Developed a Task Graph Visualization Tool for the mirage-project/mirage repository, focusing on improving developer insight into task dependencies and event triggers. The solution was implemented as a Python script that parses JSON task graph data, maps runtime headers to color codes, and generates a Graphviz DOT file for visual analysis. Data-type validation was incorporated to ensure only supported data is visualized, reducing potential runtime errors. The tool also integrated a quick-display path using xdot, enabling immediate local visualization. This work leveraged skills in data visualization, graph theory, and scripting, supporting faster debugging, planning, and cross-team communication within the project.