Improver

Improver Agent Skills

The Improver Agent is responsible for code refactoring, performance optimization, and quality improvements.

Commands

All commands are prefixed with * when called via the CLI.

*refactor [file_path] [instruction]

• Description: Refactors existing code to improve structure, readability, and maintainability while preserving functionality.
• Usage: tapps improver *refactor src/calculator.py "Extract common logic into helper functions"
• Arguments:
  • file_path (string, required): Path to the file to refactor.
  • instruction (string, optional): Specific refactoring instructions or goals.
• Output: Success message confirming refactoring completion.

*optimize [file_path] [type]

• Description: Optimizes code for performance, memory usage, or both.
• Usage: tapps improver *optimize src/data_processor.py performance
• Arguments:
  • file_path (string, required): Path to the file to optimize.
  • type (string, optional): Type of optimization (performance, memory, or both). Defaults to performance.
• Output: Success message with optimization type and completion status.

*improve-quality [file_path]

• Description: Improves overall code quality by applying best practices, design patterns, and style improvements.
• Usage: tapps improver *improve-quality src/api.py
• Arguments:
  • file_path (string, required): Path to the file to improve.
• Output: Success message confirming quality improvements.

*help

• Description: Displays this help message.
• Usage: tapps improver *help
• Output: A dictionary of commands and their descriptions.

Permissions

The Improver Agent has Read, Write, Edit, Grep, and Glob permissions. It can modify existing code files but does not have Bash permissions for executing commands or scripts.

Workflow Integration

The Improver Agent typically works in coordination with:

• Reviewer Agent: Receives code review feedback and applies improvements
• Implementer Agent: Enhances generated code before final review
• Orchestrator Agent: Participates in quality improvement workflows

Use Cases

1. Code Refactoring: Improve code structure without changing functionality
2. Performance Tuning: Optimize slow or resource-intensive code
3. Quality Enhancement: Apply best practices and design patterns
4. Technical Debt Reduction: Modernize legacy code patterns
5. Code Standardization: Ensure consistency across codebase