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ethanweberAI for generating interactive academic posters from research papers
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Summary
Posterskill addresses the complex task of generating academic conference posters by leveraging AI assistance. It enables researchers and academics to create print-ready, interactive posters directly from their Overleaf papers and project websites, streamlining the design process and facilitating iterative refinement.
How It Works
Posterskill employs a Claude Code skill to orchestrate content extraction from various sources, including Overleaf projects, specified websites for figures and logos, and optional reference posters for style matching. The core output is a single, self-contained HTML file featuring a React-based visual editor. This editor allows users to interactively adjust the poster's layout by dragging dividers, swapping or moving content cards, and modifying font sizes. Claude Code, using Playwright, automates tasks like measuring image aspect ratios, optimizing column widths, and generating high-resolution PDFs, enabling an iterative workflow where users refine the design in the browser and feed layout configurations back to Claude.
Quick Start & Requirements
overleaf directory, optionally copy reference posters to references/, then run claude /make-poster.Highlighted Details
Maintenance & Community
No specific details regarding maintainers, community channels (e.g., Discord, Slack), or roadmap were found in the provided README.
Licensing & Compatibility
The README does not specify a software license. This omission requires clarification regarding usage rights, particularly for commercial applications or integration into closed-source projects.
Limitations & Caveats
The project is dependent on the Claude Code environment for its primary generation and refinement workflows. The absence of a declared software license presents a significant adoption blocker, necessitating further investigation into legal usage terms.
2 weeks ago
Inactive