/install ark-seedance-video-generation
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.jsfor live execution. - Do not write another script, wrapper, or replacement implementation.
- Use
ARK_API_KEYonly. Do not use AK/SK. - The script must receive an explicit model through
--modelor payload JSON. - Restrict model choice at the skill layer to:
doubao-seedance-1-0-pro-250528doubao-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.jsonin sanitized form only. Do not persist raw Base64 media data.
Required Start
For every new generation request, the first model-facing message must:
- List these two model IDs:
doubao-seedance-1-0-pro-250528doubao-seedance-2-0-260128
- 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
--modelor payload JSON.
3. Auth Check
- Require
ARK_API_KEY - If missing, stop and tell the user exactly that
ARK_API_KEYis 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/\x3Cjob-name>/request.json./outputs/seedance/\x3Cjob-name>/task.json./outputs/seedance/\x3Cjob-name>/\x3Cdownloaded-assets>
6. Command Choice
Use the existing script surface only:
runfor normal generationcreateorcreate --wait trueonly when the lifecycle requires itgetfor inspect or re-downloadlistfor browsing tasksdeletefor deletiondownloadwhen assets are needed from an existingtask.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.jsonexistsrequest.jsonexists 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 "\x3Cmodel-id>" --prompt "\x3Cprompt>" --download-dir "./outputs/seedance/run-001"
node "./scripts/seedance-video.js" --model "\x3Cmodel-id>" --image-file "./inputs/source.png" --prompt "\x3Cprompt>" --return-last-frame true --download-dir "./outputs/seedance/image-to-video"
node "./scripts/seedance-video.js" create --model "\x3Cmodel-id>" --prompt "\x3Cprompt>" --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.mdreferences/video-models.jsonreferences/video-models.mdreferences/payload-patterns.md
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install ark-seedance-video-generation - 安装完成后,直接呼叫该 Skill 的名称或使用
/ark-seedance-video-generation触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
ark-seedance-video-generation 是什么?
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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 98 次。
如何安装 ark-seedance-video-generation?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ark-seedance-video-generation」即可一键安装,无需额外配置。
ark-seedance-video-generation 是免费的吗?
是的,ark-seedance-video-generation 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
ark-seedance-video-generation 支持哪些平台?
ark-seedance-video-generation 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 ark-seedance-video-generation?
由 iunclear(@iunclear)开发并维护,当前版本 v1.0.0。