q-educator

Develop university course materials through an interview-driven, projects-first teaching philosophy.

24|1|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/TyrealQ/q-skills --skill q-educator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: q-educator
Source: https://github.com/TyrealQ/q-skills/tree/main/skills/q-educator
Command: npx skills add https://github.com/TyrealQ/q-skills --skill q-educator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill assists educators in developing comprehensive and engaging university course materials, from lecture outlines to assignment prompts and student feedback, by encoding a specific pedagogical philosophy.

Core Features & Use Cases

  • Content Generation: Produces lecture outlines, demo outlines, student emails, assignment prompts, and per-group feedback.
  • Pedagogical Framework: Employs a projects-first, judgment-over-polish teaching philosophy with domain-specific analogies.
  • Interview-Driven: Guides content creation through a structured interview process with the instructor.
  • Use Case: An instructor needs to create a lecture outline for a new week of a graduate-level course. They use q-educator, which first interviews them about the week's goals, previous session feedback, and dataset, then generates a detailed outline incorporating domain-specific analogies and interactive elements.

Quick Start

Use the q-educator skill to draft a lecture outline for a new course week.

Frequently Asked Questions about q-educator

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

FAQPage Schema
How do I develop university course materials using a projects-first teaching philosophy?

You can develop university course materials using a projects-first philosophy by employing an interview-driven process that generates lecture outlines, demo outlines, and assignment prompts based on your specific course goals and datasets.

What is the best way to create a lecture outline for a graduate-level course?

The best way to create a graduate-level lecture outline is through a structured interview process that captures your weekly goals and previous session feedback, then generates a detailed outline incorporating domain-specific analogies and interactive elements.

Can I generate assignment prompts and student feedback for project-based courses?

Yes, you can generate assignment prompts and per-group student feedback for project-based courses by utilizing a pedagogical framework that prioritizes judgment over polish and uses domain-specific analogies to guide learning.

Does this course development approach support iterating on existing curriculum content?

Yes, this course development approach supports iteration and refinement of curriculum content, allowing you to continuously update lecture outlines, student emails, and assignment prompts as your graduate-level course progresses.

What pedagogical principles guide generating course curriculum with an interview-driven method?

Generating course curriculum with an interview-driven method is guided by six core teaching principles: projects-first, judgment over polish, instructor as methodological arbiter, repeat-exposure transfer, transparent reasoning, and domain-specific analogies.