byted-las-video-resize
Resizes, scales, and adjusts video resolution and dimensions using GPU-accelerated NVENC encoding via Volcengine LAS.
Skill by bytedanceOfficial
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: marketing, productivity
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Secrets
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- Install scripts
- None found
- Runs as
- Shell scripts
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/byted-las-video-resize
What's inside
- Skill name
byted-las-video-resize- Description
- Resizes, scales, and adjusts video resolution and dimensions using GPU-accelerated NVENC encoding via Volcengine LAS. Video resizing, video scaling, video upscaling, and video downscaling — change video resolution, enlarge or shrink video dimensions, and adjust video size for different platforms and screens. Video compression by reducing resolution and video transcoding and re-encoding with specific dimension constraints. Supports flexible min/max width and height ranges with aspect ratio preservation strategies (increase, decrease, or disable), including landscape to portrait conversion. Async submit-poll workflow with batch support. Use this skill when the user wants to resize or scale video resolution (upscale/downscale), change video dimensions for different platforms, compress videos by reducing resolution, transcode/re-encode videos with GPU NVENC, adjust aspect ratio including landscape-to-portrait conversion, adapt videos for mobile/web/social media, or batch process multiple videos.
- License
- Apache-2.0
- Instructions
- 148 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (10)
- LICENSE
- SKILL.md
- checklist.md
- evals.json · evals/
- api.md · references/
- prices.md · references/
- check_format.sh · scripts/
- env_init.sh · scripts/
- generate_result.md.sh · scripts/
- poll_background.sh · scripts/
SKILL.md (first lines)
# LAS 视频分辨率调整(`las_video_resize`)
将视频调整到指定分辨率范围,支持宽高比保持策略和 GPU NVENC 编码。
## 设计模式
本 skill 主要采用:
- **Tool Wrapper**:封装 `lasutil` CLI 调用
- **Pipeline**:包含 Step 0 → Step N 的顺序工作流
## 核心 API 与配置
- **算子 ID**: `las_video_resize`
- **API**: 异步(`submit` → `poll`)
- **环境变量**: `LAS_API_KEY` (必填)
> 详细参数与接口定义见 [references/api.md](references/api.md)。
## Gotchas
- **强制固定尺寸**:需要设置 `min_width=max_width` 且 `min_height=max_height`,并将 `force_original_aspect_ratio_type=disable`。
- **密钥安全**:若聊天框屏蔽密钥,让用户在当前目录创建 `env.sh` 并写入 `export LAS_API_KEY="..."`,SDK 会自动读取。
- **免责声明**:最终回复结果时必须包含:"本方式的计费均为预估计费,与实际费用有差距,实际费用以运行后火山产生的账单为准。计费说明请参考 [Volcengine LAS 定价](https://www.volcengine.com/docs/6492/1544808)。",且禁止使用"实际费用"字眼描述预估价。
## 工作流(严格按步骤执行)
复制此清单并跟踪进度:
```text
执行进度:
- [ ] Step 0: 前置检查
- [ ] Step 1: 初始化与准备
- [ ] Step 2: 预估价格
- [ ] Step 3: 提交任务
- [ ] Step 4: 异步查询
- [ ] Step 5: 结果呈现
```
### Step 0: 前置检查(⚠️ 必须在第一轮对话中完成)
在接受用户的任务后,**不要立即开始执行**,必须首先进行以下环境检查:
1. **检查 `LAS_API_KEY` 与 `LAS_REGION`**:确认环境变量或 `.env` 中是否已配置。
- 若无,必须立即向用户索要(提示:`LAS_REGION` 常见为 `cn-beijing`)。
- **注意**:`LAS_REGION` 必须与您的 API Key 及 TOS Bucket 所在的地域完全一致。如果用户中途切换了 Region,必须提醒用户其 TOS Bucket 也需对应更换,否则会导致权限异常或上传失败。
2. **检查输入路径**:
- 如果用户要求处理的是**本地文件**,则需要先通过 File API 上传至 TOS(只需 `LAS_API_KEY`,无需额外 TOS 凭证)。
- 如果算子的**输出结果**存放在 TOS 上,且用户需要下载回本地,则需要 `VOLCENGINE_ACCESS_KEY` 和 `VOLCENGINE_SECRET_KEY`。对于**仅需要上传输入文件**的场景,TOS 凭证**不再必须**。
3. **检查输出路径**:
- `output_tos_dir` 为必填参数,必须由用户提供**自己可写的 TOS 目录路径**(格式:`tos://bucket/output_dir/`)。
- 服务端需要将缩放后的视频写入此目录。
4. **确认无误后**:才能进入下一步。
### Step 1: 初始化与准备
**环境初始化(Agent 必做)**:
```bash
# 执行统一的环境初始化与更新脚本(会自动创建/激活虚拟环境,并检查更新)
source "$(dirname "$0")/scripts/env_init.sh" las_video_resize
workdir=$LAS_WORKDIR
```
> 如果网络问题导致更新失败,脚本会跳过检查,使用本地已安装的 SDK 继续执行。
- **处理本地文件时**:使用 File API 上传(只需 `LAS_API_KEY`,无需 TOS 凭证和 Bucket):
```bash
lasutil file-upload <local_path>
```
上传成功后返回 JSON,取其中的 `presigned_url`(HTTPS 预签名下载链接,24 小时有效)传给算子作为输入 URL。
### Step 2: 预估价格(⚠️ 必须获得用户确认)
1. 读取 [references/prices.md](references/prices.md) 获取最新计费标准。
2. 获取视频信息(时长、编码、分辨率):
```bash
lasutil media-duration <video_url>
```
3. 根据档位查表计算总价,**将计费单价与预估总价一并告知用户并强制暂停执行**,明确等待用户回复确认。在用户明确回复"继续"、"确认"等同意指令前,**绝对禁止**进入下一步(执行/提交任务)。提示:预估仅供参考,实际以火山账单为准。计费说明请参考 [Volcengine LAS 定价](https://www.volcengine.com/docs/6492/1544808)。
### Step 3: 提交任务 (Submit)
构造基础 `data.json`:
```json
{
"video_path": "<presigned_url>",
"output_tos_dir": "tos://<your-bucket>/output_dir/",
"output_file_name": "resized.mp4",
"min_width": 1280, "max_width": 2560,
"min_height": 720, "max_height": 1440,
"force_original_aspect_ratio_type": "increase"
}
```
> **重要提示**: `output_tos_dir` **必须由用户提供**,需要填写用户自己账号下可写的 TOS 目录(服务端会将缩放后的视频写入此目录)。
**单文件提交**:
```bash
data=$(cat "$workdir/data.json")
lasutil submit las_video_resize "$data" > "$workdir/submit.json"
```
⚠️ **强制反馈**:任务提交成功后,**必须立即向用户返回生成的 `task_id`**,以便用户跟踪进度或在必要时手动查询。
### Step 4: 异步查询 (Poll)
⚠️ **异步任务与后台轮询约束**:
- 如果你当前的环境**支持后台任务/异步长效运行**:你可以利用环境提供的后台能力(例如发起后台轮询任务),并在任务完成后主动将结果返回给用户。
- 如果你当前的环境**不支持**长效后台任务(如普通的单轮对话沙箱),且直接 `sleep` 循环会导致超时崩溃:**绝对禁止在代码中执行死循环等待!** 此时必须立即向用户输出 Task ID 并结束当前轮次,告知用户:"任务已提交,请稍后向我询问进度"。
**单任务查询**:
```bash
lasutil poll las_video_resize {task_id}
```
- `COMPLETED` → 返回输出视频路径 `result.data.output_path`。
- `RUNNING`/`PENDING` → 稍后重试。
### Step 5: 结果呈现From bytedance/agentkit-samples, Apache-2.0.
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Signals
- Stars
- 473
- Forks
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- Open issues
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- Last commit (this folder)
- Apr 14, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/bytedance/agentkit-samples
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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byted-las-video-resize skill. Agent Mart. https://agentmart.dev/skills/bytedance-byted-las-video-resize (last updated 2026-10-24)