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improve-code-readability

Identify refactorings for Go code to improve readability while preserving behavior and tests.

Updated Feb 25, 2026
Search Tags:#error handling#code readability#go#refactor#naming#inlining#call-depth
One-click install
npx skills add https://github.com/futuretea/x-project --skill improve-code-readability
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: improve-code-readability
Source: https://github.com/futuretea/x-project/tree/main/.claude/skills/improve-code-readability
Command: npx skills add https://github.com/futuretea/x-project --skill improve-code-readability

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams identify and remediate structural issues that make code hard for humans to read, such as over-abstraction, tangled responsibilities, low locality of related logic, and unclear naming conventions.

Core Features & Use Cases

  • Detect over-abstraction and deep call chains: identify call-depth hotspots, single-line wrapper functions, and layers that add little value.
  • Improve locality and cohesion: recommend inlining, merging, or relocating logic so related behavior is visible in one place.
  • Unify error handling and naming: standardize whether functions return errors or log them, and propose concise, intention-revealing names.
  • Use case: audit a Go backend package where business flow is split across handlers, middleware, and tiny helpers, then produce prioritized, behavior-preserving refactor suggestions.

Quick Start

Analyze the target package and produce a prioritized list of specific refactor actions (inline, merge, rename, or unify error handling) with justification and test-preservation notes.

Frequently Asked Questions about improve-code-readability

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

FAQPage Schema
How do I refactor over-abstraction and reduce excessive call depth in Go?▼

To refactor over-abstraction in Go, analyze function call graphs to identify single-line wrappers and deep call chains, then apply safe transformations like inlining or merging to increase locality and readability.

What is the best way to improve code locality and cohesion during a refactor?▼

Improving code locality involves relocating, merging, or inlining dispersed logic so related behavior is visible in one place, directly reducing comprehension issues caused by scattered helper functions and middleware.

How do I unify inconsistent error handling in Go codebases?▼

Unifying inconsistent error handling requires standardizing whether functions return errors or log them, then applying unified error propagation transformations across the targeted package while preserving existing tests.

Can I use this refactoring approach for codebases outside of Go?▼

Yes, while the core analysis targets Go backend packages, the refactoring heuristics for naming, call-depth reduction, and locality improvements apply to similar codebases during audits and code reviews.

How do I identify naming issues and unclear responsibilities in a code review?▼

Identify naming issues and unclear responsibilities by applying naming heuristics to propose concise, intention-revealing names, and analyzing function responsibilities to detect tangled logic that hinders readability.

What are the limitations when using behavior-preserving refactors on deep call chains?▼

The primary limitation is ensuring behavior preservation; transformations like inlining or renaming deep call chains must not alter existing function outputs, requiring careful analysis to avoid breaking logic.

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