Learn

Conduct a structured knowledge acquisition session — surveying unfamiliar territory, building initial models, testing them through deliberate exploration, integrating findings into coherent understanding, and consolidating for durable retrieval.

When to Use

• Encountering an unfamiliar codebase, framework, or domain with no prior context
• A user asks about a topic outside current working knowledge and the answer requires genuine investigation, not recall
• Multiple conflicting sources or patterns exist and a coherent mental model needs to be built from scratch
• After remote-viewing surfaces intuitive leads that need systematic validation
• Preparing to teach a topic — the AI must first understand it deeply enough to explain it

Inputs

• Required: Learning target — a topic, codebase area, API, domain concept, or technology to understand
• Optional: Scope boundary — how deep to go (surface survey vs. deep expertise)
• Optional: User's purpose — why this knowledge matters (guides which aspects to prioritize)
• Optional: Known starting points — files, docs, or concepts already familiar