bmad-advanced-elicitation

Orchestrate iterative elicitation workflows to critique and refine model outputs.

Updated Apr 26, 2026
One-click install
npx skills add https://github.com/Wizarck/iguanatrader --skill bmad-advanced-elicitation-wizarck
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-advanced-elicitation
Source: https://github.com/Wizarck/iguanatrader/tree/main/skills/bmad-advanced-elicitation
Command: npx skills add https://github.com/Wizarck/iguanatrader --skill bmad-advanced-elicitation-wizarck

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Push the LLM to reconsider, refine, and improve its recent output, especially when users seek deeper critique or mention advanced critique methods (e.g., Socratic, first principles, pre-mortem, red team).

Core Features & Use Cases

  • Iterative elicitation flow: loads a method registry, selects relevant techniques, and applies them to the current content to generate improved drafts.
  • Structured option-handling: presents a ranked set of methods, allows reshuffling, listing all, or proceeding to finalize enhancements.
  • Safe guardrails: enforces reproducible steps, keeps a history of enhancements, and prompts for user confirmation before applying changes.
  • Use case: when a response needs deeper critique (Socratic questioning, first principles, pre-mortem, red team) to surface assumptions and improve clarity.

Quick Start

Initiate the elicitation flow to iteratively enhance the current content by selecting methods and applying them to produce an improved draft.

Frequently Asked Questions about bmad-advanced-elicitation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I apply Socratic questioning and first principles to critique an LLM output?

To apply red team and pre-mortem analysis to content, use an iterative elicitation workflow that loads a method registry, presents available critique options, applies the selected techniques to generate an improved draft, and prompts for user confirmation before finalizing enhancements.

What is the best way to iteratively refine model outputs without losing previous improvements?

The best way to iteratively refine model outputs is using a structured elicitation flow that enforces reproducible steps, keeps a history of progressive enhancements, and re-offers method choices after each application to ensure previous improvements are preserved.

How does the method registry workflow handle advanced content critique?

The method registry workflow handles content critique by loading available methods, presenting a ranked set of techniques, allowing users to reshuffle or list all options, applying the selected methods to the current content, and generating improved drafts based on those critiques.

Can I use structured elicitation methods to perform a pre-mortem on generated text?

Yes, you can use structured elicitation methods to perform a pre-mortem on generated text. The workflow applies advanced critique techniques to surface underlying assumptions and systematically improve the clarity and quality of the model's recent output.

When do I need an interactive elicitation process for content improvement?

You need an interactive elicitation process for content improvement when a response requires deeper critique, such as red team analysis or Socratic questioning, and when you want to iteratively enhance the text through structured, multi-step refinement with user confirmation.