gxpm-refactor-safely

Analyze dependency graphs to plan safe code refactors preserving call-site semantics.

1|Updated Apr 24, 2026
One-click install
npx skills add https://github.com/laozhong86/gxpm --skill gxpm-refactor-safely
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gxpm-refactor-safely
Source: https://github.com/laozhong86/gxpm/tree/main/skills/gxpm-refactor-safely
Command: npx skills add https://github.com/laozhong86/gxpm --skill gxpm-refactor-safely

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Plan and execute safe refactoring by analyzing dependencies to preserve call-site semantics across a codebase.

Core Features & Use Cases

  • Dependency-aware refactor planning: rename, extract, split, move, or simplify code without breaking callers.
  • Incremental changes with validation: apply small changes, run tests, and verify diffs before proceeding.
  • Guardrails for safety: detect high-risk edits and suggest alternatives.

Quick Start

Start by loading /gxpm-explore-codebase to understand the target codebase, then trigger a dependency-aware refactor plan to rename, extract, or move symbols safely.

Frequently Asked Questions about gxpm-refactor-safely

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

FAQPage Schema
How do I plan a safe code refactor without breaking callers across a codebase?

Plan safe refactors by analyzing dependency graphs to preserve call-site semantics across your codebase. This approach ensures behavior remains intact by enforcing automated validation and incremental application before finalizing any changes.

What's the best way to rename or move code symbols safely?

The best way to rename or move code symbols safely involves dependency-aware planning to track all call-sites and preserve existing semantics. Apply changes incrementally, verify diffs, and run tests post-change to guarantee no broken references.

How does dependency graph analysis help with code extraction and splits?

Dependency graph analysis identifies all affected call-sites before code extraction or splits, ensuring the refactored symbols maintain their original behavior. It validates high-risk edits and applies changes incrementally to prevent runtime errors.

Can I use automated validation to simplify code without changing behavior?

Yes, you can simplify code without changing behavior by using dependency insights to map call-site semantics and enforcing automated validation. Apply incremental edits and verify them with tests and diffs to ensure the simplification is completely safe.

When should I avoid doing a large code refactor in one pass?

Avoid large code refactors in one pass when dependency analysis detects high-risk edits across a codebase. Instead, use incremental application with post-change test verification to ensure call-site semantics remain intact at each step.