Code Review Skill
SkillAI & modelsCode review skill for analyzing code quality, detecting bugs, and ensuring best practices.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Code Review Skill skill
What this skill tells your AI
The instructions your AI receives, as published by ww-w-ai/bkit-gemini in skills/code-review/SKILL.md and read by ahel’s review.
Comprehensive code analysis for quality, security, and performance
Review Categories
1. Code Quality
- Naming conventions
- Code structure
- DRY principles
- SOLID principles
- Complexity metrics
2. Security
- Input validation
- Authentication/Authorization
- SQL injection
- XSS vulnerabilities
- Sensitive data exposure
3. Performance
- Algorithm efficiency
- Memory usage
- Database queries
- Caching opportunities
- Bundle size
4. Best Practices
- Error handling
- Logging
- Testing coverage
- Documentation
- Type safety
Usage
# Review specific file
/code-review src/components/Login.tsx
# Review entire feature
/code-review user-authentication
# Review with specific focus
/code-review security src/api/
Output Format
## Code Review Report
### Summary
- Files reviewed: N
- Issues found: N (Critical: N, Warning: N, Info: N)
### Critical Issues
- [FILE:LINE] Description
### Warnings
- [FILE:LINE] Description
### Suggestions
- [FILE:LINE] Description
### Positive Observations
- Well-structured code in X
- Good test coverage in Y
Integration with PDCA
Code review is part of the Check phase:
- Run
/code-reviewafter implementation - Address critical issues
- Run
/pdca analyzefor gap analysis - Iterate until quality standards met
Signals
- GitHub stars
- 65
- Forks
- 16
- Last commit
- May 2026
Advanced
- Catalog kind
- skill
- Gateway key
code-review-ww-w-ai- Source
- github.com/ww-w-ai/bkit-gemini