What problem does it solve? Without a pre-response gate, AI agents often jump straight into generating output with the wrong scope or abstraction level, producing answers that miss the audience's actual needs. This Skill enforces an Audience-First Response Protocol that classifies each query and declares scope before any substantive work begins. ## Core Features & Use Cases - Query Classification: Sorts incoming requests into type A, B, C, or D before any downstream methodology stage runs. - Scope Declaration: Forces an explicit statement of scope and abstraction level calibrated to the audience. - Canonical Resolution: Acts as a thin, read-only wrapper that locates the canonical skill file in the orama-system repository via environment variables or a bounded git-based search, never modifying anything while loading. - Use Case: Before asking an agent to draft a technical architecture proposal, the gate classifies the query type and sets the right abstraction level so the response matches the intended audience. ## Quick Start Ask the agent to apply the audience-first response protocol to classify and scope your request before generating its answer.
