Agent skill

Q Educator

by TyrealQ in TyrealQ/q-skills

Develop course content for university teaching via interview-driven workflow.

MITAuto-check passed

Install Q Educator

skills CLI
$ npx skills add TyrealQ/q-skills --skill q-educator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install TyrealQ/q-skills q-educator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/TyrealQ/q-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/q-educator .claude/skills/q-educator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
q-educator
GitHub stars
108
Token cost
~760 tokens
SKILL.md length
243 words
Files
14 (incl. references)
Skills in repo
16
Repo updated
First seen
Licence
MIT

At a glance

Develop course content for university teaching via interview-driven workflow.

  • Course planning
  • SKILL.md covers References, Core Principles, Workflow and Scope
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Assignment design

What it does

Q Educator is an agent skill from TyrealQ/q-skills. Develop course content for university teaching via interview-driven workflow. Use for course planning, lecture prep, assignment design, or student communication.

Its SKILL.md is about 760 tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including reference files (for example `references/assignment_example.md`, `references/assignment_template.md` and `references/demo_example.md`).

The repository describes itself as: End-to-end skills for academic writing, data analysis, teaching, and research communication. The licence is MIT.

When your agent uses it

  • Course planning
  • Assignment design
  • Student communication

Example prompts

  • “/q-educator”

What it can do on your machine

Read from SKILL.md and the folder at commit d8aaee7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Q Educator loads about 760 tokens when it runs, and up to ~9.9k if it reads all its reference files. Until then it costs about 43 tokens; SKILL.md has 243 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~760
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from TyrealQ/q-skills at commit d8aaee7, republished under its MIT licence (© TyrealQ). 243 words, ~760 tokens.

Download SKILL.mdSave it as .claude/skills/q-educator/SKILL.md (or your agent's skills folder). This skill also uses 13 other files; get the full folder from GitHub.
name
q-educator
description
Develop course content for university teaching via interview-driven workflow. Use for course planning, lecture prep, assignment design, or student communication.

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:

DeliverableTemplateExample
Lecture Outlinereferences/lecture_template.mdreferences/lecture_example.md
Demo Outlinereferences/demo_template.mdreferences/demo_example.md
Follow-Up Emailreferences/email_guidelines.mdreferences/email_example.md

Step 3 (Assessment, as needed):

DeliverableTemplateExample
Assignment Promptreferences/assignment_template.mdreferences/assignment_example.md
Per-Group Feedbackreferences/feedback_template.mdreferences/feedback_example.md

Scope

Include: Lecture outlines, demo outlines, follow-up emails, assignment prompts, per-group feedback for graduate-level projects-first courses.

© TyrealQ, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 13 other files (references) in skills/q-educator of TyrealQ/q-skills.

  • SKILL.md
  • references/assignment_example.md
  • references/assignment_template.md
  • references/demo_example.md
  • references/demo_template.md
  • references/email_example.md
  • references/email_guidelines.md
  • references/feedback_example.md
  • references/feedback_template.md
  • references/interview_protocol.md
  • references/key_phrases.md
  • references/lecture_example.md
  • references/lecture_template.md
  • references/teaching_philosophy.md

Open the folder on GitHubat commit d8aaee7

Compare with similar skills

Q Educator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Q Educator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Q Educator this skillTyrealQ/q-skills108—~760Automated safety check: PassMIT
Manim Video Productionbrowser-use/video-use28k6 repos~3kAutomated safety check: PassMIT
Logseq Review Workflow Evallogseq/logseq45k—~1kAutomated safety check: PassAGPL-3.0
Baoyu URL To Markdownsdyckjq-lab/llm-wiki-skill2.5k2 repos~3.2kAutomated safety check: PassNone
DeepTutor CLIHKUDS/DeepTutor41k—~2.8kAutomated safety check: PassApache-2.0
Obsidian CLIAtmosphere/atmosphere3.8k13 repos~795Automated safety check: PassApache-2.0

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Questions about Q Educator

What does Q Educator do?

Develop course content for university teaching via interview-driven workflow. Q Educator is an agent skill from TyrealQ/q-skills. Develop course content for university teaching via interview-driven workflow.

When should I use Q Educator?

Q Educator fits situations like: course planning; assignment design; student communication.

How do I install Q Educator in Claude Code?

Run `npx skills add TyrealQ/q-skills --skill q-educator -a claude-code`. Or copy the skill folder (skills/q-educator in TyrealQ/q-skills) into .claude/skills/q-educator in your project. Claude Code loads it when a task matches its description.

How do I install Q Educator in Codex?

Run `npx skills add TyrealQ/q-skills --skill q-educator -a codex`. Or copy the skill folder (skills/q-educator in TyrealQ/q-skills) into .agents/skills/q-educator in your project. Codex loads it when a task matches its description.

Can I use Q Educator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add TyrealQ/q-skills --skill q-educator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/q-educator, .gemini/skills/q-educator, .github/skills/q-educator and .opencode/skills/q-educator in your project.

What does Q Educator need to run?

SKILL.md names no scripts, command-line tools or credentials: Q Educator is instructions for the agent only.

Does Q Educator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Q Educator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Q Educator use?

Q Educator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Q Educator use?

About 760 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 9.2k tokens, read only when the agent opens those files.

What are the alternatives to Q Educator?

Skills that share tags, products or a category with Q Educator: Manim Video Production (browser-use/video-use, 28k stars), Logseq Review Workflow Eval (logseq/logseq, 45k stars), Baoyu URL To Markdown (sdyckjq-lab/llm-wiki-skill, 2.5k stars) and DeepTutor CLI (HKUDS/DeepTutor, 41k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Q Educator?

TyrealQ (a GitHub user) maintains it in TyrealQ/q-skills, which has 108 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on September 23, 2026.

Source: TyrealQ/q-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.