paddleocr-doc-parsing

# PaddleOCR Document Parsing Skill

## When to Use This Skill

**Use Document Parsing for**:
- Documents with tables (invoices, financial reports, spreadsheets)
- Documents with mathematical formulas (academic papers, scientific documents)
- Documents with charts and diagrams
- Multi-column layouts (newspapers, magazines, brochures)
- Complex document structures requiring layout analysis
- Any document requiring structured understanding

**Use Text Recognition instead for**:
- Simple text-only extraction
- Quick OCR tasks where speed is critical
- Screenshots or simple images with clear text

## How to Use This Skill

**⛔ MANDATORY RESTRICTIONS - DO NOT VIOLATE ⛔**

1. **ONLY use PaddleOCR Document Parsing API** - Execute the script `python scripts/vl_caller.py`
2. **NEVER parse documents directly** - Do NOT parse documents yourself
3. **NEVER offer alternatives** - Do NOT suggest "I can try to analyze it" or similar
4. **IF API fails** - Display the error message and STOP immediately
5. **NO fallback methods** - Do NOT attempt document parsing any other way

If the script execution fails (API not configured, network error, etc.):
- Show the error message to the user
- Do NOT offer to help using your vision capabilities
- Do NOT ask "Would you like me to try parsing it?"
- Simply stop and wait for user to fix the configuration

### Basic Workflow

1. **Execute document parsing**:
   ```bash
   python scripts/vl_caller.py --file-url "URL provided by user" --pretty
   ```
   Or for local files:
   ```bash
   python scripts/vl_caller.py --file-path "file path" --pretty
   ```

   **Optional: explicitly set file type**:
   ```bash
   python scripts/vl_caller.py --file-url "URL provided by user" --file-type 0 --pretty
   ```
   - `--file-type 0`: PDF
   - `--file-type 1`: image
   - If omitted, the service can infer file type from input.

   **Default behavior: save raw JSON to a temp file**:
   - If `--output` is omitted, the script saves automatically under the syste...