dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
Parse PDF documents with MinerU MCP to extract text, tables, and formulas. Supports multiple backends including MLX-accelerated inference on Apple Silicon.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install etoile04/mineru-pdfInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Parse PDF documents using MinerU MCP to extract structured content including text, tables, and formulas with MLX acceleration on Apple Silicon.
claude mcp add --transport stdio --scope user mineru -- \
uvx --from mcp-mineru python -m mcp_mineru.server
This installs and configures MinerU for all Claude projects. Models are downloaded on first use.
The skill includes a direct parsing tool that saves output to a persistent directory:
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py <pdf_path> <output_dir> [options]
Advantages:
# Parse entire PDF
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py \
"/path/to/document.pdf" \
"/path/to/output"
# Parse specific pages
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py \
"/path/to/document.pdf" \
"/path/to/output" \
--start-page 0 --end-page 2
# Use Apple Silicon optimization
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py \
"/path/to/document.pdf" \
"/path/to/output" \
--backend vlm-mlx-engine
# Text only (faster)
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py \
"/path/to/document.pdf" \
"/path/to/output" \
--no-table --no-formula
uvx --from mcp-mineru python -c "
import asyncio
from mcp_mineru.server import call_tool
async def parse_pdf():
result = await call_tool(
name='parse_pdf',
arguments={
'file_path': '/path/to/document.pdf',
'backend': 'pipeline',
'formula_enable': True,
'table_enable': True,
'sta...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# MinerU PDF Parser
Parse PDF documents using MinerU MCP to extract structured content including text, tables, and formulas with MLX acceleration on Apple Silicon.
## Installation
### Option 1: Install MinerU MCP (for Claude Code)
```bash
claude mcp add --transport stdio --scope user mineru -- \
uvx --from mcp-mineru python -m mcp_mineru.server
```
This installs and configures MinerU for all Claude projects. Models are downloaded on first use.
### Option 2: Use Direct Tool (preserves files)
The skill includes a direct parsing tool that saves output to a persistent directory:
```bash
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py <pdf_path> <output_dir> [options]
```
**Advantages:**
- ✅ Files are saved permanently (not auto-deleted)
- ✅ Full control over output location
- ✅ No MCP overhead
- ✅ Works with any Python environment that has MinerU
## Quick Start
### Method 1: Using the Direct Tool (Recommended)
```bash
# Parse entire PDF
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py \
"/path/to/document.pdf" \
"/path/to/output"
# Parse specific pages
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py \
"/path/to/document.pdf" \
"/path/to/output" \
--start-page 0 --end-page 2
# Use Apple Silicon optimization
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py \
"/path/to/document.pdf" \
"/path/to/output" \
--backend vlm-mlx-engine
# Text only (faster)
python /Users/lwj04/clawd/skills/mineru-pdf/parse.py \
"/path/to/document.pdf" \
"/path/to/output" \
--no-table --no-formula
```
### Method 2: Using MinerU MCP (Temporary Files)
### Parse a PDF document
```bash
uvx --from mcp-mineru python -c "
import asyncio
from mcp_mineru.server import call_tool
async def parse_pdf():
result = await call_tool(
name='parse_pdf',
arguments={
'file_path': '/path/to/document.pdf',
'backend': 'pipeline',
'formula_enable': True,
'table_enable': True,
'sta...University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
OpenClaw Skill for stock data analysis
Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...
macOS WPS Office workflow helper skill for safer document preparation, conversion, export, and compatibility guidance