# Send Alicloud Ai Video Wan Video to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "alicloud-ai-video-wan-video",
    "name": "Alicloud Ai Video Wan Video",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/cinience/alicloud-ai-video-wan-video",
    "canonicalUrl": "https://clawhub.ai/cinience/alicloud-ai-video-wan-video",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/alicloud-ai-video-wan-video",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=alicloud-ai-video-wan-video",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "agents/openai.yaml",
      "references/api_reference.md",
      "references/sources.md",
      "scripts/generate_dancing_video.py",
      "scripts/generate_video.py"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-23T16:43:11.935Z",
      "expiresAt": "2026-04-30T16:43:11.935Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
        "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/alicloud-ai-video-wan-video"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/alicloud-ai-video-wan-video",
    "downloadUrl": "https://openagent3.xyz/downloads/alicloud-ai-video-wan-video",
    "agentUrl": "https://openagent3.xyz/skills/alicloud-ai-video-wan-video/agent",
    "manifestUrl": "https://openagent3.xyz/skills/alicloud-ai-video-wan-video/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/alicloud-ai-video-wan-video/agent.md"
  }
}
```
## Documentation

### Validation

mkdir -p output/alicloud-ai-video-wan-video
python -m py_compile skills/ai/video/alicloud-ai-video-wan-video/scripts/generate_video.py && echo "py_compile_ok" > output/alicloud-ai-video-wan-video/validate.txt

Pass criteria: command exits 0 and output/alicloud-ai-video-wan-video/validate.txt is generated.

### Output And Evidence

Save task IDs, polling responses, and final video URLs to output/alicloud-ai-video-wan-video/.
Keep one end-to-end run log for troubleshooting.

Provide consistent video generation behavior for the video-agent pipeline by standardizing video.generate inputs/outputs and using DashScope SDK (Python) with the exact model name.

### Critical model names

Use one of these exact model strings:

wan2.2-t2v-plus
wan2.2-t2v-flash
wan2.6-i2v-flash
wan2.6-i2v
wan2.6-i2v-us
wan2.6-t2v-us
wanx2.1-t2v-turbo

### Prerequisites

Install SDK (recommended in a venv to avoid PEP 668 limits):

python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope

Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials (env takes precedence).

### Request

prompt (string, required)
negative_prompt (string, optional)
duration (number, required) seconds
fps (number, required)
size (string, required) e.g. 1280*720
seed (int, optional)
reference_image (string | bytes, optional for t2v, required for i2v family models)
motion_strength (number, optional)

### Response

video_url (string)
duration (number)
fps (number)
seed (int)

### Quick start (Python + DashScope SDK)

Video generation is usually asynchronous. Expect a task ID and poll until completion.
Note: Wan i2v models require an input image; pure t2v models can omit reference_image.

import os
from dashscope import VideoSynthesis

# Prefer env var for auth: export DASHSCOPE_API_KEY=...
# Or use ~/.alibabacloud/credentials with dashscope_api_key under [default].

def generate_video(req: dict) -> dict:
    payload = {
        "model": req.get("model", "wan2.6-i2v-flash"),
        "prompt": req["prompt"],
        "negative_prompt": req.get("negative_prompt"),
        "duration": req.get("duration", 4),
        "fps": req.get("fps", 24),
        "size": req.get("size", "1280*720"),
        "seed": req.get("seed"),
        "motion_strength": req.get("motion_strength"),
        "api_key": os.getenv("DASHSCOPE_API_KEY"),
    }

    if req.get("reference_image"):
        # DashScope expects img_url for i2v models; local files are auto-uploaded.
        payload["img_url"] = req["reference_image"]

    response = VideoSynthesis.call(**payload)

    # Some SDK versions require polling for the final result.
    # If a task_id is returned, poll until status is SUCCEEDED.
    result = response.output.get("results", [None])[0]

    return {
        "video_url": None if not result else result.get("url"),
        "duration": response.output.get("duration"),
        "fps": response.output.get("fps"),
        "seed": response.output.get("seed"),
    }

### Async handling (polling)

import os
from dashscope import VideoSynthesis

task = VideoSynthesis.async_call(
    model=req.get("model", "wan2.6-i2v-flash"),
    prompt=req["prompt"],
    img_url=req["reference_image"],
    duration=req.get("duration", 4),
    fps=req.get("fps", 24),
    size=req.get("size", "1280*720"),
    api_key=os.getenv("DASHSCOPE_API_KEY"),
)

final = VideoSynthesis.wait(task)
video_url = final.output.get("video_url")

### Operational guidance

Video generation can take minutes; expose progress and allow cancel/retry.
Cache by (prompt, negative_prompt, duration, fps, size, seed, reference_image hash, motion_strength).
Store video assets in object storage and persist only URLs in metadata.
reference_image can be a URL or local path; the SDK auto-uploads local files.
If you get Field required: input.img_url, the reference image is missing or not mapped.

### Size notes

Use WxH format (e.g. 1280*720).
Prefer common sizes; unsupported sizes can return 400.

### Output location

Default output: output/alicloud-ai-video-wan-video/videos/
Override base dir with OUTPUT_DIR.

### Anti-patterns

Do not invent model names or aliases; use official Wan i2v model IDs only.
Do not block the UI without progress updates.
Do not retry blindly on 4xx; handle validation failures explicitly.

### Workflow

Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
Run one minimal read-only query first to verify connectivity and permissions.
Execute the target operation with explicit parameters and bounded scope.
Verify results and save output/evidence files.

### References

See references/api_reference.md for DashScope SDK mapping and async handling notes.


Source list: references/sources.md
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: cinience
- Version: 1.0.2
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-23T16:43:11.935Z
- Expires at: 2026-04-30T16:43:11.935Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/alicloud-ai-video-wan-video)
- [Send to Agent page](https://openagent3.xyz/skills/alicloud-ai-video-wan-video/agent)
- [JSON manifest](https://openagent3.xyz/skills/alicloud-ai-video-wan-video/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/alicloud-ai-video-wan-video/agent.md)
- [Download page](https://openagent3.xyz/downloads/alicloud-ai-video-wan-video)