alicloud-ai-video-wan-r2v

cinience/alicloud-skills · updated Apr 8, 2026

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$npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-ai-video-wan-r2v
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summary

Category: provider

skill.md

Category: provider

Model Studio Wan R2V

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

Newer official releases may prefer the flash variant for lower latency and lower cost.

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.

Normalized interface (video.generate_reference)

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

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

References

  • references/sources.md
how to use alicloud-ai-video-wan-r2v

How to use alicloud-ai-video-wan-r2v on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add alicloud-ai-video-wan-r2v
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-ai-video-wan-r2v

The skills CLI fetches alicloud-ai-video-wan-r2v from GitHub repository cinience/alicloud-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/alicloud-ai-video-wan-r2v

Reload or restart Cursor to activate alicloud-ai-video-wan-r2v. Access the skill through slash commands (e.g., /alicloud-ai-video-wan-r2v) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.654 reviews
  • Mia Srinivasan· Dec 24, 2024

    alicloud-ai-video-wan-r2v fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Benjamin Zhang· Dec 24, 2024

    Useful defaults in alicloud-ai-video-wan-r2v — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Nia Harris· Dec 20, 2024

    We added alicloud-ai-video-wan-r2v from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ganesh Mohane· Dec 12, 2024

    Registry listing for alicloud-ai-video-wan-r2v matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Nia Chawla· Dec 8, 2024

    Registry listing for alicloud-ai-video-wan-r2v matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Nia Martin· Nov 27, 2024

    Keeps context tight: alicloud-ai-video-wan-r2v is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ren Kim· Nov 15, 2024

    alicloud-ai-video-wan-r2v is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Benjamin Torres· Nov 15, 2024

    I recommend alicloud-ai-video-wan-r2v for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sakshi Patil· Nov 3, 2024

    Keeps context tight: alicloud-ai-video-wan-r2v is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chaitanya Patil· Oct 22, 2024

    I recommend alicloud-ai-video-wan-r2v for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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