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volcengine-video-studio火山引擎视频工作室

Agent Skill

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:volcengine-video-studio(火山引擎视频工作室)
来源仓库:https://github.com/jinhuadeng/volcengine-video-studio
安装命令:
openclaw skills install volcengine-video-studio
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install volcengine-video-studio

简介

基于ARK平台的高性能视频生成与后期制作一体化解决方案。

  • 支持从文本提示到最终成片的全流程自动化视频创作管线搭建。
  • 内置Kling、Veo等专业引擎接入能力满足多样化视觉特效制作需求。
  • 商用发布前务必审核生成内容的版权合法性及人物肖像授权情况。
  • 安装后可在OpenClaw中调用video_generate方法提交创作任务队列。

SKILL.md

name
volcengine-video-studio
description
Production-ready Volcengine/ARK video generation for prompt-to-video, image-to-video, and draft-video refinement. Use when users want a hands-on skill that can submit jobs, poll status, inspect task payloads, and download finished outputs with Seedance-compatible models. 中文:适合火山引擎 / ARK 兼容接口的视频生成实战工作流;支持文生视频、图生视频、草稿视频优化、任务提交与轮询、结果检查和成片下载。

volcengine-video-studio

Use this skill to actually submit, poll, inspect, and download Volcengine / ARK video generation jobs instead of only drafting prompts.

中文说明

这是一个面向 火山引擎 / ARK 兼容视频生成接口 的生产可用型 skill,重点不是只写视频提示词,而是把整条生成链路真正跑通,从提交任务、轮询状态,到拿回结果、下载成片,都能一把做完。

它特别适合下面这些对外场景:

  • 文生视频
  • 图生视频
  • 草稿视频二次优化
  • 提交生成任务并持续轮询状态
  • 检查任务返回内容与原始 payload
  • 将生成好的视频自动下载到本地

如果你想要的是一个能真实发起任务、能追踪任务进度、能拿到最终视频文件、适合实战交付的火山视频 skill,这个版本就是为这种需求准备的。

Treat the prompt and optional reference media as runtime input for each task. Do not reuse documentation example prompts or example media in a real generation request unless the user explicitly asks for that exact example.

What this skill is good at

  • text-to-video from a task-specific prompt
  • image-to-video using a local file, data URL, or remote image URL
  • draft-video refinement with a guiding prompt
  • polling existing tasks and downloading finished outputs
  • switching between a faster default model and a stronger alternate model

Default path

Run the bundled script with the actual prompt for the current task:

python3 scripts/generate_video.py "当前任务的实际视频提示词"

To switch to the alternate model for one run:

VOLCENGINE_VIDEO_MODEL=doubao-seedance-1-5-pro-251215 \
python3 scripts/generate_video.py "当前任务的实际视频提示词"

By default the script:

  • submits the task
  • polls until the task finishes
  • extracts returned video URLs from the task payload
  • downloads generated files into ~/Desktop/volcengine-videos/<timestamp>-<slug>/

Required config

The script reads config from env vars:

  • VOLCENGINE_API_KEY or ARK_API_KEY
  • VOLCENGINE_VIDEO_MODEL (recommended)
  • VOLCENGINE_VIDEO_ENDPOINT or VOLCENGINE_ENDPOINT or ARK_BASE_URL

Recommended video models:

  • doubao-seedance-1-0-pro-fast-251015 — default, faster iteration
  • doubao-seedance-1-5-pro-251215 — alternate higher-tier option

Default behavior:

  • if VOLCENGINE_VIDEO_MODEL is unset, the script defaults to doubao-seedance-1-0-pro-fast-251015
  • avoid relying on VOLCENGINE_MODEL for video runs when that env var is also used for image generation

Typical endpoint:

  • https://ark.cn-beijing.volces.com/api/v3

The script calls:

  • POST /contents/generations/tasks
  • GET /contents/generations/tasks/{task_id}

Common workflows

1. Text to video

python3 scripts/generate_video.py "为当前需求编写的视频提示词" \
  --ratio 16:9 \
  --duration 5

2. Image to video

python3 scripts/generate_video.py "描述你希望图片如何动起来" \
  --image ~/Desktop/reference.png \
  --ratio 9:16 \
  --duration 5

3. Draft/sample video to final video

python3 scripts/generate_video.py "说明要保留什么、增强什么" \
  --video ~/Desktop/draft.mp4

4. Inspect an existing task only

python3 scripts/generate_video.py --task-id <task_id> --wait false

5. Submit only, do not wait

python3 scripts/generate_video.py "当前任务的实际视频提示词" \
  --ratio 16:9 \
  --wait false

6. Use raw content JSON when the target model needs a custom body

python3 scripts/generate_video.py --content-json '[
  {"type":"text","text":"当前任务的实际视频提示词"},
  {"type":"image_url","image_url":{"url":"https://example.com/reference.png"}}
]'

Local media support

For --image and --video:

  • local file path → converted to data: URL automatically
  • https://... URL → sent as-is
  • data:... URL → sent as-is

This makes local reference media usable without manual upload steps.

Key options

  • --ratio 16:9|9:16|1:1|adaptive
  • --duration <seconds>
  • --frames <count>
  • --seed <int>
  • --resolution <value>
  • --camera-fixed true|false
  • --watermark true|false
  • --callback-url <https-url>
  • --poll-interval <seconds>
  • --timeout <seconds>
  • --download-results true|false
  • --download-dir <path>
  • --print-request

Execution checklist

  1. Confirm whether the user wants text-to-video, image-to-video, or draft-video refinement.
  2. Treat the prompt as task-specific runtime input; never carry over example prompt text or example media into a real run unless explicitly requested.
  3. Choose prompt-first mode by default; use --content-json only when the API shape must be customized.
  4. Pass local reference media directly with --image or --video.
  5. Prefer --duration for whole-second clips and --frames only when finer control is required.
  6. Poll by default so the final answer includes actual output URLs or downloaded files.
  7. Mention the saved file paths when downloads are enabled.
  8. If the API returns an unexpected structure, surface the raw JSON instead of guessing.

Troubleshooting

  • Missing key → set VOLCENGINE_API_KEY
  • Missing or wrong model → set VOLCENGINE_VIDEO_MODEL
  • If a video run accidentally picks an image model (for example doubao-seedream-4-5) → explicitly set VOLCENGINE_VIDEO_MODEL instead of reusing VOLCENGINE_MODEL
  • Missing endpoint → set VOLCENGINE_VIDEO_ENDPOINT
  • 401/403 → key invalid or missing permission
  • 404 → endpoint wrong or region mismatch
  • 400 → unsupported model/parameter combination
  • Task remains queued too long → check quota, rate limit, or model availability
  • No obvious video URL in response → inspect raw

References

  • references/sources.md
  • references/api-notes.md

ing VOLCENGINE_MODEL

  • Missing endpoint → set VOLCENGINE_VIDEO_ENDPOINT
  • 401/403 → key invalid or missing permission
  • 404 → endpoint wrong or region mismatch
  • 400 → unsupported model/parameter combination
  • Task remains queued too long → check quota, rate limit, or model availability
  • No obvious video URL in response → inspect raw

References

  • references/sources.md
  • references/api-notes.md

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能力 5

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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