Agent skill

Aliyun Wan Digital Human

A skill your agent uses when generating talking, singing, or presentation videos from a single character image and audio with Alibaba Cloud Model Studio digital-human model wan2.2-s2v.

MITAuto-check passedMedia & Creative

Install Aliyun Wan Digital Human

skills CLI

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

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

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-wan-digital-human --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-digital-human .claude/skills/aliyun-wan-digital-human && 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-digital-human" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-digital-human into .claude/skills/aliyun-wan-digital-human/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-wan-digital-human", 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-digital-human

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-digital-human -a codex

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

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-wan-digital-human --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-digital-human .agents/skills/aliyun-wan-digital-human && 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-digital-human" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-digital-human into .agents/skills/aliyun-wan-digital-human/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-wan-digital-human", 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-digital-human -a cursor

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

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-wan-digital-human --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-digital-human .cursor/skills/aliyun-wan-digital-human && 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-digital-human" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-digital-human into .cursor/skills/aliyun-wan-digital-human/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-wan-digital-human", 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-digital-human

--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-digital-human -a gemini-cli

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

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-wan-digital-human --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-digital-human .gemini/skills/aliyun-wan-digital-human && 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-digital-human" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-digital-human into .gemini/skills/aliyun-wan-digital-human/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-wan-digital-human", 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-digital-human

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-digital-human -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-digital-human .github/skills/aliyun-wan-digital-human && 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-digital-human" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-digital-human into .github/skills/aliyun-wan-digital-human/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-wan-digital-human", 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-digital-human -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-digital-human --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-digital-human .opencode/skills/aliyun-wan-digital-human && 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-digital-human" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-digital-human into .opencode/skills/aliyun-wan-digital-human/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-wan-digital-human", 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-digital-human
GitHub stars: 397
Token cost: ~701 tokens
SKILL.md length: 228 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 talking, singing, or presentation videos from a single character image and audio with Alibaba Cloud Model Studio digital-human model wan2.2-s2v.

Generating talking
SKILL.md covers Validation, Output And Evidence, Critical model names and Prerequisites, plus 5 more sections
Runs Python scripts from its folder; calls python; needs DASHSCOPE_API_KEY
Presentation videos from a single character image and audio with Alibaba Cloud Model Studio digital-human model wan2.2-s2v

What it does

Aliyun Wan Digital Human is an agent skill from cinience/alicloud-skills. Use when generating talking, singing, or presentation videos from a single character image and audio with Alibaba Cloud Model Studio digital-human model wan2.2-s2v. Use when creating narrated avatar videos, singing portraits, or broadcast-style talking-head clips.

Its SKILL.md is about 700 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_digital_human_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 talking
Presentation videos from a single character image and audio with Alibaba Cloud Model Studio digital-human model wan2.2-s2v
Creating narrated avatar videos
Singing portraits

Example prompts

“/aliyun-wan-digital-human”

Requirements

Python 3
A credential in DASHSCOPE_API_KEY

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
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 Digital Human loads about 701 tokens when it runs, and up to ~752 if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 228 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~73
When it runs · the whole SKILL.md, loaded when a task matches: ~701
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~752

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). 228 words, ~701 tokens.

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

name: aliyun-wan-digital-human
description: Use when generating talking, singing, or presentation videos from a single character image and audio with Alibaba Cloud Model Studio digital-human model `wan2.2-s2v`. Use when creating narrated avatar videos, singing portraits, or broadcast-style talking-head clips.
version: 1.0.0

Category: provider

Model Studio Digital Human

Validation

bash

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

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

Output And Evidence

Save normalized request payloads, chosen resolution, and task polling snapshots under output/aliyun-wan-digital-human/.
Record image/audio URLs and whether the input image passed detection.

Use this skill for image + audio driven speaking, singing, or presenting characters.

Critical model names

Use these exact model strings:

wan2.2-s2v-detect
wan2.2-s2v

Selection guidance:

Run wan2.2-s2v-detect first to validate the image.
Use wan2.2-s2v for the actual video generation job.

Prerequisites

China mainland (Beijing) only.
Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.
Input audio should contain clear speech or singing, and input image should depict a clear subject.

Normalized interface (video.digital_human)

Detect Request

model (string, optional): default wan2.2-s2v-detect
image_url (string, required)

Generate Request

model (string, optional): default wan2.2-s2v
image_url (string, required)
audio_url (string, required)
resolution (string, optional): 480P or 720P
scenario (string, optional): talk, sing, or perform

Response

task_id (string)
task_status (string)
video_url (string, when finished)

Quick start

bash

python skills/ai/video/aliyun-wan-digital-human/scripts/prepare_digital_human_request.py \
  --image-url "https://example.com/anchor.png" \
  --audio-url "https://example.com/voice.mp3" \
  --resolution 720P \
  --scenario talk

Operational guidance

Use a portrait, half-body, or full-body image with a clear face and stable framing.
Match audio length to the desired output duration; the output follows the audio length up to the model limit.
Keep image and audio as public HTTP/HTTPS URLs.
If the image fails detection, do not proceed directly to video generation.

Output location

Default output: output/aliyun-wan-digital-human/request.json
Override base dir with OUTPUT_DIR.

References

references/sources.md

Files

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

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

Open the folder on GitHubat commit 1818263

Compare with similar skills

Aliyun Wan Digital Human 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 Digital Human compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Aliyun Wan Digital Human this skillcinience/alicloud-skills	397	—	~701	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 Digital Human

What does Aliyun Wan Digital Human do?

A skill your agent uses when generating talking, singing, or presentation videos from a single character image and audio with Alibaba Cloud Model Studio digital-human model wan2.2-s2v. Aliyun Wan Digital Human is an agent skill from cinience/alicloud-skills.2-s2v.

When should I use Aliyun Wan Digital Human?

Aliyun Wan Digital Human fits situations like: generating talking; presentation videos from a single character image and audio with Alibaba Cloud Model Studio digital-human model wan2.2-s2v; creating narrated avatar videos; singing portraits.

How do I install Aliyun Wan Digital Human in Claude Code?

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

How do I install Aliyun Wan Digital Human in Codex?

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

Can I use Aliyun Wan Digital Human 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-digital-human -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-digital-human, .gemini/skills/aliyun-wan-digital-human, .github/skills/aliyun-wan-digital-human and .opencode/skills/aliyun-wan-digital-human in your project.

What does Aliyun Wan Digital Human need to run?

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

Does Aliyun Wan Digital Human 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 Digital Human 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 Digital Human use?

Aliyun Wan Digital Human 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 Digital Human use?

About 701 tokens (SKILL.md is roughly 2.8k 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 51 tokens, read only when the agent opens those files.

What are the alternatives to Aliyun Wan Digital Human?

Skills that share tags, products or a category with Aliyun Wan Digital Human: 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 Digital Human?

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 Digital Human

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Model Studio Digital Human

Validation

Output And Evidence

Critical model names

Prerequisites

Normalized interface (video.digital_human)

Detect Request

Generate Request

Response

Quick start

Operational guidance

Output location

References

Files

Compare with similar skills

Similar skills

More from cinience/alicloud-skills

Related

Questions about Aliyun Wan Digital Human