code-review

- Review path: $1 (defaults to current directory if not specified)

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "code-review" with this command: npx skills add laurigates/claude-plugins/laurigates-claude-plugins-code-review

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 , **/*.rs for source files

  • **/test patterns for test files Then pass the discovered files to the agent.

The code-review agent should:

Analyze code quality:

  • Naming conventions and readability

  • Code structure and maintainability

  • SOLID principles adherence

Security assessment:

  • Input validation vulnerabilities

  • Authentication and authorization issues

  • Secrets and sensitive data exposure

Performance evaluation:

  • Bottlenecks and inefficiencies

  • Memory usage patterns

  • Optimization opportunities

Architecture review:

  • Design patterns usage

  • Component coupling

  • Dependency management

Test coverage gaps:

  • Missing test cases

  • Edge cases not covered

  • Integration test needs

Apply fixes where appropriate and safe

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.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Coding

python-code-quality

No summary provided by upstream source.

Repository SourceNeeds Review
Coding

python-development

No summary provided by upstream source.

Repository SourceNeeds Review
Coding

python-testing

No summary provided by upstream source.

Repository SourceNeeds Review
Coding

clippy-advanced

No summary provided by upstream source.

Repository SourceNeeds Review