paper-analyzerlisted
Install: claude install-skill proyecto26/sherlock-ai-plugin
# Academic Paper Analyzer – In-Depth Analysis of Academic Papers
## Core Capabilities
- **MinerU Cloud API** for high-precision PDF parsing
- Automatic extraction of images, tables, and LaTeX formulas
- **Multiple writing styles**: storytelling / academic / concise
- **Optional formula explanations**: insert formula images with detailed symbol explanations
- **Optional code analysis**: combine explanations with GitHub open-source code
- Output Markdown + HTML (base64-embedded images)
## Prerequisites
### MinerU API Token
1. Visit https://mineru.net and register an account
2. Obtain an API Token
3. Set an environment variable (recommended):
```bash
export MINERU_TOKEN="your_token_here"
```
### Dependency Installation
```bash
pip install requests markdown
```
## Workflow
### Step 1: PDF Parsing (Using MinerU API)
```bash
python scripts/mineru_api.py <pdf_path> <output_dir>
```
Or pass the token directly:
```bash
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 images
### Step 2: Extract Paper Metadata
```bash
python scripts/extract_paper_info.py <output_dir>/*.md paper_info.json
```
### Step 3: Style Selection (Ask the User)
Before generating the article, **you must ask the user** to choose the following options:
#### 1. Writing Style (Required)
| Style | Characteristics | Use Cases |
|------|-----------------|