Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Alicloud Ai Video Wan Video
Generate videos with Model Studio DashScope SDK using the wan2.6-i2v-flash model. Use when implementing or documenting video.generate requests/responses, mapping prompt/negative_prompt/duration/fps/size/seed/reference_image/motion_strength, or integrating video generation into the video-agent pipeline.
skill openclawclawhub Free
Generate videos with Model Studio DashScope SDK using the wan2.6-i2v-flash model. Use when implementing or documenting video.generate requests/responses, mapping prompt/negative_prompt/duration/fps/size/seed/reference_image/motion_strength, or integrating video generation into the video-agent pipeline.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, agents/openai.yaml, references/api_reference.md, references/sources.md, scripts/generate_dancing_video.py, scripts/generate_video.py
Validation
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- Review SKILL.md after the package is downloaded.
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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.
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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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.2
Provenance
- Publisher
- cinience
- Source page
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- Canonical URL
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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
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs2 Scripts1 Config
- SKILL.md
- references/api_reference.md
- references/sources.md
- scripts/generate_dancing_video.py
- scripts/generate_video.py
- agents/openai.yaml