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ark-seedance-video-generation方舟种子视频生成

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。

总安装

2,889

周安装

118

GitHub Stars

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下载量

935
OpenClaw

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:ark-seedance-video-generation(方舟种子视频生成)
来源仓库:https://github.com/iunclear/ark-seedance-video-generation
安装命令:
openclaw skills install ark-seedance-video-generation
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 ark-seedance-video-generation

简介

使用 Volcengine Ark Seedance 模型生成端到端视频内容。

  • 适用于文本转视频、动画合成和视频项目开发场景。
  • 需配置 ARK_API_KEY 并依赖内置 Node.js 运行环境。
  • 安装命令:openclaw skills install ark-seedance-video-generation。
  • 涉及外部素材时需确认版权授权和内容合规要求。

SKILL.md

name
ark-seedance-video-generation
description
End-to-end Volcengine Ark Seedance video generation using ARK_API_KEY and the bundled Node.js runner. Use when an agent needs to generate videos, handle text-to-video or image-to-video requests, poll task status, list or delete tasks, download generated assets, and follow a controlled SOP for model selection, local-media disclosure, and artifact handling.
metadata
{"clawdbot":{"emoji":"🎬","requires":{"bins":["node"],"env":["ARK_API_KEY"]},"primaryEnv":"ARK_API_KEY"}}

Ark Seedance Video Generation

Use this skill as an execution skill for tool-using agents. The agent should run the existing script directly and complete the workflow for the user.

Core Rules

  • Use only scripts/seedance-video.js for live execution.
  • Do not write another script, wrapper, or replacement implementation.
  • Use ARK_API_KEY only. Do not use AK/SK.
  • The script must receive an explicit model through --model or payload JSON.
  • Restrict model choice at the skill layer to:

- doubao-seedance-1-0-pro-250528 - doubao-seedance-2-0-260128

  • Default model at the SOP layer: doubao-seedance-1-0-pro-250528
  • For local image, video, or audio inputs, explicitly tell the user the files will be uploaded to Volcengine Ark before execution.
  • Save request.json in sanitized form only. Do not persist raw Base64 media data.

Required Start

For every new generation request, the first model-facing message must:

  1. List these two model IDs:

- doubao-seedance-1-0-pro-250528 - doubao-seedance-2-0-260128

  1. Require the user to choose one before generation starts.

If the user already named one of the two approved IDs, use it and continue.

Workflow

1. Intake

Determine:

  • Generation mode: text-to-video, image-to-video, video-conditioned, audio-assisted, draft-task reuse, or task management
  • Whether inputs are local files or remote URLs
  • Whether the user asked for ratio, duration, resolution, seed, watermark, callback, or last-frame output
  • Whether the request is a new generation, inspection, re-download, list, or deletion

2. Model Gate

  • If the user already selected one of the two approved models, use it.
  • If not, stop and ask them to choose one after listing the two approved IDs.
  • Do not start generation, task creation, or payload submission until a model is chosen.
  • Always pass the selected model explicitly through --model or payload JSON.

3. Auth Check

  • Require ARK_API_KEY
  • If missing, stop and tell the user exactly that ARK_API_KEY is required

4. Local Media Disclosure

If the request uses --image-file, --video-file, or --audio-file:

  • Tell the user those files will be sent to Volcengine Ark
  • If they object, stop before execution

5. Output Location

Prefer a workspace-local structure:

  • ./outputs/seedance/<job-name>/request.json
  • ./outputs/seedance/<job-name>/task.json
  • ./outputs/seedance/<job-name>/<downloaded-assets>

6. Command Choice

Use the existing script surface only:

  • run for normal generation
  • create or create --wait true only when the lifecycle requires it
  • get for inspect or re-download
  • list for browsing tasks
  • delete for deletion
  • download when assets are needed from an existing task.json

7. Flag Mapping

Map user inputs to:

  • --model
  • --prompt
  • --image-file / --image-url
  • --video-file / --video-url
  • --audio-file / --audio-url
  • --draft-task-id
  • --resolution
  • --ratio
  • --duration
  • --frames
  • --seed
  • --camera-fixed
  • --watermark
  • --return-last-frame
  • --callback-url
  • --download-dir

If the request needs unsupported advanced fields, write a JSON payload file and pass it through --payload-file.

8. Verify

After execution, verify what applies:

  • final task status is succeeded
  • task.json exists
  • request.json exists and is sanitized
  • output assets were downloaded
  • last-frame asset exists when requested

9. Report

Return:

  • requested task summary
  • selected model ID
  • command path used
  • task ID when available
  • output directory
  • whether downloads completed
  • relevant warnings or failures

Command Patterns

Use these as execution patterns:

node "./scripts/seedance-video.js" --model "<model-id>" --prompt "<prompt>" --download-dir "./outputs/seedance/run-001"
node "./scripts/seedance-video.js" --model "<model-id>" --image-file "./inputs/source.png" --prompt "<prompt>" --return-last-frame true --download-dir "./outputs/seedance/image-to-video"
node "./scripts/seedance-video.js" create --model "<model-id>" --prompt "<prompt>" --wait true --download-dir "./outputs/seedance/create-wait"
node "./scripts/seedance-video.js" get --task-id "cgt-xxxx" --download-dir "./outputs/seedance/rerun-download"
node "./scripts/seedance-video.js" --payload-file "./inputs/seedance-payload.json" --download-dir "./outputs/seedance/raw-payload"

References

Read only when needed:

  • references/ark-video-api.md
  • references/video-models.json
  • references/video-models.md
  • references/payload-patterns.md

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平台分布

OpenClaw

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按下载量换算826

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可疑

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