genpark-agentic-prompt-compression-token-sieve-skill
Dynamic Few-Shot Agentic Prompt Compression & Token Sieve. Compresses multi-turn conversation history, strips verbose boilerplate and filler tokens, retains critical tool parameters and named entities, slashing inference costs by 40-60% deterministically.
genpark-agentic-prompt-compression-token-sieve-skill delivers robust, industrial-grade capabilities engineered for Autonomous Agentic Reasoning, Enterprise Safeguards, and Consumer Commerce Operations. Built exclusively on the Python standard library with zero external runtime dependencies, it integrates seamlessly as a native Model Context Protocol (MCP) server or an importable Python module.
⚡ How to use genpark-agentic-prompt-compression-token-sieve-skill
Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:
https://meshkore.com/agent/alphaparkinc-genpark-agentic-prompt-compression-token-sieve-skillCapabilities
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