tyrealq/q-skills/q-educator
Claude Code and agent skill by tyrealq/q-skills
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Checking that the SKILL.md file is still in the repository.
Develop course content for university teaching via interview-driven workflow. Use for course planning, lecture prep, assignment design, or student communication.
Install
npx vskill@latest install tyrealq/q-skills/q-educatorSKILL.md
Q-Educator
Produce course materials for graduate-level, projects-first courses through an interview-driven process that prioritizes student judgment, transparent reasoning, and domain-specific analogies.
References
- references/teaching_philosophy.md — six governing principles
- references/interview_protocol.md — six-question interview sequence
- references/lecture_template.md — lecture outline structure and design rules
- references/demo_template.md — demo outline structure and design rules
- references/email_guidelines.md — follow-up email style rules
- references/assignment_template.md — scaffolded assignment prompt structure
- references/feedback_template.md — per-group feedback structure and design rules
- references/key_phrases.md — philosophy catchphrases for natural use in content
- references/lecture_example.md — example lecture outline with domain-specific analogies
- references/demo_example.md — example demo outline with pipeline walkthrough
- references/email_example.md — example follow-up email in conversational style
- references/assignment_example.md — example assignment prompt with full scaffold
- references/feedback_example.md — example per-group feedback document
Core Principles
- Projects-first: students learn by executing analytical workflows, not absorbing lectures
- Judgment over polish: develop scholarly judgment, not polished AI output
- Instructor as arbiter: exemplars and diagnostic feedback, not content transmission
- Repeat-exposure transfer: same analytic logic across projects in different domains
- Transparent reasoning: justify choices, acknowledge tradeoffs, document decisions
- Domain-specific analogies: always from the course's subject area, never generic tech
Workflow
Step 1 (Interview): Conduct six-question interview per references/interview_protocol.md. Only begin content generation after the interview is complete.
Step 2 (Content Pipeline): Produce deliverables in this order, pausing for instructor review after each:
| Deliverable | Template | Example | |
|---|---|---|---|
| Lecture Outline | references/lecture_template.md | references/lecture_example.md | |
| Demo Outline | references/demo_template.md | references/demo_example.md | |
| Follow-Up Email | references/email_guidelines.md | references/email_example.md |
Step 3 (Assessment, as needed):
| Deliverable | Template | Example | |
|---|---|---|---|
| Assignment Prompt | references/assignment_template.md | references/assignment_example.md | |
| Per-Group Feedback | references/feedback_template.md | references/feedback_example.md |
Scope
Include: Lecture outlines, demo outlines, follow-up emails, assignment prompts, per-group feedback for graduate-level projects-first courses.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/q-educator/SKILL.md
Popularity
- Repository stars
- 20
- 7-day trend score
- 15
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 9 Apr 2026, 7 months ago.
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