R
refactor-method-complexity-reduce
by @githubv1.0.0
0.0(0)
refactor method complexity reduce from github/awesome-copilot
安装方式
npx skills add github/awesome-copilot --skill refactor-method-complexity-reducecompare_arrows
Before / After 效果对比
0 组description 文档
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
-
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
-
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
-
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)
-
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
-
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
-
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:
- Run all existing tests related to the refactored method and its surrounding functionality
- 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
- 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)
- Verify compilation - Ensure there are no compilation errors
- 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
forum用户评价 (0)
发表评价
效果
易用性
文档
兼容性
暂无评价,来写第一条吧
统计数据
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
对比案例0 组
用户评分
0.0(0)
5
0%
4
0%
3
0%
2
0%
1
0%
为此 Skill 评分
0.0
兼容平台
🔧Claude Code
时间线
创建2026年3月16日
最后更新2026年3月16日