cinience/alicloud-skills

alibaba cloud skills，qwen ，wan and all skills

What it solves

This project provides a curated collection of "skills" (tool definitions and prompt templates) that allow AI agents to interact with Alibaba Cloud's core infrastructure and AI services. It bridges the gap between a general-purpose AI chat box and the actual execution of cloud operations, such as managing virtual private clouds (VPCs), generating multimodal content, and querying logs.

How it works

The repository organizes skills by product line (e.g., AI, Compute, Storage, Network). Each skill consists of a set of instructions and API mappings that enable an agent to call the correct Alibaba Cloud service. Users can install these skills using a CLI tool (npx skills add), configure their Alibaba Cloud AccessKeys, and then use natural language prompts to trigger specific cloud tasks.

Who it’s for

  • AI Agent Developers: Those building agents that need to manage cloud infrastructure or leverage Alibaba Cloud's Model Studio.
  • Cloud Engineers: Users who want to automate cloud management tasks (like VPC provisioning or log troubleshooting) using natural language.
  • Content Creators: Users leveraging AI for multimodal pipelines (text-to-image, image-to-video, TTS).

Highlights

  • Broad Service Coverage: Includes skills for Model Studio (Qwen, Wan, Kling, Vidu), OSS, ECS, VPC, and SLS.
  • Multimodal Pipelines: Provides "Solution Playbooks" for chaining skills, such as creating a marketing asset pipeline (image $\rightarrow$ video $>\text{voice-over} \rightarrow$ upload).
  • Cross-Cloud Benchmarking: Includes tools to benchmark Alibaba Cloud's AI platforms against AWS, Azure, GCP, and others.
  • Infrastructure Management: Extends beyond AI models to include network operations, serverless deployment (FC 3.0), and security compliance (KMS).

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