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aliyun-modelstudio-entry阿里云 modelstudio 入门

Agent Skill

aliyun-modelstudio-entry 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

759

周安装

31

GitHub Stars

383

下载量

243
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:aliyun-modelstudio-entry(阿里云 modelstudio 入门)
来源仓库:https://github.com/cinience/alicloud-skills
仓库路径:skills/aliyun-modelstudio-entry
安装命令:
npx skills add https://github.com/cinience/alicloud-skills --skill aliyun-modelstudio-entry
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/cinience/alicloud-skills --skill aliyun-modelstudio-entry

简介

aliyun-modelstudio-entry 用于将请求路由至本地已有技能以统一模型调用入口。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中简化多模型管理流程。
  • 依赖 DashScope SDK 和环境变量 DASHSCOPE_API_KEY 完成认证与转发。
  • 使用前应检查路由表是否覆盖所需功能,避免重复实现相同能力。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

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)

NeedTarget skill
Text generation / reasoning / tool-callingskills/ai/text/aliyun-qwen-generation/
Coding / repository reasoningskills/ai/code/aliyun-qwen-coder/
Deep multi-step researchskills/ai/research/aliyun-qwen-deep-research/
Text-to-image / image generationskills/ai/image/aliyun-qwen-image/
Image editingskills/ai/image/aliyun-qwen-image-edit/
Text-to-video / image-to-video (t2v/i2v)skills/ai/video/aliyun-wan-video/
Non-Wan PixVerse video generationskills/ai/video/aliyun-pixverse-generation/
Reference-to-video (r2v)skills/ai/video/aliyun-wan-r2v/
Digital human talking / singing avatarskills/ai/video/aliyun-wan-digital-human/
Expressive portrait video (EMO)skills/ai/video/aliyun-emo/
Lightweight portrait animation (LivePortrait)skills/ai/video/aliyun-liveportrait/
Motion transfer / dancing avatar (AnimateAnyone)skills/ai/video/aliyun-animate-anyone/
Emoji / meme portrait videoskills/ai/video/aliyun-emoji/
Text-to-speech (TTS)skills/ai/audio/aliyun-qwen-tts/
Speech recognition/transcription (ASR)skills/ai/audio/aliyun-qwen-asr/
Realtime speech recognitionskills/ai/audio/aliyun-qwen-asr-realtime/
Realtime TTSskills/ai/audio/aliyun-qwen-tts-realtime/
Live speech translationskills/ai/audio/aliyun-qwen-livetranslate/
CosyVoice voice cloneskills/ai/audio/aliyun-cosyvoice-voice-clone/
CosyVoice voice designskills/ai/audio/aliyun-cosyvoice-voice-design/
Voice cloneskills/ai/audio/aliyun-qwen-tts-voice-clone/
Voice designskills/ai/audio/aliyun-qwen-tts-voice-design/
Omni multimodal interactionskills/ai/multimodal/aliyun-qwen-omni/
Visual reasoningskills/ai/multimodal/aliyun-qvq/
OCR / document parsing / table parsingskills/ai/multimodal/aliyun-qwen-ocr/
Text embeddingsskills/ai/search/aliyun-qwen-text-embedding/
Multimodal embeddingsskills/ai/search/aliyun-qwen-multimodal-embedding/
Rerankskills/ai/search/aliyun-qwen-rerank/
Vector retrievalskills/ai/search/aliyun-dashvector-search/ or skills/ai/search/aliyun-opensearch-search/ or skills/ai/search/aliyun-milvus-search/
Document understandingskills/ai/text/aliyun-docmind-extract/
Video editingskills/ai/video/aliyun-wan-edit/
Video lip-sync replacement / retalkskills/ai/video/aliyun-videoretalk/
Model list crawl/updateskills/ai/misc/aliyun-modelstudio-crawl-and-skill/

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/aliyun-modelstudio-entry
echo "validation_placeholder" > output/aliyun-modelstudio-entry/validate.txt

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

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/aliyun-modelstudio-entry/.
  • 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.

适合场景

01

文本生成图片

02

图片风格化

03

产品图和创意图

04

需要 FLUX 模型时

能力概览

能力 1

调用 FLUX 图像模型

能力 2

支持文本生图和图像改写

能力 3

覆盖 LoRA 或风格适配

能力 4

适合创意视觉生成

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

38.11%
按下载量换算93

Claude

30.64%
按下载量换算74

Cursor

16.53%
按下载量换算40

Gemini CLI

9.47%
按下载量换算23

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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