refactor-method-complexity-reduce

Refactor given method `${input:methodName}` to reduce its cognitive complexity to `${input:complexityThreshold}` or below, by extracting helper methods.

23 stars

Best use case

refactor-method-complexity-reduce is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Refactor given method `${input:methodName}` to reduce its cognitive complexity to `${input:complexityThreshold}` or below, by extracting helper methods.

Teams using refactor-method-complexity-reduce should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/refactor-method-complexity-reduce/SKILL.md --create-dirs "https://raw.githubusercontent.com/christophacham/agent-skills-library/main/skills/biomedical/refactor-method-complexity-reduce/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/refactor-method-complexity-reduce/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How refactor-method-complexity-reduce Compares

Feature / Agentrefactor-method-complexity-reduceStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Refactor given method `${input:methodName}` to reduce its cognitive complexity to `${input:complexityThreshold}` or below, by extracting helper methods.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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

Related Skills

code-refactoring-context-restore

23
from christophacham/agent-skills-library

Use when working with code refactoring context restore

tdd-workflows-tdd-refactor

23
from christophacham/agent-skills-library

Use when working with tdd workflows tdd refactor

refactor

23
from christophacham/agent-skills-library

Surgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.

refactoring-patterns

23
from christophacham/agent-skills-library

Apply named refactoring transformations to improve code structure without changing behavior. Use when the user mentions "refactor this", "code smells", "extract method", "replace conditional", or "technical debt". Covers smell-driven refactoring, safe transformation sequences, and testing guards. For code quality foundations, see clean-code. For managing complexity, see software-design-philosophy.

code-refactoring

23
from christophacham/agent-skills-library

Code refactoring patterns and techniques for improving code quality without changing behavior. Use for cleaning up legacy code, reducing complexity, or improving maintainability.

seo-geo-optimize

23
from christophacham/agent-skills-library

Audits and automatically implements SEO, local SEO (Geo/Schema.org), and Social Graph structured data across web projects according to modern best practices.

seo-fundamentals

23
from christophacham/agent-skills-library

Core principles of SEO including E-E-A-T, Core Web Vitals, technical foundations, content quality, and how modern search engines evaluate pages.

seo-forensic-incident-response

23
from christophacham/agent-skills-library

Investigate sudden drops in organic traffic or rankings and run a structured forensic SEO incident response with triage, root-cause analysis and recovery plan.

seo-content-writer

23
from christophacham/agent-skills-library

Writes SEO-optimized content based on provided keywords and topic briefs. Creates engaging, comprehensive content following best practices. Use PROACTIVELY for content creation tasks.

seo-content-refresher

23
from christophacham/agent-skills-library

Identifies outdated elements in provided content and suggests updates to maintain freshness. Finds statistics, dates, and examples that need updating. Use PROACTIVELY for older content.

seo-content-planner

23
from christophacham/agent-skills-library

Creates comprehensive content outlines and topic clusters for SEO. Plans content calendars and identifies topic gaps. Use PROACTIVELY for content strategy and planning.

seo-content-auditor

23
from christophacham/agent-skills-library

Analyzes provided content for quality, E-E-A-T signals, and SEO best practices. Scores content and provides improvement recommendations based on established guidelines.