bmad-advanced-elicitation

Apply elicitation methods from methods.csv to iteratively refine LLM draft sections.

36|16|Updated May 1, 2026
One-click install
npx skills add https://github.com/tronghieu/lumina-wiki --skill bmad-advanced-elicitation-tronghieu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-advanced-elicitation
Source: https://github.com/tronghieu/lumina-wiki/tree/main/.agents/skills/bmad-advanced-elicitation
Command: npx skills add https://github.com/tronghieu/lumina-wiki --skill bmad-advanced-elicitation-tronghieu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, and includes scripts (resource) components.

What problem does it solve?

This Skill helps fix weak reasoning, shallow outputs, and missed improvement opportunities in a recent LLM draft by forcing deeper reconsideration and iterative enhancement.

Core Features & Use Cases

  • Method-driven refinement loop: Loads a registry of elicitation methods and applies selected techniques to the exact section you want to improve.
  • User-guided selection UI: Lets you choose 1–5 targeted improvement methods, reshuffle options, or list all methods to pick by name.
  • Interactive apply-or-discard control: Shows the enhanced result, asks whether to apply the changes, and then waits for your decision.
  • Context-sensitive method selection: Analyzes content type, complexity, stakeholders, risk, and creative potential to choose the most suitable techniques.

Quick Start

Ask the agent to run bmad-advanced-elicitation on your last generated section so it can present improved content and request confirmation before applying changes.

Frequently Asked Questions about bmad-advanced-elicitation

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

FAQPage Schema
How do I critique and improve a weak draft generated by an LLM?

To improve a weak LLM draft, apply advanced elicitation methods like Socratic questioning or red-team reviews that force deeper reconsideration and iterative refinement of the text.

What is iterative refinement using Socratic questioning and red-team review?

Iterative refinement using Socratic questioning and red-team review is a method-driven process that applies targeted critique techniques to challenge assumptions and strengthen argumentation in a specific document section.

How do I apply first principles and pre-mortem analysis to enhance document sections?

You apply first principles and pre-mortem analysis by loading a registry of elicitation methods, selecting suitable techniques based on content complexity and risk, and iterating execution on the chosen document section.

Does iterative LLM critique require Python to run?

Yes, iterative LLM critique requires Python3 as a dependency to load the elicitation methods registry from methods.csv and execute the scripts for applying the refinement techniques.

Can I selectively choose which elicitation methods to use for document editing?

Yes, you can selectively choose elicitation methods for document editing through a user-guided interface that lets you pick 1 to 5 targeted techniques, reshuffle options, or list all methods by name.

When should I not use automated method selection for draft rewriting?

You should not use automated method selection for draft rewriting when you need immediate changes without confirmation pauses, as the process halts to request your apply-or-discard decision before finalizing.