home / skills / zeeshan080 / ai-native-robotics / lesson-structure

lesson-structure skill

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This skill provides standardized lesson markdown templates for the AI-Native Robotics Textbook, ensuring complete sections and consistent pedagogy.

npx playbooks add skill zeeshan080/ai-native-robotics --skill lesson-structure

Review the files below or copy the command above to add this skill to your agents.

Files (2)

SKILL.md

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---
name: lesson-structure
description: Provide lesson markdown templates for the AI-Native Robotics Textbook. Use when writing lessons, structuring educational content, or validating lesson format.
allowed-tools: Read
---

# Lesson Structure

## Instructions

When creating lesson content:

1. Follow the standard lesson template
2. Include all required sections
3. End with "Try With AI" section
4. Assign appropriate pedagogical layer

## Required Sections

Every lesson MUST include:

1. **Learning Objectives** - What students will learn
2. **Prerequisites** - Required prior knowledge
3. **Main Content** - Core lesson material
4. **Hands-On Exercise** - Practical application
5. **Reflection Questions** - Self-assessment
6. **Try With AI** - AI-assisted extension (FINAL SECTION)

## Lesson Metadata

```yaml
---
title: Lesson Title
layer: L1-L5
duration: 45-90 minutes
prerequisites:
  - Prior lesson or concept
learning_objectives:
  - Objective 1
  - Objective 2
---
```

## Reference

See [template.md](template.md) for the full lesson template.

Overview

This skill generates lesson markdown templates tailored for the AI-Native Robotics Textbook, ensuring each lesson follows the platform's required structure and pedagogical layering. It produces ready-to-use lesson metadata and sections so authors can focus on content, not formatting. Every output enforces the mandatory sections and concludes with a "Try With AI" extension for applied, AI-guided exploration.

How this skill works

Given a lesson topic and target layer, the skill emits a complete lesson scaffold in markdown with YAML metadata, required sections, and suggested content prompts. It validates that the template includes Learning Objectives, Prerequisites, Main Content, Hands-On Exercise, Reflection Questions, and the final Try With AI section. The skill can also assign an appropriate pedagogical layer (L1–L5) and recommend duration ranges.

When to use it

Drafting new lessons for the AI-Native Robotics Textbook
Converting lecture notes into a standardized lesson format
Validating that a lesson includes all required sections
Preparing curriculum packages with consistent metadata
Creating practice and assessment prompts for hands-on labs

Best practices

Start with clear, measurable learning objectives tied to robotic competencies
Set prerequisites narrowly to avoid blocking motivated learners
Design hands-on exercises that map directly to objectives and include success criteria
Keep main content modular: concept, demonstration, and code/command snippets
Use the Try With AI section to scaffold AI-guided experiments and prompt examples

Example use cases

Produce a L2 lesson on sensor integration with YAML metadata and exercises
Validate an existing lesson draft and add a missing Reflection Questions section
Generate a 60-minute lesson scaffold for humanoid gait basics with hands-on tasks
Create AI-assisted extension prompts for model-based control experiments
Standardize a sequence of lessons into a cohesive module with consistent layers

FAQ

What pedagogical layers should I choose?

Select L1 for conceptual overviews, L2–L3 for guided practice and skills, and L4–L5 for project-based or research-focused work.

Is the Try With AI section mandatory?

Yes. Every lesson must end with a Try With AI section to encourage AI-assisted exploration and experimentation.