kitchen-engineer42

Pdf2skills — Development skill for Claude Code

Development community

Convert a book into skills directly callable to Claude Code.

How to install Pdf2skills

This entry records only its repository, not the path inside it, so there is no exact command to give. Open kitchen-engineer42/pdf2skills and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Pdf2skills does

Convert a book into skills directly callable to Claude Code.

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README

pdf2skills

Convert PDF books into Skills callable to Claude Code.

Please see recent updates: https://github.com/kitchen-engineer42/Anything2Workspace

Quick Start

1. Install Dependencies

pip install requests python-dotenv python-Levenshtein numpy scikit-learn spacy jieba PyPDF2

# Download spaCy English model
python -m spacy download en_core_web_sm

2. Setup MinerU Client

Copy `mineru_client.py` to the parent directory of `pdf2skills/`:

your_project/
├── mineru_client.py      # MinerU API client
├── pdf2skills/           # This folder
│   ├── run_pipeline.py
│   └── ...
└── test_data/            # Your PDFs here

Get your MinerU API key at: https://mineru.net/

3. Configure Environment

Create a `.env` file in the `pdf2skills` directory:

# SiliconFlow API (Required - primary LLM provider)
SILICONFLOW_API_KEY=your_siliconflow_api_key
SILICONFLOW_BASE_URL=https://api.siliconflow.cn/v1

# MinerU API (Required - PDF to Markdown conversion)
MINERU_API_KEY=your_mineru_api_key
MINERU_BASE_URL=https://mineru.net/api/v4/extract/task

# Pipeline Configuration
CHUNK_MAX_TOKENS=30000
CHUNK_MAX_ITERATIONS=3
OUTPUT_LANGUAGE=English

# Rate Limiting (adjust based on your API tier)
GLM_RATE_LIMIT_SECONDS=3.0
FUSION_RATE_LIMIT_SECONDS=2.0
BUCKET_THRESHOLD=0.5

4. Run the Pipeline

# Basic usage
python run_pipeline.py your_book.pdf

# With custom output directory
python run_pipeline.py your_book.pdf --output-dir ./output

# For English PDFs
python run_pipeline.py your_book.pdf --language en

# Resume interrupted processing
python run_pipeline.py your_book.pdf --resume

5. Output Structure

After processing, you'll find:

your_book_output/
├── full.md                          # Extracted markdown
├── full_chunks/                     # Chunked documents
│   ├── chunks_index.json
│   └── chunks/
├── full_chunks_density/             # Semantic analysis
│   ├── density_scores.json
│   └── heatmap.html