Skill UI

A comprehensive, single-screen Kanban board prototype designed for visualizing agile project management and sprint tracking. It features distinct columns (Backlog, In Progress, Review, Done), draggable cards, assignee avatars, and advanced filtering options, making it ideal for managing product backlogs, simulating tools like Trello, or visualizing complex workflows.

A comprehensive OKR tracker dashboard designed to visualize team objectives and key results (KRs). It includes a quarter banner, multiple objective cards with progress bars, owner details, and a dedicated sidebar for at-a-glance KPIs, ideal for quarterly performance reviews and strategic planning.

This skill functions as an optional agent companion for MDPR, a deterministic Markdown-to-presentation runtime. It helps review presentation workflows by providing semantic hints, visual evidence reports, and high-level layout intentions. Crucially, it keeps agent output evidence-based while letting MDPR maintain control over final slide geometry, rendering details, and layout coordinates.

A highly visual Kanban board template designed for agile project and workflow management, similar to Trello. It features four distinct columns (To Do, In Progress, In Review, Done) to track the lifecycle of tasks. Users can filter by assignee, label, and search, and optionally group cards using swimlanes for enhanced clarity during operational sprints and team coordination.

A comprehensive project management guide for submitting academic papers, specifically tailored for the IEEE VIS conference cycle. It maps out all critical milestones, from initial area selection and abstract submission through to conditional acceptance revisions and final camera-ready preparation. Use this skill to responsibly plan for the annual cycle, manage reviewers' expectations, and mitigate common submission risks.

This skill functions as an optional agent companion for MDPR, a deterministic Markdown-to-presentation runtime. It helps review presentation workflows by providing semantic hints, visual evidence reports, and high-level layout intentions. Crucially, it keeps agent output evidence-based while letting MDPR maintain control over final slide geometry, rendering details, and layout coordinates.