Transform academic papers into in-depth technical articles with multiple writing style options. Use the MinerU Cloud API for high-precision PDF parsing, automatically extracting images, tables, and formulas. Optional formula explanations and GitHub code analysis, generating Markdown and HTML formats.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
export MINERU_TOKEN="your_token_here"
pip install requests markdown
python scripts/mineru_api.py <pdf_path> <output_dir>
Or pass the token directly:
python scripts/mineru_api.py paper.pdf ./output YOUR_TOKEN
Output:
output_dir/*.md – Markdown files (including formulas and tables)output_dir/images/ – High-quality extracted imagespython scripts/extract_paper_info.py <output_dir>/*.md paper_info.json
Before generating the article, you must ask the user to choose the following options:
| Style | Characteristics | Use Cases |
|---|---|---|
| storytelling | Starts from intuition, uses metaphors and examples, narrative-driven | Blogs, tech columns, popular science |
| academic | Professional terminology, rigorous expression, preserves original concepts | Academic reports, surveys, research group sharing |
| concise | Straight to the point, tables and lists, high information density | Quick reads, paper overviews, technical research |
| Option | Description |
|---|---|
| with-formulas | Insert formula images and explain symbol meanings in detail |
| no-formulas (default) | Pure text description, no formula images |
| Option | Description |
|---|---|
| with-code | Clone the repository, include key source code, and explain it alongside the paper |
| no-code (default) | No code analysis |
(...)
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Generate format-controlled research reports with evidence tracking, citations, and iterative review. This skill should be used when users request a research report, literature review, market or industry analysis, competitive landscape, policy or technical brief, or require a strict report template and section formatting that a single deepresearch pass cannot reliably enforce.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Image generation skill using Gemini Web. Generates images from text prompts via Google Gemini. Also supports text generation. Use as the image generation backend for other skills like cover-image, xhs-images, article-illustrator.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate educational comics from academic papers, using visual storytelling to explain core ideas and innovations. Supports 4 art styles: classic (clean lines), tech (futuristic), warm (friendly), chalk (blackboard). Uses genimg-gemini-web to generate images.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyzes research papers (PDF/arXiv URL) and converts them into executable code. Automatically activated upon requests for paper replication, algorithm implementation, or research reproduction. Responds to requests like "Implement this paper", "paper2code", "Convert paper to code".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Transform research papers into professional visual schemas. Analyzes paper logic, selects optimal layout patterns, and generates detailed prompts for AI image generation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.