SkillFoxx

Cloud.ru Skills for AI Agents

Cloud.ru Skills для AI-агентов

Official Cloud.ru skills: account setup, Foundation Models, ML Inference, virtual machines, RAG and Evolution AI Agents

  • 7 ★ on the repository
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SkillOfficialEditors’ pick

Broad access

Why this level

  • Creates and removes real virtual machines and ML deployments billed by usage
  • Manages AI agents and MCP servers on the Evolution platform with your account's rights
All reasons and checks
Russian stack

cloud-ru/evo-aifactory-skillsAuthor:Cloud.ru

Install

Services

In your terminal, with SkillFoxx CLI

npx skillfoxx add skills/cloud-ru-skills-dlya-ai-agentov

Detects the agents on your machine, shows the access level and pins the version.

Other ways to install

Access and checks

How we review

Broad accessThe tool can change data, run commands or handle secrets.

  • Creates and removes real virtual machines and ML deployments billed by usage
  • Manages AI agents and MCP servers on the Evolution platform with your account's rights

This is third-party code. Review the repository files before installing.

What it does

The project gives six skills for managing Cloud.ru from a development agent. cloudru-account-setup creates a service account and keys via browser login. cloudru-foundation-models calls ready LLMs through the Foundation Models API. cloudru-ml-inference deploys and manages your own GPU ML models. cloudru-vm creates and configures virtual machines. cloudru-managed-rag builds a RAG pipeline: knowledge bases, semantic search and LLM-backed Q&A. cloudru-ai-agents manages the Evolution AI Agents platform: agents, systems, MCP servers, triggers, workflows and the marketplace. Each skill is a folder with a SKILL.md and Python scripts, and the skills are agent-agnostic, working with Claude Code, Cursor, Windsurf, Cline, Aider and more.

Who it is for. For developers and ML engineers on Cloud.ru who want to deploy models, VMs and RAG pipelines right from a chat with an agent.

Good fit when

  • You need to quickly call a Cloud.ru Foundation Models model from an agent
  • You need to deploy a virtual machine or a GPU ML model without manual console work
  • You need a RAG pipeline over documents with semantic search and LLM answers

Not a fit when

  • You have no Cloud.ru account and creating one is out of scope
  • You do not want to install the httpx, boto3 or playwright Python dependencies each skill needs
  • You need a different cloud provider, not Cloud.ru

Example request

Deploy a Cloud.ru virtual machine with Ubuntu 22.04 and show me its floating IP

Limitations

It needs real Cloud.ru credentials: CP_CONSOLE_KEY_ID, CP_CONSOLE_SECRET, PROJECT_ID and a separate Foundation Models API key. Different skills need different Python dependencies: httpx for all of them, boto3 for managed-rag, playwright for account-setup. The project is under active development by the Cloud.ru team itself.

How to disable. Delete the relevant skill folders (for example cloudru-vm or cloudru-managed-rag) from your agent install.

FAQ

How do I get credentials?

Through the cloudru-account-setup skill with browser login (needs playwright), or by setting environment variables manually.

Can I use this outside Claude Code?

Yes, the skills are agent-agnostic and work with any agent that reads markdown and runs Python scripts.

Discussion

No questions or reviews yet.

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README in short

The Russian README from the Cloud.ru team lists six skills in a table with short descriptions, and gives a step-by-step quick start from credential setup to calling models, deploying ML inference, creating VMs and running RAG and Evolution AI Agents. A separate WORKFLOW.md file covers cross-skill scenarios and a decision matrix for Foundation Models API versus ML Inference.

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