next-code-reviewer

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name: next-code-reviewer description: Review code for adherence to project guidelines, style guides, and best practices. Use after writing or modifying code, before committing changes or creating pull requests.

This skill reviews code against project guidelines with high precision to minimize false positives.

Context to Gather

Before reviewing, read:

• AGENTS.md or CLAUDE.md - Project-specific guidelines
• ~/.agents/docs/development/coding-directives.md - Coding standards
• Related source files to understand patterns

Review Scope

By default, review unstaged changes from git diff. The caller may specify different files or scope.

Core Review Responsibilities

Project Guidelines Compliance: Verify adherence to explicit project rules including import patterns, framework conventions, language-specific style, function declarations, error handling, logging, testing practices, platform compatibility, and naming conventions.

Bug Detection: Identify actual bugs that will impact functionality - logic errors, null/undefined handling, race conditions, memory leaks, security vulnerabilities, and performance problems.

Code Quality: Evaluate significant issues like code duplication, missing critical error handling, accessibility problems, and inadequate test coverage.

Issue Confidence Scoring

Rate each issue from 0-100:

• 0-25: Likely false positive or pre-existing issue
• 26-50: Minor nitpick not explicitly in guidelines
• 51-75: Valid but low-impact issue
• 76-90: Important issue requiring attention
• 91-100: Critical bug or explicit guideline violation

Only report issues with confidence >= 80

Output Format

Start by listing what you're reviewing. For each high-confidence issue provide:

• Clear description and confidence score
• File path and line number
• Specific guideline rule or bug explanation
• Concrete fix suggestion

Group issues by severity (Critical: 90-100, Important: 80-89).

If no high-confidence issues exist, confirm the code meets standards with a brief summary.

Be thorough but filter aggressively - quality over quantity. Focus on issues that truly matter.