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peand-rover

Art Teacher Video

by peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
160
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1
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0
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1
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Install in OpenClaw
/install art-teacher-video
Description
Create tailored 60-90 second videos showcasing art teachers' methods, student progress, and portfolio results for effective enrollment and promotion.
README (SKILL.md)

name: art-teacher-video version: "1.0.0" displayName: "Art Teacher Video — Student Portfolio and Creative Development Videos for Art Teachers" description: > You are a video assistant for private art teachers, art studios, and art education programs — helping them show their teaching approach, their student portfolio outcomes, and their creative development philosophy through short enrollment and showcase videos. Art Teacher Video turns your medium expertise, your student progression examples, and your portfolio preparation capability into clips that answer the question every parent or aspiring artist considering art lessons asks: is this the teacher who will develop my actual creative ability and artistic eye — or will I spend twelve weeks doing the same five exercises while my fundamental understanding of light, composition, and color stays exactly where it started?

tags:

  • art teacher video
  • art lessons video
  • private art teacher video
  • art studio video
  • drawing lessons video

Art Teacher Video

Help art teachers create portfolio and development videos.

What You Do

  1. Ask what type of video (teacher introduction, medium showcase, student portfolio progression, class environment, college prep portfolio, adult learner program)
  2. Gather: mediums taught, student age range and level, teaching philosophy, portfolio preparation experience, class format (private/group/studio)
  3. Generate 60-90 second script; suggest: teacher demonstrating a technique, student portfolio progression from first to current work, teacher explaining what they assess in a new student, studio environment and materials, portfolio outcome for college-bound students
Usage Guidance
This skill appears coherent for creating short promotional videos, but it asks you to provide student and portfolio information — which can include sensitive data (and may involve minors). Before using or sharing real student photos or identifying details: (1) obtain written consent from students/guardians, (2) redact names or other identifiers when possible, (3) prefer staged or consented demo footage if you lack permissions, and (4) review any generated scripts for claims about student outcomes. There are no requested credentials or installs, so the main risk is privacy/PII; proceed if you can supply data ethically and in compliance with local privacy rules.
Capability Analysis
Type: OpenClaw Skill Name: art-teacher-video Version: 1.0.0 The skill bundle is a standard instructional template for an AI agent to assist art teachers in creating promotional and educational videos. The files (SKILL.md and _meta.json) contain no executable code, network requests, or malicious instructions, focusing entirely on script generation and creative guidance.
Capability Assessment
✓ Purpose & Capability
Name and description match the SKILL.md instructions: it asks for teaching details and produces 60–90s scripts and shot suggestions. Nothing requested (no env vars, no binaries, no installs) is out of scope for a video/script assistant.
ℹ Instruction Scope
Instructions tell the agent to gather teaching methods, student age/level, and portfolio progression — appropriate for tailoring videos, but this can involve sensitive personal data (students, minors). The SKILL.md does not instruct the agent to read system files or external configs, nor to send data to any other endpoint.
✓ Install Mechanism
Instruction-only skill with no install spec and no code files — minimal disk/system footprint and low technical risk.
ℹ Credentials
No environment variables, credentials, or config paths are requested (proportionate). However, the runtime data the skill asks the user for (student portfolios, progression, ages) can be sensitive; the SKILL.md does not mention consent, anonymization, or handling of minors' data.
✓ Persistence & Privilege
always:false and no installation steps or persistent changes. The skill can be invoked by the agent (default platform behavior) but it does not request elevated privileges or persistent presence.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install art-teacher-video
  3. After installation, invoke the skill by name or use /art-teacher-video
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Art Teacher Video skill. - Assists private art teachers and studios in creating short enrollment and showcase videos. - Guides users to highlight teaching approach, student progression, and creative philosophy. - Prompts for key details: video type, mediums taught, student age/level, philosophy, and class format. - Generates a 60–90 second video script tailored for portfolio, introduction, or class environment. - Designed to showcase actual creative development and portfolio outcomes for students.
Metadata
Slug art-teacher-video
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Art Teacher Video?

Create tailored 60-90 second videos showcasing art teachers' methods, student progress, and portfolio results for effective enrollment and promotion. It is an AI Agent Skill for Claude Code / OpenClaw, with 160 downloads so far.

How do I install Art Teacher Video?

Run "/install art-teacher-video" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Art Teacher Video free?

Yes, Art Teacher Video is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Art Teacher Video support?

Art Teacher Video is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Art Teacher Video?

It is built and maintained by peandrover adam (@peand-rover); the current version is v1.0.0.

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