rlm-project-assistant

What problem does it solve?

This Skill streamlines the setup and operation of the RLM (Recursive Language Models) Orchestrator, enabling the processing of extremely large text contexts that exceed typical LLM limitations.

Core Features & Use Cases

• Rust Toolchain Setup: Installs Rust with necessary WASM targets and configures build environments (e.g., MSVC on Windows).
• LLM Provider Configuration: Sets up connections to local Ollama instances or cloud-based APIs like LiteLLM/DeepSeek.
• Large Context Processing: Enables querying and analysis of files exceeding 10MB, up to 64MB or more.
• Troubleshooting: Addresses common build and runtime errors associated with RLM and WASM compilation.
• Use Case: You need to analyze a 50MB JSON log file for specific error patterns. This Skill will guide you through setting up RLM, configuring a suitable LLM provider, and executing the query to find all occurrences of "critical error".

Quick Start

Follow the steps in SKILL.md to install Rust, configure your LLM provider, and build the RLM orchestrator.