Individual skill
byted-byteplus-vod-video-enhancement
Upload video/audio media to BytePlus VOD (Video on Demand) storage, returning the Vid and playback references; supports both local file upload (ApplyUploadInfo + TOS + CommitUploadInfo) and URL pull upload (UploadMediaByUrl); also supports AI-based comprehensive quality restoration on already-uploaded videos (removing compression artifacts, noise, scratches, improving clarity, and configuring Pro-tier color depth). Trigger keywords: upload video, upload media, upload to VOD, URL upload, pull upload, local upload, file upload, UploadMediaByUrl, ApplyUploadInfo, media ingestion, quality restoration, quality enhancement, comprehensive restoration, video denoising, denoise, compression artifact removal, color depth, bit depth, 10-bit, 12-bit, 16-bit.
skills/byted-byteplus-vod-video-enhancement/SKILL.md
Source commit 75abb6c5cb9b310338db8bafe3ffc7d7ecec2834
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- Yes
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- Yes
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 5, 2026
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Repository context
- Repository stars (not skill ratings)
- 484
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- agent Repository topic
- ai Repository topic
- samples Repository topic
- volcengine Repository topic
- engineering Derived category
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LICENSEasset · 10,142 bytesSKILL.mdcore · 14,896 bytesSKILL.mdcore · 14,896 bytesSKILL.mdcore · 14,896 bytesSKILL.mdcore · 14,896 bytesSKILL.mdcore · 14,896 bytesSKILL.mdcore · 14,896 bytesSKILL.mdcore · 14,896 bytesSKILL.mdcore · 14,896 bytesSKILL.mdcore · 14,896 bytesSKILL.mdcore · 14,896 bytesSKILL.mdcore · 14,896 bytesSKILL.mdcore · 14,896 bytesreferences/quality-enhance.mddoc · 6,182 bytesscripts/env.mddoc · 218 bytesscripts/poll_execution.pyruns · 1,378 bytesscripts/pyproject.tomlasset · 237 bytesscripts/quality_enhance.pyruns · 11,940 bytesscripts/tos_upload.pyruns · 13,829 bytesscripts/upload.pyruns · 12,625 bytesscripts/vod_client.pyruns · 23,882 bytes
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# VOD_video enhancement
Uploads video/audio to a BytePlus VOD space (from a **local file** or a **public URL**) and returns a `vid://vxxxx` reference. Additionally provides AI-based comprehensive quality restoration that removes compression artifacts, noise, and scratches from ingested videos, improving overall clarity and color rendition.
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## Prerequisites
- **Environment variables** (required, can be configured via a `.env` file in the working directory — the scripts will load it automatically):
- `BYTEPLUS_ACCESSKEY` — BytePlus Access Key
- `BYTEPLUS_SECRETKEY` — BytePlus Secret Key
- `VOD_SPACE_NAME` — VOD space name
- **Execution**: examples use `uv run python ...` (if the host environment can run Python directly, `python scripts/...` also works).