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Layer Definitions

layer-definitions

Provide L1-L5 pedagogy layer reference for the AI-Native Robotics Textbook. Use when assigning layers to content, understanding layer requirements, or validating layer progression.

mattnigh/skills_collection0installs24starsProductivity & Planning

SKILL.md

Full skill instructions

Layer Definitions

Instructions

When determining pedagogical layers:

  1. Assess the content's AI involvement level
  2. Match to the appropriate layer (L1-L5)
  3. Ensure prerequisites from lower layers are met
  4. Validate layer progression is logical

Layer Overview

LayerNameAI InvolvementStudent Role
L1ManualNoneFull manual work
L2CollaborationAssistedAI helps after understanding
L3IntelligenceTemplatedUsing AI templates/​skills
L4Spec-DrivenGuidedAI generates from specs
L5Full AutonomyAutonomousAI-driven end-to-end

Layer Selection Guide

Choose L1 when:

  • Teaching foundational concepts
  • Student must understand without AI assistance
  • Building mental models

Choose L2 when:

  • Student understands the concept
  • AI can provide extensions or variations
  • Collaboration enhances learning

Choose L3 when:

  • Teaching reusable patterns
  • Introducing AI templates and skills
  • Building on L1-L2 understanding

Choose L4 when:

  • Working with specifications
  • AI generates implementation from design
  • Integration of multiple components

Choose L5 when:

  • End-to-end autonomous workflows
  • Student orchestrates AI agents
  • Capstone projects

Reference

See layers.md for detailed layer descriptions.