link-project

The 'link-project' skill is designed to streamline the process of cataloging and organizing project repositories in a centralized PROJECTS.md file. When a user mentions starting, completing, or sharing a hands-on project, this skill automatically identifies the project details and inserts them into the appropriate section of the documentation. This eliminates the need for manual updates and ensures that project references remain organized and accessible, addressing the common problem of scattered or inconsistent project records in collaborative or educational settings.

This skill offers several key capabilities. It reads the existing PROJECTS.md file, determines the suitable category for a project—such as Machine Learning, Deep Learning, AI Engineering, ML Systems & Production, Software Engineering, or Other—and adds the project link along with a concise description. It maintains proper organization by grouping projects under category headers, appending new entries at the bottom, and creating headers if they do not exist. Additionally, it handles edge cases, including empty documentation, projects that could fit multiple categories, missing repository URLs, or unclear project descriptions, by prompting the user for clarification as needed.

The 'link-project' skill is ideal for developers, AI practitioners, educators, and students who maintain project portfolios or collaborative documentation. It is particularly useful in environments where multiple projects are continuously being developed and shared, allowing teams to keep an up-to-date, categorized list of repositories. By automating the documentation process, this skill saves time, improves consistency, and ensures that project contributions are properly tracked and easily discoverable by anyone referencing the PROJECTS.md file.