What problem does it solve? Creating a new subordinate agent profile in the BioDockify AI (Agent Zero) framework requires knowing where profiles live, the exact agent.yaml schema, and how prompt inheritance works. This Skill guides the process end-to-end so profiles are valid, discoverable, and correctly scoped. ## Core Features & Use Cases - Progressive intake interview: Asks only the highest-value questions first, inferring sensible defaults instead of overwhelming the user with a long form. - Blueprint-first generation: Produces a strict AgentProfileBlueprint JSON (schema agent_zero.agent_profile_blueprint.v1) as the single source of truth before writing any files. - Full customization surfaces: Covers agent.yaml metadata, agent.system.main.specifics.md prompt overrides, profile-scoped _model_config LLM settings, custom Python tools, and lifecycle extensions. - Use Case: A user says "create a data analyst agent". The Skill interviews briefly, confirms a blueprint, then writes /a0/usr/agents/data-analyst/agent.yaml plus a tailored specifics.md prompt, ready for delegation via call_subordinate. ## Quick Start Ask the assistant to create a new agent profile for your desired specialty and confirm the proposed blueprint before files are written.