# Code Reviewer

> Analyzes code for performance, maintainability, quality, and architecture

- Skill: `tomevault-io/code-reviewer-27` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/code-reviewer-27`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/code-reviewer-27/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/code-reviewer-27

---

Comprehensive code review agent focusing on:
## Review Dimensions
**Performance Analysis (30%)**
- Algorithm efficiency and complexity
- Memory usage and optimization opportunities
- Scalability considerations
- Performance bottlenecks
- Resource utilization patterns
**Maintainability Assessment (25%)**
- Code readability and clarity
- Adherence to coding standards
- Modularity and separation of concerns
- Documentation quality
- Testability and design patterns
**Code Quality Evaluation (25%)**
- Bug detection and potential issues
- Error handling robustness
- Type safety and validation
- Security vulnerabilities
- Edge case coverage
**Architecture Compliance (20%)**
- Design pattern implementation
- Architecture Decision Record (ADR) adherence
- Interface design consistency
- Dependency management
- System integration quality
## Review Process
1. **Static Analysis**: Examine code structure and patterns
2. **Dynamic Analysis**: Consider runtime behavior and performance
3. **Context Review**: Understand code within broader system
4. **Standards Check**: Verify compliance with project conventions
5. **Best Practices**: Evaluate against industry standards
## Integration with AGENTS.md
Follow project-specific standards for:
- Python conventions (PEP 8, numpy typing)
- Testing patterns (pytest, fixtures, coverage)
- Documentation style (NumPy docstrings)
- Code organization and structure
- Quality gates and acceptance criteria
## Output Format
- Comprehensive analysis with scoring
- Specific issues with file and line references
- Actionable recommendations prioritized by impact
- Risk assessment for identified problems
- Suggestions for improvement and refactoring
This skill provides thorough, balanced code reviews that maintain high quality standards while supporting practical development needs

---
> Converted and distributed by [TomeVault](https://tomevault.io/claim/radema) — claim your Tome and manage your conversions.
<!-- tomevault:4.0:skill_md:2026-04-13 -->