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dev-review

Route files to language-specific agents for automated code quality assessments.

1|Updated May 21, 2026
Search Tags:#development#static analysis#code review#best practices#refactoring#software quality
One-click install
npx skills add https://github.com/hiddink-ai/hiddink-harness --skill dev-review-hiddink-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dev-review
Source: https://github.com/hiddink-ai/hiddink-harness/tree/main/templates/skills/dev-review
Command: npx skills add https://github.com/hiddink-ai/hiddink-harness --skill dev-review-hiddink-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the inconsistency and overhead of manual code reviews by providing automated, language-specific best practice analysis that integrates seamlessly into your development workflow.

Core Features & Use Cases

  • Language-Specific Expertise: Leverages specialized agents for Go, Python, Rust, Kotlin, TypeScript, Java, and React to ensure relevant feedback.
  • Intelligent Pre-flight Guards: Automatically detects auto-generated code, formatting-only changes, and syntax errors to prevent unnecessary review cycles.
  • Use Case: Before merging a pull request, use this skill to identify potential performance bottlenecks, style violations, or error-handling gaps in your codebase.

Quick Start

Run the dev-review skill on the current directory to analyze your code against language-specific best practices.

Frequently Asked Questions about dev-review

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

FAQPage Schema
How do I automate code review for best practices before a pull request?▼

Automated code review validates best practices by routing files to language-specific expert agents for style, performance, and security audits. It identifies potential bottlenecks and error-handling gaps before you merge a pull request.

Can I run static analysis on multiple programming languages like Python, Go, and Rust?▼

Yes, static analysis supports multiple programming languages including Python, Go, Rust, Kotlin, TypeScript, Java, and React. It routes your files to specialized agents to ensure relevant, language-specific feedback.

How does automated code review handle auto-generated files and formatting changes?▼

Automated code review uses intelligent pre-flight guards to detect auto-generated code, formatting-only changes, and syntax errors. This prevents unnecessary review cycles by skipping files that do not require best-practice validation.

Does this code quality assessment integrate with project-specific linter configurations?▼

Yes, code quality assessment integrates with project-specific linter configurations. This satisfies requirements for pre-flight validation by aligning the automated review with your existing development lifecycle standards.

What is the best way to identify performance bottlenecks and style violations in a codebase?▼

The best way to identify performance bottlenecks and style violations is running language-specific expert agents on your directory. This automated analysis applies best-practice validation across your software development lifecycle.

Why should I use automated static analysis instead of manual code reviews?▼

Automated static analysis solves the inconsistency and overhead of manual code reviews by providing language-specific best practice analysis. It seamlessly integrates into your development workflow to validate code quality.

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