qwen-mm-plugins-edu-agent
Math and Science Tutorials
Turn a math or science problem into a step-by-step Mandarin video tutorial. For an interactive page instead of a video, use the interactive workflow linked below. Teaching components — equations, diagrams, solution steps — are rendered as realistic objects: solid opaque panels (glass-look via borders + layered shadow, NO backdrop-filter, NO translucency), 3D metallic cards, animated SVG constructions, on themed backgrounds with animated gradient orbs and smooth ambient effects. The default theme is "Aurora Scholar" (blue wave texture + indigo/violet/cyan orbs); 4 alternative light themes are available (清雅湖蓝, 柔紫轻盈, 薄荷清新, 暖黄纸感) for visual variety across different problem types — see the Background Theme Catalog in design-system.md.
Prerequisites (环境准备 — 开工前必查)
This is a skill-only capability (no MCP server), so its runtime dependencies are NOT auto-installed by uvx. Verify ALL of the following before Step 0 — a missing one silently breaks a later step:
| Dependency | Needed for | Install / check |
|---|---|---|
| Node.js + npm/npx | scaffold + render (npx hyperframes) |
node -v (≥18) |
| hyperframes CLI | init / lint / validate / render |
pulled on demand via npx hyperframes (needs npm-registry access at scaffold time; the project then pins a version in dist/package.json) |
| Headless Chromium + OS libs | npx hyperframes render (puppeteer) + post-render QA gates (postcheck.py / precheck.py drive headless Chrome) |
the browser itself is auto-downloaded by puppeteer on first npx hyperframes; on minimal Linux you must also apt install libnss3 libatk-bridge2.0-0 libgbm1 libasound2 libxkbcommon0 libgtk-3-0 fonts-noto-cjk (else Chrome fails to launch, or CJK/formulas render as tofu boxes). Reuse a system Chrome via export PUPPETEER_EXECUTABLE_PATH=/usr/bin/chromium. |
| Python 3 + pip | TTS script | python3 -m pip --version |
dashscope soundfile numpy requests pydantic |
TTS synthesis, assembly and shared configuration | python3 -m pip install dashscope soundfile numpy requests 'pydantic>=2.11,<3' |
| ffmpeg | loudness normalization (loudnorm) + frame extraction for self-check |
brew install ffmpeg / apt install ffmpeg |
DASHSCOPE_API_KEY |
Qwen-TTS (qwen3-tts-flash) |
export DASHSCOPE_API_KEY="sk-xxx", or put DASHSCOPE_API_KEY=sk-xxx in ~/.qwen-mm-plugins/config for GUI-launched setups that don't inherit shell exports. $EDU_SKILL_ROOT/scripts/generate_voice.py reads it at runtime — never cat/paste the key into the conversation. |
Network boundary:
npx hyperframes initand the TTS calls need internet. The render itself is air-gapped — that is why fonts / KaTeX / GSAP must be self-hosted intodist/(see Step 5 Prerequisites). DashScope TTS may rate-limit under high concurrency; if you hitThrottling.RateQuota, lower the thread-pool worker count and add backoff (see step-3).