Paul
Community@semprini · New Zealand
Agent Skills by Paul
Showing 26 vetted skills indexed across 1 GitHub repositories.
Sempriniorientation
Provide role-specific introductions to the MD-DDL framework and its agents.
Sempriniworked-examples
Walk through MD-DDL reference examples to teach practical application.
Sempriniconcept-explorer
Explain MD-DDL concepts, features, and design decisions through analogies and comparisons.
Sempriniplatform-setup
Guide AI agent setup and daily workflows in VS Code Copilot and Claude Code.
Sempriniadoption-planning
Assess current data landscape and create a phased MD-DDL adoption roadmap.
Semprinidomain-scoping
Guide data domain definition through interviews and modeling strategy decisions.
Semprinientity-modelling
Classify concepts as entities or enumerations and define inheritance relationships.
Semprinistandards-alignment
Align data models with industry standards like BIAN and ISO 20022.
Semprinilifecycle
Promote data domains through lifecycle stages and bump semantic versions for MD-DDL definitions.
Semprinirelationship-events
Model semantic relationships and business events with MD-DDL specifications.
Semprinisource-mapping
Declare source systems, author source.md files, and define field-level transformations.
Semprinischema-import
Convert database schemas and ETL logic into draft MD-DDL domain models.
Semprinibaseline-capture
Document existing data assets as MD-DDL baseline files.
Semprinidomain-review
Review MD-DDL domain models for structural correctness and modeling quality.
Semprinipreflight
Validate MD-DDL models with five mechanical checks on YAML, Mermaid, links, references, and versioning.
Semprinireconciliation
Compare generated MD-DDL artifacts against baseline documentation or deployed schemas.
Sempriniknowledge-graph
Generate Neo4j Cypher DDL schemas from MD-DDL domain models.
Semprininormalized
Generate 3NF physical database schemas and data contracts from conceptual models.
Sempriniwide-column
Transform MD-DDL models into denormalized wide-column schemas for analytics.
Semprinidimensional
Maps conceptual entities to physical star schema dimensions, facts, and bridges.
Sempriniarchitecture
Explain MD-DDL architecture concepts and compare with Data Mesh and Data Fabric.
Sempriniproduct-design
Design and declare MD-DDL data products from existing domain models.
Sempriniodps-alignment
Translate MD-DDL data product declarations into ODPS v4.0 YAML manifests.
Sempriniregulatory-compliance
Applies regulatory and compliance metadata to data models by jurisdiction and framework.