technical-debt-visualizer
Generates a heat-map and metrics report of a repository based on code complexity, lack of tests, and 'TODO/FIXME' density. Use when you need to identify high-risk areas for refactoring or when planning technical debt reduction sprints.
What this skill does
# Technical Debt Visualizer ## Purpose and Intent The `technical-debt-visualizer` provides a data-driven view of software quality. It helps engineering leaders and developers prioritize refactoring work by identifying files that are both complex and frequently changed—the "high-interest" technical debt. ## When to Use - **Sprint Planning**: Run this before a dedicated refactoring sprint to identify the best "ROI" targets. - **Architectural Reviews**: Use to visualize the impact of legacy systems on the overall codebase health. - **Due Diligence**: Quickly assess the health of a new or acquired repository. ## When NOT to Use - **Performance Benchmarking**: This tool measures code *structure* and *maintainability*, not runtime performance. - **Absolute Complexity Rating**: Metrics like cyclomatic complexity are indicators, not absolute rules; some complex logic is unavoidable. ## Input and Output Examples ### Input ```yaml source_path: "./src" output_format: "markdown" ``` ### Output A markdown report highlighting "Hotspots"—files that have high complexity and low test coverage. ## Error Conditions and Edge Cases - **No Git History**: If run on a non-git directory, the "change frequency" metric will be unavailable. - **Unsupported Languages**: Complexity analysis is language-dependent; unknown extensions will be reported with a lower confidence score. ## Security and Data-Handling Considerations - **Local Scan**: The analysis is performed entirely in memory on the local machine. - **No Execution**: The tool uses static analysis; it never runs the code it is analyzing.
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