alicloud-ai-entry-modelstudio
Route Alibaba Cloud Model Studio requests to the right local skill (Qwen Image, Qwen Image Edit, Wan Video, Wan R2V, Qwen TTS, Qwen ASR and advanced TTS variants). Use when the user asks for Model Studio without specifying a capability.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/cinience/alicloud-ai-entry-modelstudioWhat This Skill Does
The alicloud-ai-entry-modelstudio skill acts as the centralized gateway for all Alibaba Cloud Model Studio interactions within the OpenClaw environment. Instead of requiring users to manually navigate complex directory structures or know the exact technical implementation details of every specialized AI sub-skill, this agent acts as an intelligent router. It analyzes incoming requests and dispatches them to the appropriate localized backend skill—whether that involves image generation via Qwen, video synthesis through Wan, audio processing, or vector search operations. This abstraction layer ensures that users can interact with Alibaba Cloud's suite of powerful AI models using natural language without worrying about infrastructure specifics.
Installation
To integrate this entry point into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/cinience/alicloud-ai-entry-modelstudio
Ensure you have completed the prerequisite installation of the DashScope SDK:
python3 -m venv .venv && source .venv/bin/activate && python -m pip install dashscope
Finally, authenticate by setting your environment variable: export DASHSCOPE_API_KEY='your-api-key-here' or by configuring the credentials file located at ~/.alibabacloud/credentials.
Use Cases
- Unified AI Access: Simplifies interaction when a user expresses a general desire to use "Alibaba Cloud AI" without specifying a model name.
- Task Routing: Automatically identifies if a prompt requires Image generation (Qwen), Video creation (Wan), or Text-to-Speech (TTS) based on keywords and user intent.
- Infrastructure Management: Provides a consistent interface for developers to trigger long-running asynchronous tasks, such as video rendering, by handling the polling logic behind the scenes.
- Orchestration: Helps manage complex workflows that might involve multiple steps, such as generating an image and then using that image as a source for video generation.
Example Prompts
- "I want to generate a high-quality cinematic landscape image using Alibaba Cloud Model Studio."
- "Convert this short script into a professional sounding voice-over using the TTS engine."
- "Create a video clip based on the prompt of a futuristic city; please use the Wan model."
Tips & Limitations
- Clarification: If the intent is ambiguous (e.g., just "Help me with AI"), the skill will prompt you to specify if you need text, image, video, or audio processing.
- Async Tasks: For time-intensive operations like video synthesis, always check the returned task status via the provided polling URL. The system recommends a 15-20 second interval for best results.
- Limitations: Note that this entry point currently lacks native support for ASR (Speech Recognition) and advanced Rerank operations; please check the roadmap for future updates to the repository.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-cinience-alicloud-ai-entry-modelstudio": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: external-api, network-access
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