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code-simplifier

Simplify and clean up code after changes are complete. Reduces complexity, improves readability, and ensures consistency.

不碰外部(只输出文字)无严重或高危命中brycewang-stanford/Auto-Empirical-Research-Skills

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技能内容

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
  1. Analyze Each File
  • Check for simplification opportunities
  • Prioritize high-impact improvements
  1. Apply Simplifications
  • Make incremental changes
  • Preserve original behavior
  • Run tests after each change
  1. Format and Lint
  • Run ruff format .
  • Run ruff check --fix .
  1. 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)

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