code-review

SKILL.md

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:

  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.

Weekly Installs
47
GitHub Stars
13
First Seen
Feb 9, 2026
Installed on
github-copilot47
codex47
kimi-cli47
gemini-cli47
opencode47
amp47