Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
meleantonio avatar

Code Simplifier

  • 2 installs
  • 512 repo stars
  • Updated February 11, 2026
  • meleantonio/chernycode

Simplifies and cleans up Python code after changes by reducing complexity, applying Pythonic patterns, and removing dead code.

About

Cleans up finished code by breaking up long functions, reducing nesting, applying comprehensions and f-strings, and removing unused imports and dead code. A developer runs it after a feature or fix to improve readability and maintainability.

  • Reduces complexity: shorter functions, max 3 nesting levels, named constants
  • Applies Pythonic patterns and removes unused/commented-out code

Code Simplifier by the numbers

  • 2 all-time installs (skills.sh)
  • Ranked #947 of 1,352 Code Review & Quality skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/meleantonio/chernycode --skill code-simplifier

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs2
repo stars512
Last updatedFebruary 11, 2026
Repositorymeleantonio/chernycode

What it does

Simplifies and cleans up Python code after changes by reducing complexity, applying Pythonic patterns, and removing dead code.

Files

SKILL.mdMarkdownGitHub ↗

Code Simplifier

Clean up and simplify code after making changes.

When to Use

Run this skill after completing a feature or fix to ensure the code is clean, readable, and maintainable.

Simplification Goals

Reduce Complexity

  • Break long functions into smaller, focused ones
  • Reduce nesting depth (max 3 levels)
  • Simplify complex conditionals
  • Extract magic numbers to named constants

Improve Readability

  • Use descriptive variable and function names
  • Add clarifying comments for non-obvious logic
  • Ensure consistent formatting
  • Remove unnecessary comments

Apply Pythonic Patterns

  • Use list/dict/set comprehensions where appropriate
  • Use with statements for resource management
  • Use enumerate() instead of manual indexing
  • Use zip() for parallel iteration
  • Use f-strings for formatting
  • Use pathlib for file paths

Clean Up

  • Remove unused imports
  • Remove unused variables
  • Remove commented-out code
  • Remove redundant code paths
  • Consolidate duplicate logic

Workflow

1. Identify Changed Files

  • Focus on files modified in the current session
  • Or specify files/directories as arguments

2. Analyze Each File

  • Check for simplification opportunities
  • Prioritize high-impact improvements

3. Apply Simplifications

  • Make incremental changes
  • Preserve original behavior
  • Run tests after each change

4. Format and Lint

  • Run ruff format .
  • Run ruff check --fix .

5. Verify

  • Run tests: pytest
  • Ensure behavior unchanged

Arguments

Optionally specify files or directories to simplify.

Usage:

  • /code-simplifier - Simplify recently changed files
  • /code-simplifier src/module.py - Simplify specific file
  • /code-simplifier src/ - Simplify entire directory

Example Transformations

Before:

result = []
for i in range(len(items)):
    if items[i].is_valid == True:
        result.append(items[i].value)

After:

result = [item.value for item in items if item.is_valid]

Before:

if x != None:
    if y != None:
        if z != None:
            process(x, y, z)

After:

if all(v is not None for v in (x, y, z)):
    process(x, y, z)

Related skills

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.