Review Code

What it does

This skill enables AI agents to perform code reviews within the catlog22/claude-code-workflow ecosystem. It allows the agent to analyze submitted code changes, identify potential bugs or inefficiencies, and provide structured feedback before implementation is finalized.

When to use it

• Before merging a pull request to ensure no critical logic errors slip into production.
• During the development phase to get immediate suggestions for refactoring complex functions.
• When onboarding new team members to maintain consistent coding standards across the project.
• To validate that security best practices are followed in newly written scripts.

Key capabilities

• Analyzes code changes for logical errors and performance bottlenecks.
• Integrates seamlessly with the claude-code-workflow environment.
• Provides actionable feedback on style, readability, and maintainability.
• Supports iterative review cycles within a single workflow session.

Example prompts

• "Review this function for potential race conditions and suggest fixes."
• "Analyze the recent changes in the authentication module against our security guidelines."
• "Provide a summary of code quality issues found in this pull request before I merge it."

Tips & gotchas

Ensure your AI agent has read access to the repository history and current branch state for accurate context. Limit review scope to specific files or functions if the entire codebase is too large for a single pass, as this may reduce the depth of analysis.