bmad-advanced-elicitation

Name: bmad-advanced-elicitation
Availability: InStock
Author: ThuanTan2060

Apply iterative critique methods to refine LLM output.

Updated May 17, 2026

Search Tags:#quality improvement #iterative refinement #red teaming #method selection #prompt workflow #deep critique #llm elicitation

Ready to run

npx skills add https://github.com/thuantan2060/facebook-sale-tracking --skill bmad-advanced-elicitation-thuantan2060

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: bmad-advanced-elicitation
Source: https://github.com/thuantan2060/facebook-sale-tracking/tree/main/.agents/skills/bmad-advanced-elicitation
Command: npx skills add https://github.com/thuantan2060/facebook-sale-tracking --skill bmad-advanced-elicitation-thuantan2060

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you turn an LLM’s first draft into a stronger, more accurate, and more insightful result by forcing deeper reconsideration and structured refinement.

Core Features & Use Cases

Method-driven critique loop: Loads a registry of elicitation methods and applies the best-matching ones to the current draft.
Interactive selection workflow: Lets users choose 1–5 methods, reshuffle options, list all methods, or proceed once the output is improved.
Iterative enhancement: Applies each selected method in order, preserving improvements and returning an enhanced version to the calling flow for acceptance.

Quick Start

Ask the AI to run Advanced Elicitation on your latest draft and choose a critique method from the presented options.

Frequently Asked Questions about bmad-advanced-elicitation

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

FAQPage Schema

How do I improve LLM output quality through iterative refinement?▼

You can improve LLM output quality by applying iterative refinement techniques like Socratic questioning and red-teaming to force structured reconsideration of a draft. This method-driven deep critique returns an enhanced version for your explicit acceptance.

What is deep critique and how does it work with prompt workflows?▼

Deep critique in prompt workflows loads elicitation methods from a registry, selects relevant approaches, and executes them in a controlled loop to systematically identify weaknesses and enhance generated text through iterative refinement.

Can I use red teaming and first-principles thinking to revise AI generated content?▼

Yes, you can apply red teaming and first-principles thinking to revise AI generated content. The system interactively selects these elicitation methods from a loaded registry and applies them to strengthen analysis and accuracy.

How do I apply Socratic questioning to an existing LLM draft?▼

Trigger an advanced elicitation workflow that presents method options, select Socratic questioning from the list, and let the controlled loop execute revisions before returning the enhanced output for your review.

Does iterative elicitation require any specific dependencies or setup?▼

Iterative elicitation requires no external dependencies, but needs a pre-existing LLM draft to critique and access to a local methods registry file to load and select appropriate refinement techniques.

When should I avoid using method-driven critique loops?▼

Avoid method-driven critique loops for straightforward tasks not requiring deep analysis or when a fast, single-pass response suffices, as iterative refinement adds execution time and interactive selection steps.