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refactor-method-complexity-reduce

by @githubv1.0.0
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refactor method complexity reduce from github/awesome-copilot

Code RefactoringCyclomatic ComplexityClean Code PrinciplesMethod ExtractionGitHub
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npx skills add github/awesome-copilot --skill refactor-method-complexity-reduce
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name: refactor-method-complexity-reduce description: 'Refactor given method ${input:methodName} to reduce its cognitive complexity to ${input:complexityThreshold} or below, by extracting helper methods.'

Refactor Method to Reduce Cognitive Complexity

Objective

Refactor the method ${input:methodName}, to reduce its cognitive complexity to ${input:complexityThreshold} or below, by extracting logic into focused helper methods.

Instructions

  1. Analyze the current method to identify sources of cognitive complexity:

    • Nested conditional statements
    • Multiple if-else or switch chains
    • Repeated code blocks
    • Multiple loops with conditions
    • Complex boolean expressions
  2. Identify extraction opportunities:

    • Validation logic that can be extracted into a separate method
    • Type-specific or case-specific processing that repeats
    • Complex transformations or calculations
    • Common patterns that appear multiple times
  3. Extract focused helper methods:

    • Each helper should have a single, clear responsibility
    • Extract validation into separate Validate* methods
    • Extract type-specific logic into handler methods
    • Create utility methods for common operations
    • Use appropriate access levels (static, private, async)
  4. Simplify the main method:

    • Reduce nesting depth
    • Replace massive if-else chains with smaller orchestrated calls
    • Use switch statements where appropriate for cleaner dispatch
    • Ensure the main method reads as a high-level flow
  5. Preserve functionality:

    • Maintain the same input/output behavior
    • Keep all validation and error handling
    • Preserve exception types and error messages
    • Ensure all parameters are properly passed to helpers
  6. Best practices:

    • Make helper methods static when they don't need instance state
    • Use null checks and guard clauses early
    • Avoid creating unnecessary local variables
    • Consider using tuples for multiple return values
    • Group related helper methods together

Implementation Approach

  • Extract helper methods before refactoring the main flow
  • Test incrementally to ensure no regressions
  • Use meaningful names that describe the extracted responsibility
  • Keep extracted methods close to where they're used
  • Consider making repeated code patterns into generic methods

Result

The refactored method should:

  • Have cognitive complexity reduced to the target threshold of ${input:complexityThreshold} or below
  • Be more readable and maintainable
  • Have clear separation of concerns
  • Be easier to test and debug
  • Retain all original functionality

Testing and Validation

CRITICAL: After completing the refactoring, you MUST:

  1. Run all existing tests related to the refactored method and its surrounding functionality
  2. MANDATORY: Explicitly verify test results show "failed=0"
    • NEVER assume tests passed - always examine the actual test output
    • Search for the summary line containing pass/fail counts (e.g., "passed=X failed=Y")
    • If the summary shows any number other than "failed=0", tests have FAILED
    • If test output is in a file, read the entire file to locate and verify the failure count
    • Running tests is NOT the same as verifying tests passed
    • Do not proceed until you have explicitly confirmed zero failures
  3. If any tests fail (failed > 0):
    • State clearly how many tests failed
    • Analyze each failure to understand what functionality was broken
    • Common causes: null handling, empty collection checks, condition logic errors
    • Identify the root cause in the refactored code
    • Correct the refactored code to restore the original behavior
    • Re-run tests and verify "failed=0" in the output
    • Repeat until all tests pass (failed=0)
  4. Verify compilation - Ensure there are no compilation errors
  5. Check cognitive complexity - Confirm the metric is at or below the target threshold of ${input:complexityThreshold}

Confirmation Checklist

  • [ ] Code compiles without errors
  • [ ] Test results explicitly state "failed=0" (verified by reading the output)
  • [ ] All test failures analyzed and corrected (if any occurred)
  • [ ] Cognitive complexity is at or below the target threshold of ${input:complexityThreshold}
  • [ ] All original functionality is preserved
  • [ ] Code follows project conventions and standards

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安装量7.1K
评分0.0 / 5.0
版本1.0.0
更新日期2026年3月16日
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创建2026年3月16日
最后更新2026年3月16日