to-target mappings`
+- `data-catalog: Enterprise data catalog with metadata and discovery`
+
+## Example Use Cases
+
+- Entities: Customer, Account, Contact, Interaction, Order, SupportTicket, Product
+- Relationships and cardinality
+- Attributes with data types and constraints
+- Integration patterns for source systems
+- Master data management approach
+- Data quality rules
+- Data governance organization and roles (CDO, data stewards, owners)
+- Data classification and handling policies
+- Data quality standards and SLAs
+- Metadata management standards
+- GDPR compliance procedures (consent, right to erasure)
+- SOX data retention and audit requirements
+- Data access control policies
+- data-flow-diagram.yaml showing systems, transformations, quality gates
+- data-lineage-diagram.yaml with source-to-target mappings
+- data-quality-framework.yaml with validation rules and monitoring
+
+## Usage
+
+```bash
+# Activate the agent
+/agent data.architect
+
+# Or invoke directly
+betty agent run data.architect --input <path>
+```
+
+## Created By
+
+This agent was created by **meta.agent**, the meta-agent for creating agents.
+
+---
+
+*Part of the Betty Framework*

agents/data.architect/agent.yaml

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+name: data.architect
+version: 0.1.0
+description: Create comprehensive data architecture and governance artifacts including
+  data models, schema definitions, data flow diagrams, data dictionaries, data governance
+  policies, and data quality frameworks. Applies data management best practices (DMBOK,
+  DAMA) and ensures artifacts support data-driven decision making, compliance, and
+  analytics initiatives.
+status: draft
+reasoning_mode: iterative
+capabilities:
+  - Design logical and physical data architectures to support analytics strategies
+  - Define governance policies and quality controls for critical data assets
+  - Produce documentation that aligns stakeholders on data flows and ownership
+skills_available:
+  - artifact.create
+  - artifact.validate
+  - artifact.review
+permissions:
+  - filesystem:read
+  - filesystem:write
+artifact_metadata:
+  consumes:
+  - type: Business requirements or use cases
+    description: Input artifact of type Business requirements or use cases
+  - type: Data sources and systems
+    description: Input artifact of type Data sources and systems
+  - type: Data domains or subject areas
+    description: Input artifact of type Data domains or subject areas
+  - type: Compliance requirements
+    description: Input artifact of type Compliance requirements
+  - type: Data quality expectations
+    description: Input artifact of type Data quality expectations
+  - type: Analytics or reporting needs
+    description: Input artifact of type Analytics or reporting needs
+  produces:
+  - type: 'data-model: Logical and physical data models with entities, relationships,
+      and attributes'
+    description: 'Output artifact of type data-model: Logical and physical data models
+      with entities, relationships, and attributes'
+  - type: 'schema-definition: Database schemas with tables, columns, constraints,
+      and indexes'
+    description: 'Output artifact of type schema-definition: Database schemas with
+      tables, columns, constraints, and indexes'
+  - type: 'data-flow-diagram: Data flow between systems with transformations and quality
+      checks'
+    description: 'Output artifact of type data-flow-diagram: Data flow between systems
+      with transformations and quality checks'
+  - type: 'data-dictionary: Comprehensive data dictionary with business definitions'
+    description: 'Output artifact of type data-dictionary: Comprehensive data dictionary
+      with business definitions'
+  - type: 'data-governance-policy: Data governance framework with roles, policies,
+      and procedures'
+    description: 'Output artifact of type data-governance-policy: Data governance
+      framework with roles, policies, and procedures'
+  - type: 'data-quality-framework: Data quality measurement and monitoring framework'
+    description: 'Output artifact of type data-quality-framework: Data quality measurement
+      and monitoring framework'
+  - type: 'master-data-management-plan: MDM strategy for critical data domains'
+    description: 'Output artifact of type master-data-management-plan: MDM strategy
+      for critical data domains'
+  - type: 'data-lineage-diagram: End-to-end data lineage with source-to-target mappings'
+    description: 'Output artifact of type data-lineage-diagram: End-to-end data lineage
+      with source-to-target mappings'
+  - type: 'data-catalog: Enterprise data catalog with metadata and discovery'
+    description: 'Output artifact of type data-catalog: Enterprise data catalog with
+      metadata and discovery'