How does this skill detect more duplicates than standard linters?

It combines PMD CPD's token-based analysis for exact copies with Semgrep's pattern-based AST matching, catching renamed variables and structural similarities that single tools often miss.

Can it detect clones across different files?

Yes, PMD CPD is specifically designed to scan entire directories and identify identical or highly similar code blocks across your entire repository.

Do I need to have PMD CPD and Semgrep installed?

Yes, this skill orchestrates these tools on your local environment to perform the analysis, so you will need them installed in your path.

What programming languages are supported?

It supports a wide range of languages compatible with PMD and Semgrep, including Python, Java, JavaScript, TypeScript, Go, and C++.

Does this skill automatically change my code?

The skill identifies violations and proposes refactoring strategies. Claude will show you the planned changes, but you maintain full control over the final implementation and approval.

Code Clone Assistant

Name: Code Clone Assistant
Author: terrylica

byterrylica

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Herramientas para Desarrolladores

Identifies and refactors code duplication using a multi-tool approach to enforce DRY principles and reduce technical debt.

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Code Clone Assistant is a specialized Claude Code skill designed to automate the detection and refactoring of duplicated code across your repositories. By orchestrating both PMD CPD for token-based exact matches and Semgrep for abstract syntax tree (AST) pattern matching, it identifies up to three times more violations than traditional single-tool approaches. This skill guides developers through the entire lifecycle of code quality improvement—from initial discovery of copy-pasted blocks and renamed identifiers to implementing consolidated, reusable functions with AI-driven refactoring strategies.

Características Principales

Dual-engine detection using PMD CPD and Semgrep for maximum coverage
Automated cross-file duplication analysis for large repositories
Customizable detection thresholds for minimum token counts and pattern matching
Support for Type-1 (exact), Type-2 (renamed), and Type-3 (near-miss) code clones
Intelligent refactoring suggestions to consolidate redundant logic
2 GitHub stars

Casos de Uso

Refactoring legacy codebases to eliminate redundant copy-pasted blocks
Standardizing repeated validation logic or boilerplate across multiple modules
Auditing repositories for DRY violations during code reviews or quality sprints

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Características Principales

Dual-engine detection using PMD CPD and Semgrep for maximum coverage
Automated cross-file duplication analysis for large repositories
Customizable detection thresholds for minimum token counts and pattern matching
Support for Type-1 (exact), Type-2 (renamed), and Type-3 (near-miss) code clones
Intelligent refactoring suggestions to consolidate redundant logic
2 GitHub stars

Casos de Uso

Refactoring legacy codebases to eliminate redundant copy-pasted blocks
Standardizing repeated validation logic or boilerplate across multiple modules
Auditing repositories for DRY violations during code reviews or quality sprints