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dead-code

Detect unused exports, imports, variables, and unreachable branches in TypeScript, Python, and Go projects.

Updated Apr 17, 2026
Search Tags:#typescript#python#golang#code-quality#static-analysis#dead-code#code-cleanup
One-click install
npx skills add https://github.com/smallorbit/smallorbit-plugins --skill dead-code-smallorbit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dead-code
Source: https://github.com/smallorbit/smallorbit-plugins/tree/main/plugins/polishkit/skills/dead-code
Command: npx skills add https://github.com/smallorbit/smallorbit-plugins --skill dead-code-smallorbit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams identify and remove dead or unreachable code, reducing maintenance burden and improving readability and performance.

Core Features & Use Cases

  • Detects unused exports and imports across TypeScript, Python, and Go projects.
  • Flags dead variables, unreachable branches, and obsolete code blocks for review.
  • Use Case: When a feature is deprecated or refactored, run this Skill to clean up stale code paths and exports.

Quick Start

Run the dead-code eliminator against your repository to identify dead code and begin a review before deletions.

Frequently Asked Questions about dead-code

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find and remove unused exports and dead code in a TypeScript project?▼

To find dead code in TypeScript, this Skill scans for unused exports, imports, and dead variables using language-aware tooling like ts-prune, proposing safe removals after validation.

What is the safest way to clean up unreachable branches and obsolete code blocks?▼

The safest way to clean up unreachable branches is a confirmation-based workflow that validates findings from static analysis tools before applying any code deletions to your repository.

Can I detect dead variables and unused imports across both Python and Go projects?▼

Yes, you can detect dead variables and unused imports across Python and Go projects by running this Skill, which leverages language-aware static analysis tools like pyflakes, ruff, and staticcheck.

Do I need to install static analysis tools like ruff or staticcheck before scanning?▼

Yes, you need language-aware tooling installed, as this Skill relies on tools like ts-prune, pyflakes, ruff, and staticcheck to accurately identify unused code and unreachable branches for review.

What are the limitations of using static analysis to prune dead code?▼

Static analysis limitations include potential false positives for dynamic code usage, requiring a confirmation-based workflow to manually validate flagged dead variables and obsolete blocks before deletion.

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