agent-response-modes

Define response modes and QTB pedagogy rules for AI learning coach interactions.

1|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/Seth-arc/myelin-platform --skill agent-response-modes
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-response-modes
Source: https://github.com/Seth-arc/myelin-platform/tree/main/primary_build_source/docs/skills/3/mnt/user-data/outputs/agent-response-modes
Command: npx skills add https://github.com/Seth-arc/myelin-platform --skill agent-response-modes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill defines and manages how the Tau AI learning coach delivers responses to learners, ensuring clarity, pedagogical soundness, and appropriate modality.

Core Features & Use Cases

  • Response Mode Management: Supports Text, Guided Media, and Live Conversational modes, each with specific rendering and API requirements.
  • Mode Switching Logic: Handles learner-initiated mode changes, respecting tenant feature flags.
  • Pedagogical Framework: Enforces the QTB (Question-Think-Bridge) pattern for instructional responses.
  • Content Referencing: Manages referencing approved content (videos, documents) within responses.
  • Use Case: When a learner needs a visual aid to understand a concept, the agent can switch to 'Guided Media' mode and embed a relevant video from the approved content registry, providing a richer learning experience.

Quick Start

Use the agent-response-modes skill to define the QTB pedagogy pattern for instructional responses.

Frequently Asked Questions about agent-response-modes

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

FAQPage Schema
How do I control how an AI learning coach delivers responses to learners?

An AI learning coach delivers responses using Text, Guided Media, and Live Conversational modes. Each mode has specific rendering and API requirements to ensure pedagogical soundness and appropriate modality for the learner's context.

What is the QTB pedagogical pattern for conversational AI?

The QTB pedagogical pattern stands for Question-Think-Bridge, which conversational AI enforces for instructional responses. It structures agent interactions to guide learners effectively through content delivery.

How do I switch an AI agent to guided media mode for content referencing?

To switch an AI agent to guided media mode, use learner-initiated mode changes that respect tenant feature flags. This mode manages referencing approved content like videos within responses for a richer learning experience.

Can I embed approved videos into AI agent instructional responses?

Yes, you can embed approved videos into AI agent instructional responses using the Guided Media mode. The agent references content from an approved content registry to provide a richer, visual learning experience.

How does an AI learning coach handle mode switching and logging requirements?

An AI learning coach handles mode switching through learner-initiated requests that respect tenant feature flags. It manages response classification, citation formats, delivery timing, and logs all agent interactions to meet requirements.