homework

Extract homework instructions from day-specific Markdown reference files.

1|Updated Mar 30, 2026
One-click install
npx skills add https://github.com/Driving-Teacher/driving-teacher-ai-native --skill homework
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: homework
Source: https://github.com/Driving-Teacher/driving-teacher-ai-native/tree/main/.claude/skills/homework
Command: npx skills add https://github.com/Driving-Teacher/driving-teacher-ai-native --skill homework

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill guides learners through a Day-based homework flow by selecting a Day and retrieving its instructions from referenced documents, eliminating manual lookup and confusion.

Core Features & Use Cases

  • Day-based homework retrieval: choose a Day (1-4) to view its step-by-step tasks.
  • Exact content delivery: outputs the content under "## 출력할 내용" exactly as written, including code blocks.
  • Educational workflow integration: ideal for AI-native camp contexts where participants share results in Slack.

Quick Start

Enter /homework and select a Day to view its homework details.

Frequently Asked Questions about homework

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

FAQPage Schema
How do I retrieve specific markdown homework instructions for a selected day?

Markdown homework retrieval works by loading the referenced day{N}-homework.md file and extracting the exact content under the '## 출력할 내용' section, preserving all original formatting and code blocks for the selected day.

What happens if a requested day's homework reference file is missing?

When a requested day's homework reference is missing or unreadable, the system returns a clear error message displaying the available Day options, allowing you to select a valid instruction set for your workflow.

Does the homework content extraction preserve original code block formatting?

Yes, content extraction preserves original code block formatting exactly as written. The system reads the markdown reference file and outputs the designated section's content without altering the structure or modifying the embedded code blocks.

Can I use this day-based homework flow for an AI-native camp context?

Yes, this day-based homework flow is designed for AI-native camp contexts. It integrates into educational workflows by guiding learners through step-by-step tasks, making it ideal for environments where participants share results in Slack.

How do I select a specific day to view step-by-step homework tasks?

To select a specific day, enter the homework command and choose a Day number between 1 and 4. The system then retrieves and displays the step-by-step tasks and instructions associated with that selected day.