bmad-advanced-elicitation

Improve LLM output through iterative elicitation with structured escalation.

Updated Feb 11, 2026
One-click install
npx skills add https://github.com/mschuerig/peach-ios --skill bmad-advanced-elicitation-mschuerig
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-advanced-elicitation
Source: https://github.com/mschuerig/peach-ios/tree/main/_bmad/core/skills/bmad-advanced-elicitation
Command: npx skills add https://github.com/mschuerig/peach-ios --skill bmad-advanced-elicitation-mschuerig

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Pushes the LLM to reconsider, refine, and improve its recent output.

Core Features & Use Cases

  • Enforces a deterministic elicitation flow by loading and applying methods from a registry
  • Performs iterative content enhancement by applying selected methods to the current draft
  • Preserves provenance and creates auditable versions of the refined content

Quick Start

Apply the Advanced Elicitation Workflow to an existing document to produce an improved version.

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 through iterative content refinement?

Iterative content refinement improves LLM output by applying a deterministic elicitation flow to recent drafts. It loads methods from a registry to systematically reconsider and enhance content, returning an auditable, improved version.

What is structured elicitation for content review?

Structured elicitation for content review is a workflow that enforces an exact step order to refine documents. It uses an agent-manifest and methods registry to drive iterative enhancement, ensuring structured escalation and provenance tracking.

How do I apply an elicitation workflow to an existing document?

To apply an elicitation workflow to an existing document, the process loads a methods.csv and agent-manifest to drive the flow. It enforces a strict step order, applying selected methods to the current draft to produce an enhanced content version.

Do I need a methods registry and agent-manifest to enforce elicitation steps?

Yes, a methods registry and agent-manifest are required to enforce the deterministic elicitation flow. These components drive the step order and apply the selected refinement methods to preserve provenance and create auditable versions.

Can I use iterative elicitation for prompt refinement across multiple documents?

Iterative elicitation applies to content review and refinement tasks across both prompts and documents. It performs structured escalation wherever a deterministic flow is needed to improve recent LLM output and generate enhanced versions.

What is the best way to ensure provenance when refining LLM content?

The best way to ensure provenance during LLM content refinement is using a deterministic elicitation workflow. It preserves provenance by applying registered methods in an exact step order, creating auditable versions of the enhanced content.