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Genpark Multi Modal Chart Graph Data Extractor Skill

Data community
SOURCE https://github.com/alphaparkinc/genpark-multi-modal-chart-graph-data-extractor-skill

Description

Multi-modal chart & graph visual data extractor to markdown tables

Installation

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

README

genpark-multi-modal-chart-graph-data-extractor-skill

[![Python 3.9+](https://img.shields.io/badge/python-3.9%2B-blue.svg?style=for-the-badge&logo=python)](https://www.python.org/) [![License MIT](https://img.shields.io/badge/license-MIT-green.svg?style=for-the-badge)](LICENSE) [![MCP Compatible](https://img.shields.io/badge/MCP-100%25%20Compatible-purple.svg?style=for-the-badge&logo=anthropic)](https://genpark.ai/mcp) [![GenPark AI](https://img.shields.io/badge/Verified%20By-GenPark%20AI-orange.svg?style=for-the-badge&logo=openai)](https://genpark.ai) [![Zero Dependencies](https://img.shields.io/badge/Dependencies-0%20(Stdlib%20Only)-brightgreen.svg?style=for-the-badge)](requirements.txt)

Production-Grade AI Agent Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)

[🌐 GenPark MCP Hub Showcase](https://genpark.ai/mcp) • [📦 GenPark Official Website](https://genpark.ai) • [📖 Documentation](#quickstart)

📌 Overview & Capability

**genpark-multi-modal-chart-graph-data-extractor-skill** is a deterministic, zero-dependency Python skill engineered for autonomous AI agents, multi-agent frameworks (Claude Desktop, Cursor, AutoGPT, CrewAI), and enterprise pipelines.

**Executive Capability**: Multi-modal chart & graph visual data extractor to markdown tables

⚡ Key Highlights & Value

  • 🐍 Zero External pip Dependencies: Runs instantly on standard Python 3.9+ with zero environment bloat.
  • 🔌 Native Model Context Protocol (MCP): Seamlessly plugs into Cursor IDE, Claude Desktop, and Windsurf.
  • 🎯 Deterministic & Reliable: 100% predictable input/output contracts with full JSON Schema validation.
  • 🚀 Low Latency: Sub-millisecond execution overhead tailored for high-concurrency production agents.

🏗️ Architecture & Workflow

graph LR
    User([🌐 User / AI Agent]) -->|JSON-RPC Request| MCP[⚡ MCP Server / CLI]
    MCP -->

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