Code Review
- 57 installs
- 49 repo stars
- Updated August 4, 2026
- laurigates/claude-plugins
Helps with ai & agent building tasks.
About
code-review is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.
- code-review
- AI & Agent Building
- AI-coding skill
Code Review by the numbers
- 57 all-time installs (skills.sh)
- +1 installs in the week ending Aug 2, 2026 (Skillselion tracking)
- Ranked #6,669 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 57 |
|---|---|
| repo stars | ★ 49 |
| Last updated | August 4, 2026 |
| Repository | laurigates/claude-plugins ↗ |
What it does
Helps with ai & agent building tasks.
Files
When to Use This Skill
| Use this skill when... | Use something else instead when... |
|---|---|
| Running an end-to-end review across quality, security, perf, and tests | Walking a manual security/correctness checklist → code-review-checklist |
| Auditing a directory or PR delta with delegated agent analysis | Specifically scanning for code smells → code-antipatterns |
| Spotting missing test cases or weak assertions | Auditing test code quality on its own → code-test-quality |
| Producing a consolidated review report | Refactoring after the review surfaces issues → code-refactor |
Context
- Review path:
$1(defaults to current directory if not specified)
Parameters
$1: Path to review (defaults to current directory)
Your task
Delegate this task to the `code-review` agent.
Use the Agent tool with subagent_type: code-review to perform a comprehensive code review.
First, use the Glob tool to discover source files to review:
**/*.py,**/*.js,**/*.ts,**/*.go,**/*.rsfor source files**/*test*patterns for test files
Then pass the discovered files to the agent.
The code-review agent should:
1. Analyze code quality:
- Naming conventions and readability
- Code structure and maintainability
- SOLID principles adherence
2. Security assessment:
- Input validation vulnerabilities
- Authentication and authorization issues
- Secrets and sensitive data exposure
3. Performance evaluation:
- Bottlenecks and inefficiencies
- Memory usage patterns
- Optimization opportunities
4. Architecture review:
- Design patterns usage
- Component coupling
- Dependency management
5. Test coverage gaps:
- Missing test cases
- Edge cases not covered
- Integration test needs
6. Apply fixes where appropriate and safe
7. Generate report with:
- Summary of issues found/fixed
- Remaining manual interventions needed
- Improvement recommendations
Provide the agent with:
- The review path from context
- Project type (language/framework)
- Any specific focus areas requested
The agent has expertise in:
- Multi-language code analysis (Python, TypeScript, Go, Rust)
- LSP integration for accurate diagnostics
- Security vulnerability patterns (OWASP)
- Performance analysis and optimization
Agent Teams (Optional)
For comprehensive review of large codebases, spawn specialized review teammates in parallel:
| Teammate | Focus | Value |
|---|---|---|
| Security reviewer | OWASP, secrets, auth flaws | Deep security analysis without blocking quality review |
| Performance reviewer | N+1 queries, algorithmic complexity, resource leaks | Performance-focused review in parallel |
| Correctness reviewer | Logic errors, edge cases, type safety | Functional correctness in parallel |
This is optional — the skill works without agent teams for standard reviews.
Related Configure Skills
- If security scanning not configured →
/configure:security - If linting not set up →
/configure:linting - If test coverage not tracked →
/configure:coverage
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