Skill: jinhuadeng/douyin-guoxue-volcengine-pipeline (version 1.0.0)

--- name: douyin-guoxue-volcengine-pipeline description: Create and publish Chinese metaphysics / guoxue / I Ching short videos for Douyin using a verified multi-shot pipeline: Volcengine image generation + Volcengine video generation + Edge TTS dubbing + ffmpeg stitching + Douyin publish + backend verification. Use when the user wants 国学/易经/卦象/乾卦/坤卦/泰卦 style short videos, especially when they want 3-second shot changes instead of a single looping shot, AI-assisted visual generation, or a reusable Douyin production workflow. 中文：用于抖音国学/易经/卦象短视频的多镜头生产发布流程，包含火山文生图、火山图生视频、Edge TTS 配音、ffmpeg 合成、抖音发布和后台回查。适用于“做一条乾卦/坤卦/泰卦视频”“3秒换镜头”“国学短视频自动生成并发布”等请求。 --- # douyin-guoxue-volcengine-pipeline Use this skill to run a **production-tested Douyin guoxue pipeline**. ## Core workflow 1. Load Volcengine env from `C:\Users\Lenovo\.openclaw\workspace\.volcengine_config` 2. Generate **3 vertical keyframes** with `volcengine-image-studio` 3. Turn each keyframe into a **5s motion shot** with `volcengine-video-studio` 4. Stitch 3 shots into a ~15s vertical cut with `ffmpeg` 5. Generate Chinese voiceover with `edge-tts` 6. Mix voice + BGM + subtitles 7. Publish through `skills/douyin-publisher/scripts/publish.py` 8. Verify in Douyin creator backend after publish ## Hard rules - Do **not** use a single still image as the full video when the user wants a stronger result - Prefer **3 shots**; use about **3-5s per shot** - Always keep output **9:16 vertical** - Always do a **backend verification** after publish; do not trust script success text alone - When publishing AI-generated work, use the publish flow that goes through: - `发文助手` - `自主声明` - `添加声明` - `内容由AI生成` ## Current validated local components - Volcengine image script: `skills/volcengine-image-studio/scripts/generate_image.py` - Volcengine video script: `skills/volcengine-video-studio/scripts/generate_video.py` - Douyin publish script: `skills/douyin-publisher/scripts/publish.py` - Volcengine env file: `.volcengine_config` - Typical BGM asset: `generated/guoxue-douyin/final-cuts/guofeng-lite-bgm.wav` ## Fast execution pattern ### 1. Load config into current process PowerShell: ```powershell $cfg = Get-Content .\.volcengine_config foreach($line in $cfg){ if($line -match '^\s*([A-Z0-9_]+)=(.*)$'){ [Environment]::SetEnvironmentVariable($matches[1], $matches[2], 'Process') } } [Environment]::SetEnvironmentVariable('VOLCENGINE_VIDEO_MODEL',[REDACTED_SECRET],'Process') ``` ### 2. Generate 3 keyframes Use thematic prompts for shot 1 / shot 2 / shot 3. Keep style consistent: - Song-dynasty aesthetics - Eastern negative space - cinematic light - no cartoon - no modern city unless requested ### 3. Generate 3 motion shots For each generated keyframe: ```powershell py -3.11 .\skills\volcengine-video-studio\scripts\generate_video.py "<motion prompt>" --image <cover> --ratio 9:16 --duration 5 --download-dir <dir> ``` ### 4. Voiceover ```powershell edge-tts --voice zh-CN-XiaoxiaoNeural --file <script.txt> --write-media <voice.mp3> ``` Recommended voices: - `zh-CN-XiaoxiaoNeural` — warm / calm / female - `zh-CN-YunxiNeural` — male / composed / explanatory ### 5. Final assembly Use ffmpeg to: - trim each shot to ~4.8-4.9s - concat 3 shots - burn title / line subtitles - mix voice + low-volume BGM ### 6. Publish and verify Publish with `py -3.11 skills/douyin-publisher/scripts/publish.py ...` Then **must** open creator manage page and confirm the new item appears in the list. ## Suggested directory pattern Store runs under: ```text generated/guoxue-douyin/<theme>-volcengine/ ``` Example themes: - `qian-gua-volcengine` - `kun-gua-volcengine` - `tai-gua-volcengine` ## Read next when needed - For prompt structure and reusable shot patterns, read `references/prompt-patterns.md` - For publishing / verification / AI declaration notes, read `references/publish-notes.md`


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)