Bailian Media Generation
modelstudioai/cli
Chinese-language entry point into Alibaba Cloud Bailian's image, video and speech generation and understanding, routed through separate image, video, speech and vision commands.
A skill your agent uses when generating motion videos from a person image and a reference video with DashScope Wan 2.2 animate-move model (wan2.2-animate-move).
$ npx skills add cinience/alicloud-skills --skill aliyun-wan-animate-move -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install cinience/alicloud-skills aliyun-wan-animate-move --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-animate-move .claude/skills/aliyun-wan-animate-move && rm -rf skills-srcUse ~/.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/
Install the "aliyun-wan-animate-move" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-animate-move into .claude/skills/aliyun-wan-animate-move/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-wan-animate-move", 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 install https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-animate-moveType 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.
$ npx skills add cinience/alicloud-skills --skill aliyun-wan-animate-move -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install cinience/alicloud-skills aliyun-wan-animate-move --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-animate-move .agents/skills/aliyun-wan-animate-move && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aliyun-wan-animate-move" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-animate-move into .agents/skills/aliyun-wan-animate-move/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-wan-animate-move", 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.
$ npx skills add cinience/alicloud-skills --skill aliyun-wan-animate-move -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install cinience/alicloud-skills aliyun-wan-animate-move --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-animate-move .cursor/skills/aliyun-wan-animate-move && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "aliyun-wan-animate-move" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-animate-move into .cursor/skills/aliyun-wan-animate-move/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-wan-animate-move", 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 https://github.com/cinience/alicloud-skills.git --path skills/ai/video/aliyun-wan-animate-move--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add cinience/alicloud-skills --skill aliyun-wan-animate-move -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install cinience/alicloud-skills aliyun-wan-animate-move --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-animate-move .gemini/skills/aliyun-wan-animate-move && rm -rf skills-srcUse ~/.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/
Install the "aliyun-wan-animate-move" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-animate-move into .gemini/skills/aliyun-wan-animate-move/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-wan-animate-move", 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.
$ gh skill install cinience/alicloud-skills aliyun-wan-animate-moveInstalls 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).
$ npx skills add cinience/alicloud-skills --skill aliyun-wan-animate-move -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ 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-animate-move .github/skills/aliyun-wan-animate-move && rm -rf skills-srcUse ~/.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/
Install the "aliyun-wan-animate-move" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-animate-move into .github/skills/aliyun-wan-animate-move/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-wan-animate-move", 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.
$ npx skills add cinience/alicloud-skills --skill aliyun-wan-animate-move -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install cinience/alicloud-skills aliyun-wan-animate-move --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-animate-move .opencode/skills/aliyun-wan-animate-move && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "aliyun-wan-animate-move" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-wan-animate-move into .opencode/skills/aliyun-wan-animate-move/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-wan-animate-move", 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.
aliyun-wan-animate-moveA skill your agent uses when generating motion videos from a person image and a reference video with DashScope Wan 2.2 animate-move model (wan2.2-animate-move).
Aliyun Wan Animate Move is an agent skill from cinience/alicloud-skills. Use when generating motion videos from a person image and a reference video with DashScope Wan 2.2 animate-move model (wan2.2-animate-move). Use when transferring actions, expressions, or dance moves from a reference video onto a character image via the image2video async API.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api_reference.md`, `references/sources.md` and `scripts/generate_animate_move.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.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 1818263. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpython3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
dashscope.aliyuncs.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
DASHSCOPE_API_KEYAPI_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Aliyun Wan Animate Move loads about 1.5k tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 461 words of instructions outside code blocks.
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.
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.
The full file from cinience/alicloud-skills at commit 1818263, republished under its MIT licence (© cinience). 461 words, ~1,542 tokens.
.claude/skills/aliyun-wan-animate-move/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.mkdir -p output/aliyun-wan-animate-move
python -m py_compile skills/ai/video/aliyun-wan-animate-move/scripts/generate_animate_move.py && echo "py_compile_ok" > output/aliyun-wan-animate-move/validate.txtPass criteria: command exits 0 and output/aliyun-wan-animate-move/validate.txt is generated.
output/aliyun-wan-animate-move/.python3 -m venv .venv
. .venv/bin/activate
python -m pip install requestsDASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.wan2.2-animate-move -- supports motion transfer from reference video to character image| Capability | Description | Required inputs |
|---|---|---|
| Motion transfer | Transfer actions/expressions from reference video to character image | image_url + video_url |
| Mode | Description |
|---|---|
wan-std | Standard mode, faster generation, cost-effective, suitable for preview and basic animation |
wan-pro | Professional mode, smoother animation, better quality, longer processing time |
POST https://dashscope.aliyuncs.com/api/v1/services/aigc/image2video/video-synthesisRequired headers:
Authorization: Bearer $DASHSCOPE_API_KEYContent-Type: application/jsonX-DashScope-Async: enableSingapore endpoint: replace dashscope.aliyuncs.com with dashscope-intl.aliyuncs.com.
image_url (string, required) -- public HTTP/HTTPS URL of the character imagevideo_url (string, required) -- public HTTP/HTTPS URL of the reference motion videowatermark (boolean, optional) -- add watermark (default: false)mode (string, required) -- wan-std or wan-procheck_image (boolean, optional) -- whether to perform image detection (default: true)output.task_id (string) -- use for polling, valid 24 hoursoutput.task_status (string) -- PENDING | RUNNING | SUCCEEDED | FAILED | CANCELED | UNKNOWNrequest_id (string)output.video_url (string) -- generated video URLusage.video_count (integer)usage.video_duration (integer) -- duration in secondsimport os
import json
import time
import requests
API_KEY = os.getenv("DASHSCOPE_API_KEY")
BASE_URL = "https://dashscope.aliyuncs.com/api/v1"
def create_animate_move_task(image_url: str, video_url: str, mode: str = "wan-std") -> str:
"""Create an animate-move task and return task_id."""
payload = {
"model": "wan2.2-animate-move",
"input": {
"image_url": image_url,
"video_url": video_url,
"watermark": False,
},
"parameters": {
"mode": mode,
},
}
resp = requests.post(
f"{BASE_URL}/services/aigc/image2video/video-synthesis",
headers={
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json",
"X-DashScope-Async": "enable",
},
json=payload,
)
resp.raise_for_status()
data = resp.json()
return data["output"]["task_id"]
def poll_task(task_id: str, interval: int = 15) -> dict:
"""Poll until task completes. Returns final response."""
while True:
resp = requests.get(
f"{BASE_URL}/tasks/{task_id}",
headers={"Authorization": f"Bearer {API_KEY}"},
)
resp.raise_for_status()
data = resp.json()
status = data["output"]["task_status"]
if status in ("SUCCEEDED", "FAILED", "CANCELED"):
return data
time.sleep(interval)| Error | Likely cause | Action |
|---|---|---|
| 401/403 | Missing or invalid DASHSCOPE_API_KEY | Check env var or credentials file |
400 InvalidParameter | Unsupported image/video format, bad dimensions, missing fields | Validate parameters |
| "does not support synchronous calls" | Missing X-DashScope-Async: enable header | Add required header |
| 429 | Rate limit or quota | Retry with backoff |
output/aliyun-wan-animate-move/videos/OUTPUT_DIR.wan2.2-animate-move.wan-std (fast/cheap) or wan-pro (high quality).references/api_reference.md for full HTTP API details.references/sources.md for source links.© cinience, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (scripts, references) in skills/ai/video/aliyun-wan-animate-move of cinience/alicloud-skills.
Open the folder on GitHubat commit 1818263
Aliyun Wan Animate Move 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Aliyun Wan Animate Move this skillcinience/alicloud-skills | 397 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Bailian Media Generationmodelstudioai/cli | 542 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Dashscopecalesthio/OpenMontage | 66k | — | ~1.5k | Automated safety check: Notes | AGPL-3.0 | |
| Image GenerationQwenLM/qwen-code-examples | 143 | — | ~568 | Automated safety check: Pass | MIT | |
| Cap Cinematic Demo GeneratorCapSoftware/Cap | 23k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Musictadaspetra/loop | 296 | 2 repos | ~827 | Automated safety check: Pass | MIT |
modelstudioai/cli
Chinese-language entry point into Alibaba Cloud Bailian's image, video and speech generation and understanding, routed through separate image, video, speech and vision commands.
calesthio/OpenMontage
DashScope (Alibaba Cloud Bailian / 阿里云百炼) integration — image generation (qwen-image-2.0-pro), text-to-speech (qwen3-tts-flash), and ASR with word-level timestamps (qwen3-asr-flash-filetrans).
QwenLM/qwen-code-examples
Image generation skill based on Alibaba Cloud DashScope, supporting the creation of high-quality hand-drawn or standard images from user descriptions.
CapSoftware/Cap
Turns any URL into a short cinematic product-demo video on macOS, scouting the page, recording it with virtual input, then treating the clip with Cap's 3D camera and music.
tadaspetra/loop
Generate music using ElevenLabs Music API. An agent skill from tadaspetra/loop.
wei/socialify
Add or update supported language, framework, library, tool, or platform icons in Socialify.
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Works with
Categories
A skill your agent uses when generating motion videos from a person image and a reference video with DashScope Wan 2.2 animate-move model (wan2.2-animate-move). Aliyun Wan Animate Move is an agent skill from cinience/alicloud-skills.2-animate-move).
Aliyun Wan Animate Move fits situations like: generating motion videos from a person image and a reference video with DashScope Wan 2.2 animate-move model (wan2.2-animate-move); transferring actions; dance moves from a reference video onto a character image via the image2video async API.
Run `npx skills add cinience/alicloud-skills --skill aliyun-wan-animate-move -a claude-code`. Or copy the skill folder (skills/ai/video/aliyun-wan-animate-move in cinience/alicloud-skills) into .claude/skills/aliyun-wan-animate-move in your project. Claude Code loads it when a task matches its description.
Run `npx skills add cinience/alicloud-skills --skill aliyun-wan-animate-move -a codex`. Or copy the skill folder (skills/ai/video/aliyun-wan-animate-move in cinience/alicloud-skills) into .agents/skills/aliyun-wan-animate-move in your project. Codex loads it when a task matches its description.
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-animate-move -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-animate-move, .gemini/skills/aliyun-wan-animate-move, .github/skills/aliyun-wan-animate-move and .opencode/skills/aliyun-wan-animate-move in your project.
Going by SKILL.md and its folder, Aliyun Wan Animate Move needs Python for the scripts in its folder, the command-line tools its instructions call (python and python3) and credentials named DASHSCOPE_API_KEY and API_KEY. Our summary lists: Python 3; A credential in DASHSCOPE_API_KEY; A credential in API_KEY.
SKILL.md names 1 domain. In commands or code: dashscope.aliyuncs.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
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.
Aliyun Wan Animate Move is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 6.2k 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 815 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Aliyun Wan Animate Move: 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.
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.