<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> This project provides an AI-powered toolkit to transform academic papers into polished method figures, visual slide decks, and in-depth articles with a "zero config, one command" approach. It targets researchers, engineers, and power users seeking to rapidly disseminate, analyze, or present complex research findings, offering publication-ready outputs without manual effort. The primary benefit is significant time savings and enhanced quality in academic content creation and communication.

How It Works

The toolkit comprises three main components: paper-comic generates publication-grade diagrams or sketchnotes from papers, allowing user confirmation on proposed visuals. paper-analyzer creates deep-dive HTML articles by re-interpreting papers, cross-referencing findings with GitHub code implementations, and rendering formulas via KaTeX and diagrams with Mermaid. paper-deck transforms papers into visual slide decks (.pptx/.pdf) by outlining content, generating slide images with customizable styles (e.g., journal-minimal, liquid-glass), and supporting regeneration of individual pages. This integrated approach automates the often laborious process of translating research into accessible and professional formats.

Quick Start & Requirements

• Primary install / run command: Integrate directly within environments like Codex or Claude Code, or via terminal using bash npx skills add zsyggg/paper-craft-skills.
• Non-default prerequisites and dependencies: No API keys or accounts are required. The tool operates within supported AI coding environments or requires Node.js/npm for CLI usage.
• Links: GitHub repository: https://github.com/zsyggg/paper-craft-skills

Highlighted Details

• Automates conversion from arXiv links or local PDFs to publication-ready visuals, AIGC slide decks, and deep-dive articles.
• Offers distinct styles for figure generation (paper-figure, sketchnote) and slide decks (journal-minimal, business-research, warm-notes, liquid-glass).
• paper-analyzer includes formula explanation and code analysis by cross-referencing papers with GitHub repositories.
• paper-deck allows iterative regeneration of specific slides and supports embedding real source visuals from the input document.

Maintenance & Community

No specific details regarding maintainers, community channels (like Discord/Slack), or roadmap were present in the provided README snippet.

Licensing & Compatibility

• License type: MIT License.
• Compatibility notes: Designed for integration with AI coding platforms (Codex, Claude Code, Cursor, Windsurf). The MIT license generally permits commercial use and integration into closed-source projects.

Limitations & Caveats

The project emphasizes ease of use and automation, with no explicit mention of alpha/beta status or significant limitations. Potential caveats may include the inherent variability and accuracy of AI-generated content, reliance on the quality of the input paper, and the specific scope of academic domains effectively supported by the underlying models.