rlm-context-scout
Reconnaissance techniques for exploring large contexts before reading them. Teaches agents to probe, filter, and map data structures without consuming context window.
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Reconnaissance techniques for exploring large contexts before reading them. Teaches agents to probe, filter, and map data structures without consuming context window.
Technical implementation guide for the RLM REPL environment. Covers code patterns, llm_query usage, answer signaling, and common implementation patterns.
Master skill for Recursive Language Model thinking — orchestrates long-context reasoning by treating prompts as environments, not inputs. Spawns sub-agents and manages recursive decomposition.
Self-monitoring skill that detects Context Rot symptoms and triggers protective measures. Implements the skill-loop pattern for persistent awareness.
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