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Recursive Language Model Loop for Large Context Processing
nullThe RLM skill enables efficient processing of large contexts that exceed typical input limits by utilizing a persistent Python REPL. It allows for recursive querying and aggregation of data from extensive files, logs, or codebases, making it ideal for tasks that require comprehensive analysis, such as counting, summarizing, or classifying items across vast datasets. This skill is particularly useful when the answer depends on a significant portion of the context, ensuring that the entire dataset is effectively utilized without overwhelming the model's input capacity.