Verified:GitHub

bmad-advanced-elicitation

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

36|16|Updated May 1, 2026

Search Tags:#document editing #socratic questioning #elicitation #red team #iterative refinement #method selection #llm critique

Ready to run

npx skills add https://github.com/tronghieu/lumina-wiki --skill bmad-advanced-elicitation-tronghieu

💬 Prompt for ChatGPT / Claude Chat▼

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.