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A slide framework designed for AI agents that lets you describe a presentation deck in natural language while agents write the React code. It handles canvas scaling, navigation, hot reload, and present mode for a 1920x1080 fixed canvas.

A slide authoring skill for the open-slide framework, where you describe your deck in natural language and the coding agent writes the React. Renders slides into a fixed 1920x1080 canvas with hot reload, present mode, and an in-browser inspector for visual feedback.

An MCP server that gives AI assistants direct access to any CKAN open data portal, enabling dataset search, organization exploration, tabular data querying, and metadata reading through conversational interaction.

Part of open-slide, a slide framework built for AI agents where you describe your deck in natural language and the agent writes React code, handling canvas, scaling, navigation, and present mode.

A slide framework built for AI agents that turns natural language prompts into polished presentation decks, rendering each slide as a React component on a fixed 1920x1080 canvas with hot reload and present mode.

A slide framework built for AI agents that turns natural language descriptions into polished React-based presentation decks. Renders slides into a fixed 1920x1080 canvas with hot reload, present mode, and automatic scaling so agents can focus on content.

An agent-native slide framework where you describe your deck in natural language and the coding agent writes the React components. Features a 1920x1080 canvas, in-browser inspector for element commenting, hot reload, and built-in skills like /create-slide for end-to-end deck generation.

A slide framework built for AI coding agents that turns natural language prompts into polished React-based presentation decks. Provides a 1920x1080 canvas runtime, in-browser comment inspector, assets manager with logo search, presenter mode, and static HTML/PDF export.