gemini-document-processing

What problem does it solve?

Extracting structured data, summarizing, or answering questions from complex PDF documents (especially those with images, charts, or tables) is often a manual and error-prone process. This skill leverages Google Gemini's native vision capabilities to automate deep document understanding, saving significant time and improving accuracy.

Core Features & Use Cases

• Multimodal PDF Analysis: Understands text, images, diagrams, charts, and tables within PDFs up to 1,000 pages.
• Structured Data Extraction: Extract specific information (e.g., invoice details, resume fields) into JSON format with schema validation.
• Intelligent Summarization & Q&A: Generate concise summaries or get direct answers to questions based on document content.
• Use Case: Automatically process a batch of legal contracts to extract key clauses, effective dates, and party names, then summarize each contract's obligations, all without manual review.

Quick Start

1. Get your Gemini API key: https://aistudio.google.com/apikey

2. Set API key as environment variable:

export GEMINI_API_KEY="your-api-key-here"

3. Install dependencies:

pip install google-genai python-dotenv

4. Use the provided script to summarize a PDF:

python .claude/skills/gemini-document-processing/scripts/process-document.py
--file your_document.pdf
--prompt "Provide a concise executive summary"