Which programming languages does the Dead Code Detector support?

The skill currently provides specialized support and best-practice workflows for Python (using Vulture), TypeScript (using Knip), and Rust (using Cargo Clippy).

Can this skill identify unused dependencies in a package.json?

Yes, when used with TypeScript/JavaScript projects, it leverages Knip to identify unused dependencies and devDependencies that are no longer imported in your source code.

Is it safe to let an AI delete code automatically?

The skill follows a strict risk classification matrix. Low-risk items can be auto-removed, while medium to high-risk items require confirmation via the 'AskUserQuestion' flow after AI validation.

How does it handle false positives in frameworks like Django or React?

The skill includes specialized configuration guides for framework-invoked code and uses a 'Multi-Perspective Validation' workflow to check if code is actually used via dynamic calls or exports.

Dead Code Detector

Name: Dead Code Detector
Author: terrylica

byterrylica

•

개발자 도구

Identifies and safely removes unused functions, imports, and unreachable logic across Python, TypeScript, and Rust codebases.

Dead Code Detector is a specialized maintenance utility designed to prune codebase bloat by identifying orphaned exports, unreachable logic, and unused dependencies. By integrating industry-standard tools like Vulture, Knip, and Cargo Clippy, it provides a high-confidence workflow for refactoring and technical debt reduction. Unlike basic linters, this skill employs a unique multi-perspective validation process using specialized AI subagents—Intent, Integration, and History agents—to distinguish between true dead code and unimplemented features, ensuring that critical but pending logic is never accidentally deleted.

주요 기능

01Support for Python (Vulture), TypeScript (Knip), and Rust (Cargo Clippy) ecosystems.

02Confidence-based risk classification to prevent accidental deletion of public API surfaces.

03Direct integration patterns for CI/CD pipelines and automated code quality enforcement.

04Automated whitelist generation and configuration for framework-invoked 'magic' code.

05Multi-agent validation workflow to verify code intent via git history and documentation.

0614 GitHub stars

사용 사례

01Optimizing bundle sizes and compile times by removing unused exports and dependencies.

02Pruning legacy codebases to reduce maintenance burden and cognitive overhead for developers.

03Performing safety-checked refactoring during onboarding to understand active execution paths.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add terrylica/cc-skills dead-code-detector

For use in Claude.ai and ChatGPT

Download Skill