Does it provide updates on its progress?

Yes, upon finishing a plan, the skill provides a summary of the implementation, notes any deviations from the plan, and suggests the next steps forward.

How does this skill manage the development lifecycle?

It uses a directory-based workflow where it reads designs from 'prose/designs/' and plans from 'prose/plans/', moving them to a 'completed' folder once implemented.

Can I use this for legacy codebase refactoring?

Absolutely. By creating a plan in the 'prose/plans/' directory, you can guide Claude to systematically transition a legacy state to a new desired design.

Design-Driven Code Architect

Name: Design-Driven Code Architect
Author: nibsbin

bynibsbin

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Productivity & Workflow

Translates technical design documents and implementation plans into clean, production-ready code using a structured workflow.

About

This skill empowers Claude to act as a disciplined software engineer by following a rigorous document-driven development process. It organizes the coding lifecycle into distinct stages: reading architectural designs from designated directories, executing step-by-step implementation plans, and archiving completed tasks to maintain a clear audit trail. By enforcing KISS (Keep It Simple, Stupid) and DRY (Don't Repeat Yourself) principles, this skill ensures that all AI-generated code is maintainable, efficient, and strictly aligned with the project's original specifications.

Key Features

Structured workflow management via dedicated 'designs' and 'plans' directories
Comprehensive implementation summaries including deviations and future roadmaps
Automated translation of prose design documents into functional source code
Strict adherence to KISS and DRY software engineering principles
Automatic progress tracking by archiving completed implementation plans
7 GitHub stars

Use Cases

Managing multi-step refactoring projects with clear state transitions
Executing complex feature builds based on pre-written technical specifications
Standardizing AI coding behavior across teams to ensure architectural consistency

About

Key Features

Structured workflow management via dedicated 'designs' and 'plans' directories
Comprehensive implementation summaries including deviations and future roadmaps
Automated translation of prose design documents into functional source code
Strict adherence to KISS and DRY software engineering principles
Automatic progress tracking by archiving completed implementation plans
7 GitHub stars

Use Cases

Managing multi-step refactoring projects with clear state transitions
Executing complex feature builds based on pre-written technical specifications
Standardizing AI coding behavior across teams to ensure architectural consistency