adoption-planning

Assess current data landscape and create a phased MD-DDL adoption roadmap.

1|Updated Feb 7, 2026

Search Tags:#migration #roadmap #data governance #adoption #data strategy #md-ddl

Ready to run

npx skills add https://github.com/Semprini/md-ddl --skill adoption-planning

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: adoption-planning
Source: https://github.com/Semprini/md-ddl/tree/main/agents/agent-guide/skills/adoption-planning
Command: npx skills add https://github.com/Semprini/md-ddl --skill adoption-planning

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users navigate the complexities of adopting MD-DDL into an existing data environment by providing a structured approach to planning and assessment.

Core Features & Use Cases

Current State Assessment: Guides users to identify and understand existing data assets, platforms, and the number of business domains involved.
Target State Definition: Assists in defining the desired maturity level and rollout scope (single-domain pilot vs. multi-domain).
Roadmap Creation: Outlines a per-domain adoption roadmap including baselining, target maturity, milestones, and risks.
Use Case: A data architect needs to integrate MD-DDL into a company with multiple legacy data warehouses and ETL pipelines. This skill will help them assess the current state, define a target maturity level, and create a phased rollout plan for different business domains.

Quick Start

Use the adoption-planning skill to assess our current data landscape and create an adoption roadmap for MD-DDL.

Frequently Asked Questions about adoption-planning

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

FAQPage Schema

How do I create an adoption roadmap for MD-DDL in a legacy data environment?▼

To create an MD-DDL adoption roadmap, assess your current data landscape, identify starting business domains, define the target maturity level, and outline a phased per-domain rollout with baselined milestones and risks.

What is the MD-DDL adoption maturity model and how does it work?▼

The MD-DDL adoption maturity model is a structured framework that guides users through assessing their current data landscape and defining a desired target state for their data strategy and governance rollout.

Can I use this approach to plan a multi-domain data migration strategy?▼

Yes, you can use this approach to plan a multi-domain data migration strategy. It helps define your target state rollout scope, whether you are executing a single-domain pilot or scaling across multiple business domains.

Does MD-DDL adoption planning work for companies with multiple legacy data warehouses?▼

Yes, MD-DDL adoption planning works for companies with multiple legacy data warehouses. It guides data architects to evaluate existing platforms, identify business domains, and integrate new data strategy patterns effectively.

What is the best way to determine starting domains for a data governance rollout?▼

The best way to determine starting domains for a data governance rollout is to assess your current data landscape and apply the appropriate starting-point pattern. This identifies which business domains are ready for initial MD-DDL integration.