SkillScope is a research project which aims to discover new ways to classify tasks from open source projects to better assist new contributors in finding a task that best suits their skill-set. This project leverages large language models (LLMs) and Random Forest models to apply extreme multi-label categorization techniques to predict multilevel skills and solve open issues.