doubao-image-video
豆包图片与视频生成原生技能。适用于用户提到豆包、文生图、图生图、文生视频、图生视频、查询视频生成任务、等待任务完成或下载最终视频时，直接调用火山引擎 Ark 接口，不依赖外部 MCP 服务。
Best use case
doubao-image-video is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
豆包图片与视频生成原生技能。适用于用户提到豆包、文生图、图生图、文生视频、图生视频、查询视频生成任务、等待任务完成或下载最终视频时，直接调用火山引擎 Ark 接口，不依赖外部 MCP 服务。
Teams using doubao-image-video should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/doubao-image-video/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How doubao-image-video Compares
| Feature / Agent | doubao-image-video | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
豆包图片与视频生成原生技能。适用于用户提到豆包、文生图、图生图、文生视频、图生视频、查询视频生成任务、等待任务完成或下载最终视频时，直接调用火山引擎 Ark 接口，不依赖外部 MCP 服务。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Doubao Native Media Skill
This is a native OpenClaw skill. Do not spin up the upstream MCP server unless the user explicitly asks for MCP compatibility.
## Use this skill for
- Doubao / 豆包 text-to-image
- image-to-image or multi-reference image generation
- Doubao text-to-video or image-to-video
- querying an async Doubao video task by `task_id`
- troubleshooting Volcengine Ark endpoint/model issues
## Commands
### Generate an image
```bash
python3 {baseDir}/scripts/doubao_media.py image \
--prompt "A cinematic cyberpunk alley in rain" \
--size 2560x1440
```
### Generate a video
```bash
python3 {baseDir}/scripts/doubao_media.py video \
--prompt "A panda astronaut waves on the moon" \
--video-duration 5 \
--fps 24 \
--resolution 1080p
```
### Query a video task
```bash
python3 {baseDir}/scripts/doubao_media.py task --task-id your-task-id
```
### Wait for a video task and optionally download the result
```bash
python3 {baseDir}/scripts/doubao_media.py wait \
--task-id your-task-id \
--timeout 600 \
--interval 5 \
--download-to ./doubao-result.mp4
```
## Input rules
- Always prefer `--endpoint-id` when the user has a provisioned Volcengine Ark endpoint.
- Fall back to model names only when endpoint ids are unavailable.
- For video generation, this skill mirrors the upstream behavior and appends `--dur`, `--fps`, `--rs`, and `--ratio` to the prompt when they are not already present.
- If the user supplies image URLs, pass them through exactly; do not download or re-host unless asked.
## Troubleshooting
- If neither `--endpoint-id` nor a default endpoint env var exists, the script falls back to the default model env var.
- If the API returns `InvalidEndpointOrModel.NotFound`, ask the user to verify the Volcengine Ark endpoint authorization first.
- Video generation is async. If generation succeeds, capture `task_id` and query it later with the `task` subcommand, or use `wait` for automatic polling.
## References
- Read `references/api-notes.md` when you need request shapes, defaults, or caveats.Related Skills
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