yandex-automation
by ComposioHQyandex-automation helps agents run Yandex workflows through Composio Rube MCP by searching current tools first, checking the Yandex connection, and building calls from live schemas.
Score: 66/100. This is acceptable for listing because it gives agents a clear Rube-based activation pattern for Yandex automation and enough setup guidance to avoid a purely generic prompt. For directory users, it should be viewed as a lightweight connector skill rather than a complete workflow pack: useful if they already use Rube MCP and want schema-first Yandex tool discovery, but limited for users seeking ready-made Yandex task playbooks.
- Valid frontmatter declares the Rube MCP requirement and a concise trigger: automate Yandex tasks through Composio/Rube.
- Prerequisites and setup steps clearly tell agents to verify RUBE_SEARCH_TOOLS, manage the Yandex connection, complete auth, and confirm ACTIVE status before running workflows.
- The skill repeatedly instructs agents to call RUBE_SEARCH_TOOLS first for current tool schemas, reducing risk from stale Yandex tool names or inputs.
- No support files, README, scripts, references, or install command are present beyond the single SKILL.md, so adoption depends on already knowing how to add the Rube MCP endpoint.
- Workflow content is mostly a generic discovery-and-connection pattern for Yandex rather than concrete Yandex task recipes, so agents may still need to infer task-specific execution steps after tool discovery.
Overview of yandex-automation skill
What yandex-automation is for
yandex-automation is a Claude skill for running Yandex-related workflows through Composio’s Rube MCP toolkit. Instead of hardcoding one fixed Yandex API flow, the skill tells the agent to discover the current Yandex tools, schemas, connection state, and execution plan before taking action. That matters because Rube tool names and required fields can vary as the toolkit evolves.
Best-fit users and jobs
The yandex-automation skill is best for users who already work in an MCP-enabled client and want an agent to perform Yandex operations with less manual tool lookup. It is most useful when your task is specific enough to execute, such as “check what Yandex tools are available,” “prepare a Yandex workflow,” or “run an authenticated Yandex action after confirming the connection is active.”
It is not a standalone Yandex SDK, browser automation script, or no-code dashboard. Its value is in guiding an AI agent to use the Rube MCP interface correctly.
Main differentiator: search tools first
The most important behavior in this skill is mandatory tool discovery. The agent should call RUBE_SEARCH_TOOLS first, using your actual use case, before choosing a tool or constructing arguments. This reduces failed calls caused by stale schemas, guessed parameters, or unavailable operations.
What to check before installing
Install yandex-automation if your client can connect to https://rube.app/mcp and expose Rube tools such as RUBE_SEARCH_TOOLS and RUBE_MANAGE_CONNECTIONS. You will also need an active Yandex connection through Rube. If you cannot use MCP tools, this skill will mostly read like guidance rather than executable automation.
How to Use yandex-automation skill
yandex-automation install and MCP setup
Install the skill from the Composio skill collection:
npx skills add ComposioHQ/awesome-claude-skills --skill yandex-automation
Then add Rube as an MCP server in your AI client:
https://rube.app/mcp
After setup, verify that the client can see RUBE_SEARCH_TOOLS. Next, use RUBE_MANAGE_CONNECTIONS with toolkit yandex to check whether your Yandex connection is ACTIVE. If it is not active, follow the returned authentication link and confirm the status before asking the agent to execute real work.
Inputs the skill needs from you
A good yandex-automation usage prompt should include the Yandex outcome, relevant account or workspace context, what may be changed, and any safety constraints. Avoid asking for “use Yandex” without naming the operation.
Weak prompt:
“Automate my Yandex task.”
Stronger prompt:
“Use yandex-automation to find the current Rube tools for Yandex Disk file operations. First check my Yandex connection status. If active, identify the tool schema for listing files in a target folder. Do not delete or modify anything. Show the planned tool call before execution.”
This works better because it gives the agent a use case for RUBE_SEARCH_TOOLS, sets a read-only boundary, and asks for plan confirmation before action.
Recommended workflow in practice
Start by asking the agent to discover tools for your exact task, not a generic Yandex query. The expected pattern is:
- Call
RUBE_SEARCH_TOOLSwith a use case such as “Yandex Disk folder listing” or “Yandex account operation.” - Reuse the returned session where possible.
- Call
RUBE_MANAGE_CONNECTIONSfor toolkityandex. - Confirm the connection is active.
- Build arguments from the returned schema, not from memory.
- Execute only after the planned action matches your intent.
For sensitive workflows, add a confirmation gate: “Before any write, send, update, delete, or permission-changing action, show the tool slug and arguments and wait for approval.”
Repository files to read first
The upstream skill is compact. Read composio-skills/yandex-automation/SKILL.md first because it contains the prerequisites, setup sequence, tool discovery rule, and core workflow pattern. There are no extra scripts/, references/, resources/, or rules/ folders in the current repository tree, so adoption depends mainly on understanding the Rube MCP flow rather than browsing support files.
yandex-automation skill FAQ
Is yandex-automation for Workflow Automation or API coding?
The yandex-automation skill is closer to agentic workflow automation than API coding. You are not importing a Yandex SDK or writing direct REST calls. You are instructing an AI agent to use Composio Rube MCP tools, discover the available Yandex operations, and execute them with the current schema.
What does it do better than an ordinary prompt?
An ordinary prompt may cause the model to guess tool names, assume outdated fields, or skip authentication checks. yandex-automation adds a safer operating pattern: search tools first, inspect schemas, manage the Yandex connection, then execute. That is the core reason to install it instead of writing a generic “use Yandex” prompt.
Is this beginner-friendly?
It is beginner-friendly if you already know how to enable MCP servers in your client. If MCP setup is new to you, the main learning curve is not Yandex itself; it is verifying that Rube is connected and that the Yandex toolkit connection is active. Once those are in place, the skill gives a simple repeatable pattern.
When should I not use yandex-automation?
Do not use yandex-automation when you need offline processing, direct control over low-level Yandex API requests, browser UI automation, or a workflow that must run without an MCP-capable agent. Also avoid it for destructive Yandex actions unless you add explicit approval steps and review the discovered tool schema carefully.
How to Improve yandex-automation skill
Make yandex-automation prompts more specific
The biggest quality improvement is to describe the target operation in operational terms. Include the object type, desired action, scope, and risk boundary.
Better input pattern:
“Use yandex-automation for a read-only Yandex workflow. Search current Rube tools for [specific task], check the yandex connection, report the matching tool slug and required fields, then ask before running anything that changes data.”
This gives the agent enough structure to choose the right discovery query and avoid premature execution.
Prevent common failure modes
Common failures include skipping RUBE_SEARCH_TOOLS, using guessed parameters, continuing when the Yandex connection is inactive, or treating an unclear request as permission to modify data. Prevent these by writing prompts that require discovery, connection verification, schema-based arguments, and confirmation for writes.
A strong safety clause is:
“If any required field is missing or ambiguous, stop and ask me. Do not invent IDs, paths, names, dates, or account details.”
Iterate after the first result
After the first tool discovery result, refine the task using the returned tool names and required fields. For example, if Rube returns multiple Yandex tools, ask the agent to compare which one matches your goal, what fields are mandatory, and what side effects each action may have. This turns yandex-automation from a generic connector into a controlled execution workflow.
Add project-specific conventions
For repeat use, create your own local prompt notes around yandex-automation: preferred read-only defaults, naming conventions, approval rules, target folders or accounts, and escalation steps when Rube returns an unexpected schema. The upstream skill is intentionally lean, so local conventions are the best way to make it reliable for team workflows without modifying the core skill.