RLM Synthesis Skill

What problem does it solve?

This Skill addresses the limitation of standard LLMs in processing extremely large contexts, enabling the analysis and synthesis of information from vast amounts of text that far exceed typical token limits.

Core Features & Use Cases

• Infinite Context Processing: Leverages Recursive Language Models (RLM) to handle contexts of 10 million tokens or more by treating large documents as navigable external memory.
• Automated Chunking & Parallelization: Intelligently splits large inputs into manageable pieces and utilizes sub-LLM calls for concurrent analysis, speeding up processing.
• Use Case: Synthesize the entire architecture of a large software project by feeding its codebase to the RLM, or conduct research by analyzing a vast collection of documents.

Quick Start

Use the rlm-synthesis skill to find all mentions of 'X' in the codebase located at '/path/to/files'.