bmad-advanced-elicitation

To refine LLM output, this skill applies structured elicitation techniques loaded from CSV sources to critique and improve recent content. It presents selectable refinement methods and returns the enhanced version for your explicit approval.

Method-driven elicitation pushes a language model to reconsider and critique its recent output using specific structured techniques. This enforces an exact execution order and halt conditions to ensure generated content becomes clearer and more rigorous.

Yes, you can perform red-team or pre-mortem risk analyses on generated designs. The skill deepens written explanations and performs risk analyses by enforcing ordered execution and requiring explicit confirmation before applying changes.

You select elicitation techniques through an interactive method registry that presents one to five options. You can reshuffle options, list all available methods, or use direct execution paths for iterative refinement.

Yes, this skill requires explicit user confirmation before applying changes. It enforces a controlled execution flow that halts on defined conditions and returns the enhanced content for your final approval.