decomposition-planning-roadmap

Plan and prioritize decomposition roadmaps for migrating monolithic codebases to distributed architectures.

1|Updated Feb 21, 2026
One-click install
npx skills add https://github.com/marcius-llmus/skills --skill decomposition-planning-roadmap-marcius-llmus
Or copy as Structured Prompt for Agent
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Skill: decomposition-planning-roadmap
Source: https://github.com/marcius-llmus/skills/tree/main/%28architecture%29/decomposition-planning-roadmap
Command: npx skills add https://github.com/marcius-llmus/skills --skill decomposition-planning-roadmap-marcius-llmus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Decomposition Planning and Roadmap skills provide a structured framework to plan, prioritize, and monitor the migration from monolithic architectures to distributed systems, helping teams align stakeholders and deliver progressive refactors.

Core Features & Use Cases

  • Current state assessment: evaluates component inventories, pattern readiness, domain identification, and service extraction progress to establish a baseline.
  • Pattern-based planning: applies the six decomposition patterns in sequence to guide restructuring and decision making.
  • Prioritization framework: uses risk, value, and dependencies to rank work items for phased execution.
  • Phased roadmaps: generates phased roadmaps with milestones, timelines, and deliverables to guide migration.
  • Architecture stories: creates stories for tracking work and communicating progress to stakeholders.
  • Progress tracking: provides dashboards and metrics to monitor decomposition efforts over time.

Quick Start

Request a complete decomposition roadmap for this codebase to begin planning and tracking the migration.

Frequently Asked Questions about decomposition-planning-roadmap

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

FAQPage Schema
How do I plan a migration from a monolithic architecture to distributed systems?

Migration roadmaps for decomposing monolithic architectures are generated by assessing current state readiness, prioritizing work items using risk and value scoring, and sequencing six decomposition patterns into phased milestones with deliverables.

What is the best way to prioritize service extraction during a codebase decomposition?

Prioritizing service extraction uses a framework that scores work items by risk, value, and dependencies to rank restructuring tasks. This ensures phased execution targets high-impact domains first while managing architectural constraints.

How do I assess current state readiness before extracting microservices from a monolith?

Assessing current state readiness involves evaluating component inventories, domain identification, pattern readiness, and existing service extraction progress. This baseline assessment establishes the foundation for sequencing decomposition patterns and planning phased migrations.

Can I generate architecture stories to track decomposition progress for stakeholders?

Yes, you can generate architecture stories to track decomposition work and communicate progressive refactoring progress to stakeholders. These stories integrate with progress dashboards and metrics to monitor migration efforts over time.

When should I apply decomposition patterns during a distributed architecture migration?

Decomposition patterns should be applied in sequence during current state assessment and restructuring phases. Pattern-based planning guides decision making for domain identification and service extraction, ensuring dependencies are managed throughout the phased roadmap.

What metrics are needed to track monolithic to distributed system migration progress?

Tracking migration progress requires dashboards and metrics that monitor decomposition efforts over time. Progress tracking integrates with architecture stories and phased roadmap milestones to evaluate service extraction and component restructuring against baseline assessments.