RLM Context Scout

What problem does it solve?

This Skill enables agents to probe the shape of massive data before reading it, preserving the context window for the signal that matters.

Core Features & Use Cases

• Structural probing: infer the skeleton (headers, sections, metadata) without loading full content.
• Strategic sampling: retrieve representative snippets to guide downstream processing.
• Map construction: build a navigable map of where relevant information lives for targeted reads.
• Use Case: when faced with a large document, use the scout first to identify relevant sections and plan subsequent reads.

Quick Start

Use the Context Scout to outline the data structure of a large dataset by performing a non-invasive reconnaissance pass and returning a high-level map.