flow-spec

To create a structured research specification, you need to define the project scope, actors, constraints, and complexity. This skill automates that process by asking targeted questions and synthesizing your answers into a detailed NLSpec document to guide development.

An NLSpec document is a natural language specification that outlines system design details for AI research projects. You need one when starting a new feature or system to ensure all constraints, actors, and complexity considerations are accounted for before development begins.

Yes, you can automate research documentation by using an AI-assisted process that guides you through critical clarifying questions. This reduces manual effort by systematically capturing your inputs and generating a comprehensive specification document automatically.

The best way to define project scope and constraints is through a guided questioning process. By interacting with an automated system to specify actors and complexity, you ensure all key considerations are captured and synthesized into a structured specification.

No specific dependencies are required to generate an AI feature specification. The skill operates using internal scripts to interact with you, validate provider availability, and synthesize your inputs into the final structured report without external setup.

Your AI research documentation may lack clarity because project scope, actors, constraints, and complexity were not systematically defined. Using a structured specification writer ensures these critical elements are captured through guided questions before development.