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Run-Length Encoding (RLE) and Delta-ZigZag differential integer serialization engine

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genpark-run-length-encoding-rle-delta-skill

GitHub Stars Python 3.9+ License: MIT Zero External Dependencies MCP Ready

Run-Length Encoding (RLE) and Delta-ZigZag differential integer serialization engine

Part of the GenPark Autonomous Agent Matrix, developed for production AI agents operating across local and distributed enterprise networks.


🏗️ Architecture

flowchart TD
    A[Raw Data Stream / Text] --> B[genpark-run-length-encoding-rle-delta-skill]
    B --> C[Pure Python Standard Library Compression Engine]
    C --> D[Optimal Compact Bitstream / Token Sequence]
    B --> E[MCP Protocol Endpoint stdio]
    E --> F[Cursor / Claude Desktop / Windsurf Integration]
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🚀 Quickstart

Native Python Execution

python example_usage.py

Standard Library Verification

from client import *

MCP Server (Claude Desktop / Cursor)

{
  "mcpServers": {
    "genpark-run-length-encoding-rle-delta-skill": {
      "command": "python",
      "args": ["-m", "genpark_run_length_encoding_rle_delta_skill.mcp_server"]
    }
  }
}

📄 License

MIT License.

About

Run-Length Encoding (RLE) and Delta-ZigZag differential integer serialization engine

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