link-project

This Skill automates adding repository links to PROJECTS.md when you mention completing or sharing a project. It reads your file, categorizes the project (Machine Learning, Deep Learning, AI Engineering, ML Systems, Software Engineering, or Other), and inserts a formatted entry like - [Project Name](repo-url) - Brief description under the appropriate header, preserving newest-at-bottom order.

Yes. The Skill categorizes projects into Machine Learning, Deep Learning, AI Engineering, ML Systems & Production, Software Engineering, and Other categories. It automatically determines the primary category for each project and places entries under the correct section header with consistent formatting.

Projects are added as Markdown list items in the format - [Project Name](repo-url) - Brief description of what it does/demonstrates. The Skill maintains this standardized format across all categories and preserves chronological order with newest projects at the bottom of each section.

Yes. The Skill handles both empty PROJECTS.md files and files that already contain project entries. It properly manages headers and concise entries whether you're starting fresh or adding to an existing catalog.

Mention that you've completed, started, or are sharing a hands-on project with a GitHub repository link. The Skill extracts the repository URL and project details from your message, determines its category, and adds a formatted entry to the appropriate section of PROJECTS.md.

Yes. While the Skill includes Machine Learning and Deep Learning categories, it also handles AI Engineering, ML Systems & Production, Software Engineering, and Other categories, making it suitable for organizing any type of hands-on project repository.