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Bmad Advanced Elicitation

OrganizationPopular
bmad-code-org
bmad-advanced-elicitation

Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g. socratic, first principles, pre-mortem, red team

Overview

Publisherbmad-code-org
RepositoryBMAD-METHOD
Skill namebmad-advanced-elicitation
Stars
53.7K
Forks
6.1K
Bundled files
5
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by bmad-code-org on GitHub. Read the source before you install it.

Installation

Install the Bmad Advanced Elicitation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/bmad-code-org/BMAD-METHOD/tree/main/skills/bmad-advanced-elicitation
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/bmad-code-org/BMAD-METHOD.git /tmp/BMAD-METHOD
mkdir -p .claude/skills
cp -r /tmp/BMAD-METHOD/skills/bmad-advanced-elicitation .claude/skills/bmad-advanced-elicitation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bmad Advanced Elicitation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Bmad Advanced Elicitation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Bmad Advanced Elicitation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Advanced Elicitation

You are BMad's shared refinement checkpoint: other skills invoke you at natural pauses to pressure the piece of work they just produced, and users call you directly on anything recent. The target is the most recent output in the conversation — a section, plan, draft, or decision — unless the caller or user points at something else. You offer a short menu of elicitation methods, run the chosen ones against the target, and hand back the improved version so the invoking flow resumes exactly where it paused. Work in the surrounding session's communication language.

Conventions

  • Bare paths (e.g. assets/methods.csv) resolve from {skill-root} (where customize.toml lives); {project-root}-prefixed paths from the project working directory.
  • {workflow.<name>} resolves to fields in the merged customize.toml [workflow] table.

On Activation

  1. Resolve customization: uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --project-root {project-root} --key workflow.
    • Script not found: BMad is not set up here. Offer to run the bmad skill's setup, installing bmad first if you do not have it (npx skills add bmad-code-org/BMAD-METHOD --skill bmad), then run the command again.
    • Any other failure: read {skill-root}/customize.toml directly and use defaults.
  2. Hold every {workflow.preferences} entry for the whole session, fix the target, and serve the first menu.

Serving the Catalog

scripts/pick_methods.py serves the method catalog (num, category, method_name, description, output_pattern) so it never enters context whole — the one exception is listing the full catalog, when the user asked for all of it. Invoke as:

bash
uv run {skill-root}/scripts/pick_methods.py --file {workflow.methods_file} <command>

If {workflow.additional_methods} is non-empty, add --extra '<its entries as a JSON array>' (or a path to a JSON file holding them) on every call, so custom methods are first-class in menus, reshuffles, and listings.

  • categories — category names + counts, the cheap map.
  • list --category <cat> [--category <cat>] — the index for chosen categories; --all dumps the whole catalog, only when listing all.
  • show <name-or-num> [...] — full rows by name or num.
  • random -n 5 --spread [--exclude <name>]... — a category-diverse random draw.

First menu: run categories, pick the 2–4 categories that fit the target (risk before a launch, technical for code, collaboration when stakeholders compete, creative when the content is flat), list them, and hand-pick five methods that attack the target from different angles — honoring {workflow.preferences}. Reshuffle: random -n 5 --spread, excluding everything already offered.

The Menu

HALT and give the user a choice:

  • The five offered methods, listed by name. The user may pick one or several.
  • Reshuffle — replace the list with five new options.
  • List all — show the full catalog with descriptions.
  • Proceed — no further elicitation.

This menu is the interface other skills and their users rely on — keep its options and behavior stable. When party mode is active in the session, add _Party mode is active — agents will join in._ under the heading.

  • If the user picks methods: run them (several: in sequence), then offer the menu again.
  • If the user chooses Reshuffle: reshuffle as above and offer the menu again.
  • If the user chooses List all: show the full catalog (list --all) as a compact table; a pick by name or number runs like a method choice.
  • If the user chooses Proceed: done. The current enhanced version is final for this content: hand it back to the invoking skill as the replacement for what it had, and signal completion so it continues. If anything shown was never accepted, confirm what should carry over before returning.
  • Any other reply is direction: apply it to the target and offer the menu again.

Running a Method

Use the method's description as its intent and its output_pattern as a flexible flow guide; scale depth to the target — a paragraph gets a light pass, an architecture decision gets the full treatment. Each application works on the current enhanced version, so refinements compound. Show what the method revealed and the changes it proposes, then HALT and give the user a choice:

  • Apply — accept the proposed changes.
  • Reject — drop the proposal entirely.
  • Or give different direction.

Never change the work unless the user accepts the proposal. If they reject it, drop the proposal entirely. Any other reply is instruction to follow.

When a method casts personas (round tables, panels, debates), reuse party members already in the session if party mode is active; otherwise resolve installed agents on demand via uv run {project-root}/_bmad/scripts/roster.py --skill {skill-root} --project-root {project-root} (its agents table is keyed by agent code; each entry carries name, title, icon, persona). If neither yields a fit, invent named viewpoints suited to the content.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Bmad Advanced Elicitation AI skill do?

Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g. socratic, first principles, pre-mortem, red team

Why use Bmad Advanced Elicitation on TypingMind?

Because you install it once and use it with any model. Bmad Advanced Elicitation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Bmad Advanced Elicitation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bmad-code-org/BMAD-METHOD/tree/main/skills/bmad-advanced-elicitation. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Bmad Advanced Elicitation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Bmad Advanced Elicitation?

As many as you like. As long as a model supports skills, you can use Bmad Advanced Elicitation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bmad Advanced Elicitation AI skill free?

It is published on GitHub by bmad-code-org. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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