deep-research-prompter

To generate a Russian master prompt for deep research, this Skill structures a self-contained protocol integrating Theory of Mind and System 2 reasoning. It outputs a ready-to-run framework defining an expert persona, search plan, and evidence standards for deterministic AI agent research sessions.

Theory of Mind integration in AI agent prompt engineering structures the master prompt to infer user goals, audience, and required depth. It enables the AI agent to model the researcher's intent, ensuring the step-by-step research strategy and final structured report align with expected outcomes.

Structuring a System 2 reasoning protocol for AI research involves defining explicit internal planning steps, checks, and evidence-based reasoning within the master prompt. This Skill creates that exact framework, ensuring advanced AI agents execute deliberate, step-by-step research strategies with deterministic outputs.

Yes, you can use this master prompt protocol for different research domains because it creates a repeatable, ready-to-run research architecture. You simply provide a chosen research topic, and the structured framework adapts its expert persona, search operators, and evidence standards to the specific domain.

A master prompt for deterministic AI agent outputs must include a clearly defined expert persona, task framing, internal planning steps, a search plan with operators, evidence standards, and a final structured report format. This Skill systematically assembles all these required components into a single Russian protocol.

No, this deep research prompter does not perform the online search or gather evidence itself. It strictly designs the self-contained master prompt and research architecture, providing the deterministic protocol that advanced AI agents subsequently execute to conduct the actual research.