name: alicloud-ai-entry-modelstudio description: Route Alibaba Cloud Model Studio requests to the right local skill (Qwen text, coder, deep research, image, video, audio, search and multimodal skills). Use when the user asks for Model Studio without specifying a capability. version: 1.0.0

Category: task

Alibaba Cloud Model Studio Entry (Routing)

Route requests to existing local skills to avoid duplicating model/parameter details.

Prerequisites

• Install SDK (virtual environment recommended to avoid PEP 668 restrictions):

python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope

• Configure DASHSCOPE_API_KEY (environment variable preferred; or dashscope_api_key in ~/.alibabacloud/credentials).

Routing Table (currently supported in this repo)

When Not Matched

• Clarify model capability and input/output type first.
• If capability is missing in repo, add a new skill first.

Common Missing Capabilities In This Repo (remaining gaps)

• image translation

• virtual try-on / digital human / advanced video personas

• For multimodal/ASR download failures, prefer public URLs listed above.

• For ASR parameter errors, use data URI in input_audio.data.

• For multimodal embedding 400, ensure input.contents is an array.

Async Task Polling Template (video/long-running tasks)

When X-DashScope-Async: enable returns task_id, poll as follows:

GET https://dashscope.aliyuncs.com/api/v1/tasks/<task_id>
Authorization: Bearer $DASHSCOPE_API_KEY

Example result fields (success):

{
  "output": {
    "task_status": "SUCCEEDED",
    "video_url": "https://..."
  }
}

Notes:

• Recommended polling interval: 15-20 seconds, max 10 attempts.
• After success, download output.video_url.

Clarifying questions (ask when uncertain)

1. Are you working with text, image, audio, or video?
2. Is this generation, editing/understanding, or retrieval?
3. Do you need speech (TTS/ASR/live translate) or retrieval (embedding/rerank/vector DB)?
4. Do you want runnable SDK scripts or just API/parameter guidance?

References

• Model list and links:output/alicloud-model-studio-models-summary.md

• API/parameters/examples: see target sub-skill SKILL.md and references/*.md

• Official source list:references/sources.md

Validation

mkdir -p output/alicloud-ai-entry-modelstudio
echo "validation_placeholder" > output/alicloud-ai-entry-modelstudio/validate.txt

Pass criteria: command exits 0 and output/alicloud-ai-entry-modelstudio/validate.txt is generated.

Output And Evidence

• Save artifacts, command outputs, and API response summaries under output/alicloud-ai-entry-modelstudio/.
• Include key parameters (region/resource id/time range) in evidence files for reproducibility.

Workflow

1. Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
2. Run one minimal read-only query first to verify connectivity and permissions.
3. Execute the target operation with explicit parameters and bounded scope.
4. Verify results and save output/evidence files.