PromptShop

Proofly Automation

Automate Proofly document proofing workflows via Composio's Rube MCP.

Install

npx promptshop add proofly-automation

Details

What This Skill Does

This skill automates Proofly operations using the Composio Proofly toolkit via Rube MCP. It allows users to streamline Proofly workflows by discovering available tools, managing connections, and executing tasks. This is useful for anyone needing to automate Proofly tasks.

When to Use

Automate document proofing workflows. Check Proofly connection status. Discover available Proofly tools. Execute specific Proofly tasks. Integrate Proofly with other systems. Manage Proofly connections.

Key Features

Uses Rube MCP to automate Proofly. Discovers available tools via RUBE_SEARCH_TOOLS. Manages connections via RUBE_MANAGE_CONNECTIONS. Executes tools via RUBE_MULTI_EXECUTE_TOOL. Provides toolkit documentation link. Requires active Proofly connection.

Manual Installation

Manual installationView Full Skill ContentThe complete markdown content that gets installedProofly Automation via Rube MCP

Automate Proofly operations through Composio's Proofly toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/proofly

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active Proofly connection via RUBE_MANAGE_CONNECTIONS with toolkit proofly Always call RUBE_SEARCH_TOOLS first to get current tool schemas

Setup

Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds Call RUBE_MANAGE_CONNECTIONS with toolkit proofly If connection is not ACTIVE, follow the returned auth link to complete setup Confirm connection status shows ACTIVE before running any workflows

Tool Discovery

Always discover available tools before executing workflows:

RUBE_SEARCH_TOOLS queries: [{use_case: "Proofly operations", known_fields: ""}] session: {generate_id: true}

This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.

Core Workflow Pattern

Step 1: Discover Available Tools

RUBE_SEARCH_TOOLS queries: [{use_case: "your specific Proofly task"}] session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS toolkits: ["proofly"] session_id: "your_session_id"

Step 3: Execute Tools

RUBE_MULTI_EXECUTE_TOOL tools: [{ tool_slug: "TOOL_SLUG_FROM_SEARCH", arguments: {/ schema-compliant args from search results /} }] memory: {} session_id: "your_session_id"

Known Pitfalls

Always search first: Tool schemas change. Never hardcode tool slugs or arguments without calling RUBE_SEARCH_TOOLS Check connection: Verify RUBE_MANAGE_CONNECTIONS shows ACTIVE status before executing tools Schema compliance: Use exact field names and types from the search results Memory parameter: Always include memory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty ({}) Session reuse: Reuse session IDs within a workflow. Generate new ones for new workflows Pagination: Check responses for pagination tokens and continue fetching until complete

Quick Reference

OperationApproach
Find toolsRUBE_SEARCH_TOOLS with Proofly-specific use case
ConnectRUBE_MANAGE_CONNECTIONS with toolkit proofly
ExecuteRUBE_MULTI_EXECUTE_TOOL with discovered tool slugs
Bulk opsRUBE_REMOTE_WORKBENCH with run_composio_tool()
Full schemaRUBE_GET_TOOL_SCHEMAS for tools with schemaRef

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