github/awesome-copilot/skills/refactor-method-complexity-reduce/SKILL.md
refactor-method-complexity-reduce
Refactor given method `${input:methodName}` to reduce its cognitive complexity to `${input:complexityThreshold}` or below, by extracting helper methods.
- Source repository stars
- 37,126
- Declared platforms
- 0
- Static risk flags
- 1
- Last source update
- 2026-07-28
- Source checked
- 2026-07-28
Decision brief
What it does—and where it fits
Refactor given method `${input:methodName}` to reduce its cognitive complexity to `${input:complexityThreshold}` or below, by extracting helper methods.
Not for
- Tasks that require unconfirmed production actions or broad system permissions.
- Environments where the pinned source and install steps cannot be inspected.
Compatibility matrix
Platform support, with evidence labels
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
Inspect first. Install second.
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/github/awesome-copilot --skill "skills/refactor-method-complexity-reduce"Inspect the Agent Skill "refactor-method-complexity-reduce" from https://github.com/github/awesome-copilot/blob/9933dcad5be5caeb288cebcd370eeeb2fc2f1685/skills/refactor-method-complexity-reduce/SKILL.md at commit 9933dcad5be5caeb288cebcd370eeeb2fc2f1685. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
What the source asks the agent to do
- 01
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
Analyze the current method to identify sources of cognitive complexity:Nested conditional statementsMultiple if-else or switch chains - 02
Implementation Approach
Extract helper methods before refactoring the main flow
Extract helper methods before refactoring the main flowTest incrementally to ensure no regressionsUse meaningful names that describe the extracted responsibility - 03
Objective
Refactor the method ${input:methodName}, to reduce its cognitive complexity to ${input:complexityThreshold} or below, by extracting logic into focused helper methods.
Refactor the method ${input:methodName}, to reduce its cognitive complexity to ${input:complexityThreshold} or below, by extracting logic into focused helper methods. - 04
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
Have cognitive complexity reduced to the target threshold of ${input:complexityThreshold} or belowBe more readable and maintainableHave clear separation of concerns - 05
Testing and Validation
CRITICAL: After completing the refactoring, you MUST:
Run all existing tests related to the refactored method and its surrounding functionalityMANDATORY: Explicitly verify test results show "failed=0"NEVER assume tests passed - always examine the actual test output
Permission review
Static risk signals and limitations
Reads files
The documentation asks the agent to read local files, directories, or repositories.
If test output is in a file, read the entire file to locate and verify the failure countEvidence record
Why each signal appears
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 69/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 37,126 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Provenance and original SKILL.md
- Repository
- github/awesome-copilot
- Skill path
- skills/refactor-method-complexity-reduce/SKILL.md
- Commit
- 9933dcad5be5caeb288cebcd370eeeb2fc2f1685
- License
- MIT
- Collected
- 2026-07-28
- Default branch
- main
View the original SKILL.md
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
Alternatives
Compare before choosing
coreyhaines31/marketingskills
ab-testing
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program
event4u-app/agent-config
testing-anti-patterns
Use BEFORE writing/changing tests, adding mocks, or test-only methods on production classes — vs mocking-the-mock, production pollution, partial mocks, and overfit/tautological assertions
event4u-app/agent-config
design-review
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
event4u-app/agent-config
pest-testing
Use when writing, generating, or improving Pest tests for Laravel — clear intent, good coverage, maintainable structure, and alignment with project testing conventions.