Agent skill

Aliyun Wan R2v

A skill your agent uses when generating reference-based videos with Alibaba Cloud Model Studio Wan R2V models (wan2.6-r2v-flash, wan2.6-r2v).

MITAuto-check passedMedia & Creative

Install Aliyun Wan R2v

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-wan-r2v -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-wan-r2v --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai/video/aliyun-wan-r2v .claude/skills/aliyun-wan-r2v && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "aliyun-wan-r2v" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-r2v into .claude/skills/aliyun-wan-r2v/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-wan-r2v", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-r2v

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-wan-r2v -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-wan-r2v --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai/video/aliyun-wan-r2v .agents/skills/aliyun-wan-r2v && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "aliyun-wan-r2v" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-r2v into .agents/skills/aliyun-wan-r2v/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-wan-r2v", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-wan-r2v -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-wan-r2v --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai/video/aliyun-wan-r2v .cursor/skills/aliyun-wan-r2v && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "aliyun-wan-r2v" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-r2v into .cursor/skills/aliyun-wan-r2v/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-wan-r2v", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/cinience/alicloud-skills.git --path skills/ai/video/aliyun-wan-r2v

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-wan-r2v -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-wan-r2v --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai/video/aliyun-wan-r2v .gemini/skills/aliyun-wan-r2v && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "aliyun-wan-r2v" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-r2v into .gemini/skills/aliyun-wan-r2v/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-wan-r2v", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-wan-r2v

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-wan-r2v -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai/video/aliyun-wan-r2v .github/skills/aliyun-wan-r2v && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "aliyun-wan-r2v" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-r2v into .github/skills/aliyun-wan-r2v/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-wan-r2v", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-wan-r2v -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-wan-r2v --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai/video/aliyun-wan-r2v .opencode/skills/aliyun-wan-r2v && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "aliyun-wan-r2v" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-r2v into .opencode/skills/aliyun-wan-r2v/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-wan-r2v", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: aliyun-wan-r2v
GitHub stars: 397
Token cost: ~686 tokens
SKILL.md length: 224 words
Files: 4 (incl. scripts, references)
Skills in repo: 96
Repo updated: Aug 11, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A skill your agent uses when generating reference-based videos with Alibaba Cloud Model Studio Wan R2V models (wan2.6-r2v-flash, wan2.6-r2v).

Works in 4 steps: Confirm user intent, region,… → Run one minimal read-only query first to… → Execute the target operation with… → …
Generating reference-based videos with Alibaba Cloud Model Studio Wan R2V models (wan2.6-r2v-flash
SKILL.md covers Validation, Output And Evidence, Critical model names and Prerequisites, plus 6 more sections
Runs Python scripts from its folder; calls python and python3; needs DASHSCOPE_API_KEY

What it does

Aliyun Wan R2v is an agent skill from cinience/alicloud-skills. Use when generating reference-based videos with Alibaba Cloud Model Studio Wan R2V models (wan2.6-r2v-flash, wan2.6-r2v). Use when creating multi-shot videos from reference video/image material, preserving character style, or documenting reference-to-video request/response flows.

Its SKILL.md is about 690 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/sources.md` and `scripts/prepare_r2v_request.py`).

It sits in Media & Creative. It works with Alibaba Cloud. The repository describes itself as: alibaba cloud skills，qwen ，wan and all skills. The licence is MIT.

When your agent uses it

Generating reference-based videos with Alibaba Cloud Model Studio Wan R2V models (wan2.6-r2v-flash
Creating multi-shot videos from reference video/image material
Preserving character style
Documenting reference-to-video request/response flows

Example prompts

“/aliyun-wan-r2v”

Requirements

Python 3
A credential in DASHSCOPE_API_KEY

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

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.

What it can do on your machine

Read from SKILL.md and the folder at commit 1818263. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- DASHSCOPE_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Aliyun Wan R2v loads about 686 tokens when it runs, and up to ~749 if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 224 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~74
When it runs · the whole SKILL.md, loaded when a task matches: ~686
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~749

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from cinience/alicloud-skills at commit 1818263, republished under its MIT licence (© cinience). 224 words, ~686 tokens.

Download SKILL.mdSave it as .claude/skills/aliyun-wan-r2v/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: aliyun-wan-r2v
description: Use when generating reference-based videos with Alibaba Cloud Model Studio Wan R2V models (wan2.6-r2v-flash, wan2.6-r2v). Use when creating multi-shot videos from reference video/image material, preserving character style, or documenting reference-to-video request/response flows.
version: 1.0.0

Category: provider

Model Studio Wan R2V

Validation

bash

mkdir -p output/aliyun-wan-r2v
python -m py_compile skills/ai/video/aliyun-wan-r2v/scripts/prepare_r2v_request.py && echo "py_compile_ok" > output/aliyun-wan-r2v/validate.txt

Pass criteria: command exits 0 and output/aliyun-wan-r2v/validate.txt is generated.

Output And Evidence

Save reference input metadata, request payloads, and task outputs in output/aliyun-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:

bash

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:

bash

.venv/bin/python skills/ai/video/aliyun-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/aliyun-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

Files

SKILL.md and 3 other files (scripts, references) in skills/ai/video/aliyun-wan-r2v of cinience/alicloud-skills.

SKILL.md
agents/openai.yaml
references/sources.md
scripts/prepare_r2v_request.py

Open the folder on GitHubat commit 1818263

Compare with similar skills

Aliyun Wan R2v next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Aliyun Wan R2v compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Aliyun Wan R2v this skillcinience/alicloud-skills	397	—	~686	Automated safety check: Pass	MIT	2 mo ago
Bailian Media Generationmodelstudioai/cli	542	—	~2k	Automated safety check: Pass	Apache-2.0	2 days ago
Dashscopecalesthio/OpenMontage	66k	—	~1.5k	Automated safety check: Notes	AGPL-3.0	7 days ago
Image GenerationQwenLM/qwen-code-examples	143	—	~568	Automated safety check: Pass	MIT	4 mo ago
Cap Cinematic Demo GeneratorCapSoftware/Cap	23k	—	~2.4k	Automated safety check: Pass	Custom licence	today
Musictadaspetra/loop	296	2 repos	~827	Automated safety check: Pass	MIT	8 days ago

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Works with

Alibaba Cloud

Questions about Aliyun Wan R2v

What does Aliyun Wan R2v do?

A skill your agent uses when generating reference-based videos with Alibaba Cloud Model Studio Wan R2V models (wan2.6-r2v-flash, wan2.6-r2v). Aliyun Wan R2v is an agent skill from cinience/alicloud-skills.6-r2v).

When should I use Aliyun Wan R2v?

Aliyun Wan R2v fits situations like: generating reference-based videos with Alibaba Cloud Model Studio Wan R2V models (wan2.6-r2v-flash; creating multi-shot videos from reference video/image material; preserving character style; documenting reference-to-video request/response flows.

How do I install Aliyun Wan R2v in Claude Code?

Run `npx skills add cinience/alicloud-skills --skill aliyun-wan-r2v -a claude-code`. Or copy the skill folder (skills/ai/video/aliyun-wan-r2v in cinience/alicloud-skills) into .claude/skills/aliyun-wan-r2v in your project. Claude Code loads it when a task matches its description.

How do I install Aliyun Wan R2v in Codex?

Run `npx skills add cinience/alicloud-skills --skill aliyun-wan-r2v -a codex`. Or copy the skill folder (skills/ai/video/aliyun-wan-r2v in cinience/alicloud-skills) into .agents/skills/aliyun-wan-r2v in your project. Codex loads it when a task matches its description.

Can I use Aliyun Wan R2v in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cinience/alicloud-skills --skill aliyun-wan-r2v -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aliyun-wan-r2v, .gemini/skills/aliyun-wan-r2v, .github/skills/aliyun-wan-r2v and .opencode/skills/aliyun-wan-r2v in your project.

What does Aliyun Wan R2v need to run?

Going by SKILL.md and its folder, Aliyun Wan R2v needs Python for the scripts in its folder, the command-line tools its instructions call (python and python3) and credentials named DASHSCOPE_API_KEY. Our summary lists: Python 3; A credential in DASHSCOPE_API_KEY.

Does Aliyun Wan R2v access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Aliyun Wan R2v safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Aliyun Wan R2v use?

Aliyun Wan R2v is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Aliyun Wan R2v use?

About 686 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 63 tokens, read only when the agent opens those files.

What are the alternatives to Aliyun Wan R2v?

Skills that share tags, products or a category with Aliyun Wan R2v: Bailian Media Generation (modelstudioai/cli, 542 stars), Dashscope (calesthio/OpenMontage, 66k stars), Image Generation (QwenLM/qwen-code-examples, 143 stars) and Cap Cinematic Demo Generator (CapSoftware/Cap, 23k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aliyun Wan R2v?

cinience (a GitHub user) maintains it in cinience/alicloud-skills, which has 397 GitHub stars. The repository holds 96 skills in this directory. The repository was last updated on August 11, 2026.

Source: cinience/alicloud-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Aliyun Wan R2v

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Model Studio Wan R2V

Validation

Output And Evidence

Critical model names

Prerequisites

Normalized interface (video.generate_reference)

Request

Response

Async handling

Local helper script

Output location

Workflow

References

Files

Compare with similar skills

Similar skills

More from cinience/alicloud-skills

Related

Questions about Aliyun Wan R2v