refactoring-state-machine-skill

Guide bounded codebase refactoring through a state-machine workflow with validation.

1|Updated Apr 19, 2026
One-click install
npx skills add https://github.com/StepowskiEric/Jerrys-agent-skills --skill refactoring-state-machine-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: refactoring-state-machine-skill
Source: https://github.com/StepowskiEric/Jerrys-agent-skills/tree/main/.agents/skills/execution/refactoring-state-machine-skill
Command: npx skills add https://github.com/StepowskiEric/Jerrys-agent-skills --skill refactoring-state-machine-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams improve code structure safely by guiding a bounded, explainable refactoring session that prevents endless cleanup and preserves behavior.

Core Features & Use Cases

  • Mandatory target definition: requires a clear refactor-target.md capturing goal, primary smells, blast radius, and visibility of affected surfaces.
  • State-machine protocol: defines Intake, Discovery, Safety/Plan, Execution Unlock, Verification, and Stop states to structure and gate work.
  • Budgeted transformations: enforces a default limit on structural changes to avoid scope creep and regressions.
  • Safety, validation & governance: requires explicit validation, tests, and guardrails to ensure behavior is preserved.
  • Consumer discovery & risk control: bounds impact before touching shared surfaces and helps identify unknown consumers.
  • Stop conditions & circuit breakers: stops work when targets are achieved or risk becomes unacceptable.
  • Use cases: effective for incremental refactors in large codebases, targeted interface improvements, and architecture cleanups without destabilizing behavior.

Quick Start

Provide a bounded refactor session by defining a refactor-target.md, discovering consumers, planning a small sequence of changes, executing within the budget, and verifying improvements.

Frequently Asked Questions about refactoring-state-machine-skill

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

FAQPage Schema
How do I safely refactor a large codebase without causing regressions?

Safe codebase refactoring requires a bounded protocol that defines a primary structural goal, discovers affected consumers, enforces transformation budgets, and mandates validation checks to preserve behavior.

What is a state-machine protocol for controlling software architecture refactors?

A state-machine protocol for refactoring structures work through gated phases like Intake, Discovery, Safety Planning, and Execution Unlock, ensuring transformations are traceable, budgeted, and rollback-ready.

How do I stop endless cleanup cycles during a code-quality improvement session?

To stop endless cleanup during code-quality improvements, enforce explicit stop conditions and a default transformation budget that halts work when the primary target is achieved or risk becomes unacceptable.

How do I identify the blast radius before renaming modules or extracting seams?

Identifying blast radius before renaming modules or extracting seams requires consumer discovery during the planning phase to bound impact and detect unknown consumers before touching shared surfaces.

Can I use a bounded refactoring workflow for incremental interface improvements?

Yes, a bounded refactoring workflow suits incremental interface improvements and architecture cleanups by mandating a target definition file, limiting structural changes to a set budget, and requiring verification checks.

When should I not use a state-machine approach for code refactoring?

A state-machine refactoring approach may not suit tasks lacking a single primary structural goal or when rapid, unbounded experimental changes are needed without mandatory validation, traceability, and rollback readiness constraints.