standards-alignment

Align data models with industry standards like BIAN and ISO 20022.

1|Updated Feb 7, 2026
One-click install
npx skills add https://github.com/Semprini/md-ddl --skill standards-alignment
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: standards-alignment
Source: https://github.com/Semprini/md-ddl/tree/main/agents/agent-ontology/skills/standards-alignment
Command: npx skills add https://github.com/Semprini/md-ddl --skill standards-alignment

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you map your data models to established industry standards, ensuring consistency, interoperability, and adherence to best practices.

Core Features & Use Cases

  • Standard Identification: Find relevant industry standards (like BIAN, ISO 20022, FHIR, ACORD, TM Forum) for your data entities and domains.
  • Mapping Guidance: Provides detailed instructions on how to reference standards in your models, including handling approximate or partial matches.
  • Reconciliation Protocol: Offers a structured approach to resolve differences between your model's decomposition and a standard's decomposition.
  • Use Case: When modeling a 'Customer' entity in a banking context, this skill helps you identify the corresponding 'Party' or 'CustomerRole' in BIAN, and provides guidance on how to document the mapping and any differences.

Quick Start

Use the standards alignment skill to find the BIAN equivalent for a 'Customer' entity.

Frequently Asked Questions about standards-alignment

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I map my data models to industry standards like BIAN or ISO 20022?

To align data models with industry standards, this skill identifies relevant frameworks like BIAN or ISO 20022 for your entities and provides structured guidance on referencing them within your models. It helps populate reference columns to ensure consistency and interoperability.

What is the best way to resolve semantic differences when aligning models with external standards?

To resolve semantic differences during standards alignment, this skill applies a structured reconciliation protocol. This approach systematically evaluates and resolves mismatches between your model's decomposition and the standard's decomposition.

Can I document partial or approximate matches when referencing standards like FHIR or ACORD?

Yes, you can document partial or approximate matches when referencing standards like FHIR or ACORD. The skill provides specific mapping guidance to handle and accurately record these incomplete alignments within your data models.

Does this skill support data model alignment for the TM Forum framework?

Yes, this skill supports data model alignment for the TM Forum framework. It facilitates identifying, evaluating, and referencing TM Forum standards alongside BIAN, ISO 20022, FHIR, and ACORD within your data models.

How do I identify the correct standard entity for my data model?

To identify the correct standard entity for your data model, the skill evaluates your existing entities and domains against named industry standards. For example, it maps a banking 'Customer' entity to the corresponding 'Party' or 'CustomerRole' in BIAN.