Agent skill

Aliyun Video Style Repaint

by cinience in cinience/alicloud-skills

A skill your agent uses when transforming video style with DashScope video-style-transform model.

MITAuto-check passedMedia & Creative

Install Aliyun Video Style Repaint

skills CLI
$ npx skills add cinience/alicloud-skills --skill aliyun-video-style-repaint -a claude-code

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

GitHub CLI
$ gh skill install cinience/alicloud-skills aliyun-video-style-repaint --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-video-style-repaint .claude/skills/aliyun-video-style-repaint && 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/

Facts

Skill name
aliyun-video-style-repaint
GitHub stars
397
Token cost
~1.5k tokens
SKILL.md length
457 words
Files
4 (incl. scripts, references)
Skills in repo
96
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when transforming video style with DashScope video-style-transform model.

  • Works in 5 steps: Confirm user intent: select desired… → Prepare video URL with valid format and… → Configure parameters (style, fps,… → …
  • Transforming video style with DashScope video-style-transform model
  • SKILL.md covers Validation, Output And Evidence, Prerequisites and Critical model names, plus 9 more sections
  • Runs Python scripts from its folder; calls python and python3; reaches dashscope.aliyuncs.com; needs DASHSCOPE_API_KEY and API_KEY

What it does

Aliyun Video Style Repaint is an agent skill from cinience/alicloud-skills. Use when transforming video style with DashScope video-style-transform model. Use when converting videos to artistic styles such as Japanese manga, American comics, 3D cartoon, Chinese ink painting, paper art, or simple illustration via the video-synthesis 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/repaint_video.py`).

It sits in Media & Creative, covering Comics and storyboards and AI video generation. 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

  • Transforming video style with DashScope video-style-transform model
  • Converting videos to artistic styles such as Japanese manga
  • American comics
  • Chinese ink painting

Example prompts

  • “/aliyun-video-style-repaint”

Requirements

  • Python 3
  • A credential in DASHSCOPE_API_KEY
  • A credential in API_KEY

Workflow steps

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

  1. Confirm user intent: select desired artistic style from the 8 presets.
  2. Prepare video URL with valid format and dimensions.
  3. Configure parameters (style, fps, resolution, super-resolution).
  4. Create async task and poll for results.
  5. Download and save transformed video before URL expiration.

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

    Hosts in commands or code, which the agent is likely to contact:

    • dashscope.aliyuncs.com

    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
    • API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Aliyun Video Style Repaint loads about 1.5k tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 457 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
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.3k

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). 457 words, ~1,502 tokens.

Download SKILL.mdSave it as .claude/skills/aliyun-video-style-repaint/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
aliyun-video-style-repaint
description
Use when transforming video style with DashScope video-style-transform model. Use when converting videos to artistic styles such as Japanese manga, American comics, 3D cartoon, Chinese ink painting, paper art, or simple illustration via the video-synthesis async API.

Video Style Repaint

Validation

bash
mkdir -p output/aliyun-video-style-repaint
python -m py_compile skills/ai/video/aliyun-video-style-repaint/scripts/repaint_video.py && echo "py_compile_ok" > output/aliyun-video-style-repaint/validate.txt

Pass criteria: command exits 0 and output/aliyun-video-style-repaint/validate.txt is generated.

Output And Evidence

  • Save task IDs, polling responses, and final video URLs to output/aliyun-video-style-repaint/.
  • Keep at least one end-to-end run log for troubleshooting.

Prerequisites

  • Install SDK (recommended in a venv):
bash
python3 -m venv .venv
. .venv/bin/activate
python -m pip install requests
  • Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.
  • This API is only available in the Beijing region. You must use a Beijing-region API Key.

Critical model names

  • video-style-transform -- supports 8 preset artistic styles

Supported styles

Style IDName (EN)Name (CN)
0Japanese Manga日式漫画
1American Comics美式漫画
2Fresh Comics清新漫画
33D Cartoon3D 卡通
4Chinese Cartoon国风卡通
5Paper Art纸艺风格
6Simple Illustration简易插画
7Chinese Ink Painting国风水墨

API endpoint (async only)

POST https://dashscope.aliyuncs.com/api/v1/services/aigc/video-generation/video-synthesis

Required headers:

  • Authorization: Bearer $DASHSCOPE_API_KEY
  • Content-Type: application/json
  • X-DashScope-Async: enable

Normalized interface

Request
  • video_url (string, required) -- public HTTP/HTTPS URL of the input video
  • style (integer, optional) -- style ID 0-7 (default: 0, Japanese Manga)
  • video_fps (integer, optional) -- output frame rate, range [15, 25] (default: 15)
  • animate_emotion (boolean, optional) -- facial expression optimization (default: true)
  • min_len (integer, optional) -- output short-side pixels, 720 or 540 (default: 720)
  • use_SR (boolean, optional) -- super-resolution enhancement (default: false)
Video input limits
  • Formats: MP4, AVI, MKV, MOV, FLV, TS, MPG, MXF
  • Resolution: [256, 4096] pixels per side, aspect ratio max 1.8:1
  • Duration: up to 30 seconds
  • Max size: 100MB
  • URL: must be URL-encoded if contains non-ASCII characters
Response (task creation)
  • output.task_id (string) -- use for polling, valid 24 hours
  • output.task_status (string) -- PENDING | RUNNING | SUSPENDED | SUCCEEDED | FAILED
  • request_id (string)
Response (task result)
  • output.output_video_url (string) -- result video URL
  • output.task_status (string) -- final status
  • output.submit_time (string) -- task submission time
  • output.scheduled_time (string) -- task execution start time
  • output.end_time (string) -- task completion time
  • usage.duration (integer) -- video duration in seconds
  • usage.SR (integer) -- resolution used
Show full SKILL.md (168 more words)Show less

Quick start (Python + HTTP)

python
import os
import json
import time
import requests

API_KEY = os.getenv("DASHSCOPE_API_KEY")
BASE_URL = "https://dashscope.aliyuncs.com/api/v1"

def create_style_repaint_task(video_url: str, style: int = 0) -> str:
    """Create a video style repaint task and return task_id."""
    payload = {
        "model": "video-style-transform",
        "input": {
            "video_url": video_url,
        },
        "parameters": {
            "style": style,
            "video_fps": 15,
        },
    }
    resp = requests.post(
        f"{BASE_URL}/services/aigc/video-generation/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", "SUSPENDED"):
            return data
        time.sleep(interval)

Error handling

ErrorLikely causeAction
401/403Missing or invalid DASHSCOPE_API_KEYCheck env var or credentials file
400 InvalidParameterUnsupported video format, bad dimensions, invalid styleValidate parameters
"does not support synchronous calls"Missing X-DashScope-Async: enable headerAdd required header
429Rate limit or quotaRetry with backoff

Output location

  • Default output: output/aliyun-video-style-repaint/videos/
  • Override base dir with OUTPUT_DIR.

Anti-patterns

  • Do not use model names other than video-style-transform.
  • Do not call this API synchronously -- async header is required.
  • Do not use style IDs outside 0-7 range.
  • Video URLs expire after 24 hours; download and persist immediately.
  • Do not use Singapore endpoint -- this API is Beijing-region only.

Workflow

  1. Confirm user intent: select desired artistic style from the 8 presets.
  2. Prepare video URL with valid format and dimensions.
  3. Configure parameters (style, fps, resolution, super-resolution).
  4. Create async task and poll for results.
  5. Download and save transformed video before URL expiration.

References

  • See references/api_reference.md for full HTTP API details.
  • See 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

Files

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

  • SKILL.md
  • references/api_reference.md
  • references/sources.md
  • scripts/repaint_video.py

Open the folder on GitHubat commit 1818263

Compare with similar skills

Aliyun Video Style Repaint 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 Video Style Repaint compared with similar skills
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Music VideoNoizAI/skills526—~1.5kAutomated safety check: PassNone
Video ComposeUtopai-Research/pai-code357—~4.1kAutomated safety check: PassCustom licence
Xianxia Cinematic Video Directorliyue-aigc/xianxia-cinematic-video-director269—~1.4kAutomated safety check: PassNone
Seedance 2.0 Storyboard Promptselementsix/elementsix-skills311—~1.4kAutomated safety check: PassMIT

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Works with

Questions about Aliyun Video Style Repaint

What does Aliyun Video Style Repaint do?

A skill your agent uses when transforming video style with DashScope video-style-transform model. Aliyun Video Style Repaint is an agent skill from cinience/alicloud-skills. Use when transforming video style with DashScope video-style-transform model.

When should I use Aliyun Video Style Repaint?

Aliyun Video Style Repaint fits situations like: transforming video style with DashScope video-style-transform model; converting videos to artistic styles such as Japanese manga; american comics; chinese ink painting.

How do I install Aliyun Video Style Repaint in Claude Code?

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

How do I install Aliyun Video Style Repaint in Codex?

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

Can I use Aliyun Video Style Repaint 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-video-style-repaint -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-video-style-repaint, .gemini/skills/aliyun-video-style-repaint, .github/skills/aliyun-video-style-repaint and .opencode/skills/aliyun-video-style-repaint in your project.

What does Aliyun Video Style Repaint need to run?

Going by SKILL.md and its folder, Aliyun Video Style Repaint 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.

Does Aliyun Video Style Repaint access the network?

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.

Is Aliyun Video Style Repaint 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 Video Style Repaint use?

Aliyun Video Style Repaint 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 Video Style Repaint use?

About 1.5k tokens (SKILL.md is roughly 6k 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 802 tokens, read only when the agent opens those files.

What are the alternatives to Aliyun Video Style Repaint?

Skills that share tags, products or a category with Aliyun Video Style Repaint: Scroll Promo Site Builder (kangarooking/kangarooking-skills, 662 stars), Music Video (NoizAI/skills, 526 stars), Video Compose (Utopai-Research/pai-code, 357 stars) and Xianxia Cinematic Video Director (liyue-aigc/xianxia-cinematic-video-director, 269 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aliyun Video Style Repaint?

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.