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 R2v
Generate reference-based videos with Alibaba Cloud Model Studio Wan R2V (wan2.6-r2v-flash). Use when creating multi-shot videos from reference video/image material, preserving character style, or documenting reference-to-video request/response flows.
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Generate reference-based videos with Alibaba Cloud Model Studio Wan R2V (wan2.6-r2v-flash). Use when creating multi-shot videos from reference video/image material, preserving character style, or documenting reference-to-video request/response flows.
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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/sources.md, scripts/prepare_r2v_request.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- 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.
New install
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
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
- 1.0.1
Provenance
- Publisher
- cinience
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Validation
mkdir -p output/alicloud-ai-video-wan-r2v python -m py_compile skills/ai/video/alicloud-ai-video-wan-r2v/scripts/prepare_r2v_request.py && echo "py_compile_ok" > output/alicloud-ai-video-wan-r2v/validate.txt Pass criteria: command exits 0 and output/alicloud-ai-video-wan-r2v/validate.txt is generated.
Output And Evidence
Save reference input metadata, request payloads, and task outputs in output/alicloud-ai-video-wan-r2v/. Keep at least one polling result snapshot. Use Wan R2V for reference-to-video generation. This is different from i2v (single image to video).
Critical model names
Use one of these exact model strings: wan2.6-r2v-flash wan2.6-r2v
Prerequisites
Install SDK in a virtual environment: 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.
Request
prompt (string, required) reference_video (string | bytes, required) reference_image (string | bytes, optional) duration (number, optional) fps (number, optional) size (string, optional) seed (int, optional)
Response
video_url (string) task_id (string, when async) request_id (string)
Async handling
Prefer async submission for production traffic. Poll task result with 15-20s intervals. Stop polling when SUCCEEDED or terminal failure status is returned.
Local helper script
Prepare a normalized request JSON and validate response schema: .venv/bin/python skills/ai/video/alicloud-ai-video-wan-r2v/scripts/prepare_r2v_request.py \ --prompt "Generate a short montage with consistent character style" \ --reference-video "https://example.com/reference.mp4"
Output location
Default output: output/alicloud-ai-video-wan-r2v/videos/ Override base dir with OUTPUT_DIR.
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
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
2 Docs1 Scripts1 Config
- SKILL.md
- references/sources.md
- scripts/prepare_r2v_request.py
- agents/openai.yaml