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Aliyun Videoretalk

Community
cinience
aliyun-videoretalk

Use when replacing lip sync in existing videos with Alibaba Cloud Model Studio VideoRetalk (`videoretalk`). Use when creating dubbed videos, replacing narration, or synchronizing a talking-head video to a new speech track.

Overview

Publishercinience
Repositoryalicloud-skills
Skill namealiyun-videoretalk
Stars
397
Forks
34
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cinience on GitHub. Read the source before you install it.

Installation

Install the Aliyun Videoretalk AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-videoretalk
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cinience/alicloud-skills.git /tmp/alicloud-skills
mkdir -p .claude/skills
cp -r /tmp/alicloud-skills/skills/ai/video/aliyun-videoretalk .claude/skills/aliyun-videoretalk
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aliyun Videoretalk in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aliyun Videoretalk on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aliyun Videoretalk is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Category: provider

Model Studio VideoRetalk

Validation

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

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

Output And Evidence

  • Save normalized request payloads, target face selection settings, and task polling snapshots under output/aliyun-videoretalk/.
  • Record the exact video/audio input URLs and whether video_extension was enabled.

Use VideoRetalk when the input is already a person video and the job is to replace lip sync with a new speech track.

Critical model names

Use this exact model string:

  • videoretalk

Prerequisites

  • This model currently only supports China mainland (Beijing).
  • API is HTTP async only; there is no online console experience.
  • Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.

Normalized interface (video.retalk)

Request

  • model (string, optional): default videoretalk
  • video_url (string, required)
  • audio_url (string, required)
  • ref_image_url (string, optional): target face when input video contains multiple faces
  • video_extension (bool, optional): extend video to match longer audio
  • query_face_threshold (int, optional): 120 to 200

Response

  • task_id (string)
  • task_status (string)
  • video_url (string, when finished)
  • usage (object, optional)

Endpoint and execution model

  • Submit task: POST https://dashscope.aliyuncs.com/api/v1/services/aigc/image2video/video-synthesis/
  • Poll task: GET https://dashscope.aliyuncs.com/api/v1/tasks/{task_id}
  • HTTP calls are async only and must set header X-DashScope-Async: enable.

Quick start

bash
python skills/ai/video/aliyun-videoretalk/scripts/prepare_retalk_request.py \
  --video-url "https://example.com/talking-head.mp4" \
  --audio-url "https://example.com/new-voice.wav" \
  --video-extension

Operational guidance

  • Keep input videos front-facing and close enough for stable face tracking.
  • If the video contains multiple faces, provide ref_image_url to anchor the intended target.
  • If the new audio is longer than the input video, decide explicitly whether to extend the picture track or truncate the audio.
  • URLs must be public HTTP/HTTPS links; local file paths are not accepted by the API.

Output location

  • Default output: output/aliyun-videoretalk/request.json
  • Override base dir with OUTPUT_DIR.

References

  • references/sources.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Aliyun Videoretalk AI skill do?

Use when replacing lip sync in existing videos with Alibaba Cloud Model Studio VideoRetalk (`videoretalk`). Use when creating dubbed videos, replacing narration, or synchronizing a talking-head video to a new speech track.

Why use Aliyun Videoretalk on TypingMind?

Because you install it once and use it with any model. Aliyun Videoretalk is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aliyun Videoretalk in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-videoretalk. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Aliyun Videoretalk?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aliyun Videoretalk?

As many as you like. As long as a model supports skills, you can use Aliyun Videoretalk with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aliyun Videoretalk AI skill free?

Yes. It is published on GitHub by cinience under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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