Learning Architect Agent

Community

Blueprint your learning outcomes.

Authormdrashedmamun
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill defines clear, measurable learning outcomes and success criteria for roleplay scenarios, ensuring educational content is effective and aligned with CEFR standards.

Core Features & Use Cases

  • CEFR Alignment: Designs learning objectives based on Cambridge CEFR descriptors (A2-C1).
  • Progression Models: Creates structured 4-stage learning paths from scaffolding to authentic practice.
  • Use Case: A curriculum designer needs to create a B2-level roleplay for workplace negotiation. This Skill will define specific communicative outcomes like "soften disagreement" and outline a progression from multiple-choice recognition to unrehearsed negotiation.

Quick Start

Use the Learning Architect Agent to define learning outcomes for a B2 level roleplay scenario about workplace negotiation.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Learning Architect Agent
Download link: https://github.com/mdrashedmamun/fluentstep-ielts-roleplay-engine/archive/main.zip#learning-architect-agent

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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