gemini-rlm-min

SKILL.md

Purpose: Provide a lightweight, CLI-based implementation of the Recursive Language Model architecture using Google's Gemini models. This skill allows for processing extremely large documents by orchestrating chunking, sub-LLM processing, and synthesis entirely via a Python script and the Gemini API.

| Root LLM | gemrlm.py (Orchestrator) | Gemini 2.0 Flash | | Sub-LLM | gemrlm.py (Chunk Processor) | Gemini 2.0 Flash | | External Environment | scripts/rlmrepl.py | Python 3 |

This skill serves as a high-speed, low-overhead alternative to the full rlm-context-manager when:

Implementación mínima de modelos de lenguaje recursivo (RLM) utilizando Gemini 2.0 Flash y un REPL de Python local. Permite el procesamiento de contextos masivos a través de Gemini CLI. Fuente: starwreckntx/irp__methodologies-.

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