smartproxy-automation

Overview of smartproxy-automation skill

What smartproxy-automation is for

smartproxy-automation is a Claude skill for running Smartproxy-related operations through Composio’s Rube MCP toolkit. Its main value is not a fixed proxy script; it teaches the agent to discover the current Smartproxy tool schema first, verify the connection, and then execute the right Rube tool calls for the task.

Use this skill when you want an AI agent to help with Smartproxy workflows without manually checking Composio tool names, required fields, and connection status every time.

Best-fit users and workflows

The smartproxy-automation skill fits users who already use, or plan to use, Smartproxy with Composio/Rube MCP. It is most useful for workflow automation where the exact Smartproxy operation may vary: account checks, connection-aware execution, proxy-related task setup, or tool-driven actions exposed by the Smartproxy toolkit.

It is a better fit for agentic automation than for static documentation lookup. The skill assumes the agent can call MCP tools, inspect returned schemas, and adapt execution based on the latest available Smartproxy tools.

Key differentiator: schema discovery first

The most important behavior is the “search tools first” pattern. Instead of hardcoding a Smartproxy API shape that may become stale, smartproxy-automation instructs the agent to call RUBE_SEARCH_TOOLS before execution. That call returns available tool slugs, input schemas, suggested plans, and pitfalls.

This makes the skill useful when Composio’s Smartproxy toolkit changes over time, but it also means the skill depends on live MCP access and an active Smartproxy connection.

How to Use smartproxy-automation skill

smartproxy-automation install and setup context

Install the skill in a Claude skills-compatible environment with:

npx skills add ComposioHQ/awesome-claude-skills --skill smartproxy-automation

Then add Rube MCP as an MCP server in your client configuration using:

https://rube.app/mcp

Before asking for automation, confirm that RUBE_SEARCH_TOOLS is available. Next, use RUBE_MANAGE_CONNECTIONS with toolkit smartproxy and complete the returned authorization flow if the Smartproxy connection is not ACTIVE. Do not expect useful execution until the MCP server responds and the Smartproxy connection is active.

Inputs the skill needs from you

A weak request like “use Smartproxy” forces the agent to guess. A stronger smartproxy-automation usage prompt includes:

• the Smartproxy task you want completed;
• whether this is a check, setup, retrieval, or execution workflow;
• any known fields such as region, proxy type, session, endpoint, account, or target system;
• constraints such as “do not make changes,” “verify only,” or “ask before executing”;
• whether the agent should return a plan, run the workflow, or produce reusable steps.

Example prompt:

“Use the smartproxy-automation skill. First discover current Smartproxy tools with RUBE_SEARCH_TOOLS, then check my smartproxy connection. If active, find the tool schema for managing proxy-related operations and propose the exact execution plan before calling any mutating tool.”

Practical workflow for reliable execution

A good smartproxy-automation guide workflow is:

1. Discover tools with RUBE_SEARCH_TOOLS for the specific Smartproxy task.
2. Reuse the returned session ID for follow-up tool calls when available.
3. Check smartproxy connection status through RUBE_MANAGE_CONNECTIONS.
4. Read the returned schema before forming tool arguments.
5. Execute only after required fields are known.
6. Summarize what was called, what changed, and what still needs user action.

This sequence matters because the upstream skill is intentionally lightweight. Its quality comes from enforcing live tool discovery rather than from bundled scripts, examples, or local reference files.

Repository files to read first

The repository path is composio-skills/smartproxy-automation, and the main file to inspect is SKILL.md. There are no extra scripts/, resources/, references/, or rules/ folders in the current structure, so adoption decisions should focus on whether the instructions in SKILL.md match your MCP environment.

Read the prerequisites and setup sections first. They define the real blockers: Rube MCP availability, Smartproxy toolkit connection, and mandatory schema discovery before execution.

smartproxy-automation skill FAQ

Is smartproxy-automation useful without Rube MCP?

No. The smartproxy-automation skill requires Rube MCP, specifically access to RUBE_SEARCH_TOOLS and RUBE_MANAGE_CONNECTIONS. Without MCP tool calling, it becomes only a text instruction and cannot automate Smartproxy operations.

How is this better than an ordinary Smartproxy prompt?

A generic prompt may hallucinate tool names, assume outdated fields, or skip connection checks. This skill tells the agent to discover current Composio Smartproxy schemas before acting. That makes it safer for Workflow Automation where the available tool list and required parameters may change.

Is this skill beginner-friendly?

It is beginner-friendly if your environment already supports Claude skills and MCP servers. It is not beginner-friendly as a first introduction to proxies, Smartproxy account setup, or MCP configuration. New users should first confirm that Rube MCP is connected and that Smartproxy authorization reaches ACTIVE.

When should I not use this skill?

Do not use it for direct Smartproxy API coding, scraping strategy design, proxy rotation policy advice, or tasks outside the Composio Smartproxy toolkit. Also avoid it when you cannot allow the agent to call live tools, because the skill’s core workflow depends on tool discovery and connection management.

How to Improve smartproxy-automation skill

Improve prompts by naming the exact Smartproxy job

The fastest way to improve smartproxy-automation output is to specify the job type. For example, “check available Smartproxy account operations,” “prepare a non-mutating connection verification,” or “discover tools for proxy session management” gives the agent a narrower RUBE_SEARCH_TOOLS query.

Avoid mixing several goals in one request. Ask for discovery first, review the plan, then allow execution.

Reduce failure modes with explicit guardrails

Common failures include trying to execute before checking connection status, using guessed parameters, or treating old examples as current schemas. Prevent this by adding guardrails such as:

• “Always call RUBE_SEARCH_TOOLS before choosing a tool.”
• “Do not call mutating tools until I approve the plan.”
• “If required fields are missing, ask me instead of inventing values.”
• “Summarize the exact schema fields you used.”

These instructions align with the skill’s intended workflow and reduce automation surprises.

Iterate after the first tool discovery

The first discovery result should shape the rest of the workflow. After RUBE_SEARCH_TOOLS returns tool slugs and schemas, ask the agent to restate:

• which tool is most relevant;
• which fields are required;
• which fields are optional but useful;
• what connection or authorization risk remains;
• whether the call is read-only or mutating.

This turns smartproxy-automation from a broad instruction into a controlled execution path.

What would make the skill stronger

The current smartproxy-automation skill is compact and depends heavily on live Rube output. It would become easier to adopt with additional examples for common Smartproxy tasks, sample prompts for read-only versus mutating workflows, and troubleshooting notes for inactive connections.

Until those are added, users should treat SKILL.md as the operating contract: connect Rube MCP, activate Smartproxy, discover tools first, then execute only against the returned schema.