QuZhan51496/paper2anything

An agent skills pack that turns an academic paper PDF into slides, a poster, a webpage, a Xiaohongshu post, or a WeChat article (paper2slides/poster/html/xhs/wechat)

What it solves

It automates the process of turning academic paper PDFs into various promotional and dissemination materials, reducing the manual effort required to create presentations, posters, and social media posts for research papers.

How it works

The project provides a set of "skills" that can be integrated with Claude Code. It uses MinerU for PDF parsing and then applies specific pipelines to generate different outputs. Users can trigger these skills using natural language commands or slash commands to convert a PDF into a specific format.

Who it’s for

Researchers and academics who need to promote their work across different platforms including conference presentations, project homepages, and social media (specifically Xiaohongshu and WeChat).

Highlights

  • Multi-format output: Generates .pptx slide decks, HTML/PNG conference posters, single-page project homepages, and formatted posts for Xiaohongshu and WeChat.
  • Claude Code Integration: Designed as a skills pack that can be auto-triggered by intent-based phrases.
  • Automated Parsing: Leverages MinerU for high-quality extraction of content from academic PDFs.
  • Diverse Dissemination: Covers both formal academic channels (slides, posters) and social media platforms.

Related

  • Project
    alaliqing/claude-paper

    A research-paper learning plugin for AI agents that transforms PDFs into interactive study environments with automated summaries, code demonstrations, and a web viewer.

  • Project
    Yuan1z0825/nature-skills

    A curated set of AI‑agent skills for academic research—reading papers, polishing language, generating figures, drafting reviewer reports, building citations, and more—installable via `npx skills`, Claude Code wrappers, or Codex scripts.

  • Project
    luwill/research-skills

    A collection of Claude Code skills designed to automate academic research workflows, including exhaustive literature retrieval, verified proposal writing, and high-fidelity slide generation.

  • Project
    jamditis/claude-skills-journalism

    A collection of modular agent skills for Claude Code and Codex that provide journalists and researchers with specialized workflows for source verification, records requests, and professional reporting.

  • Project
    claesbackman/AI-research-feedback

    A collection of Claude Code skills that provide multi-agent academic reviews for research papers, grant proposals, and pre-analysis plans, including paper-code reproducibility checks.