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Use the Rube MCP endpoints to orchestrate Exist workflows: discover current tool schemas, validate connections, and execute multi-step tool chains while tracking sessions and memory state for reliable automation.

This skill provides guidance and patterns for generating structured JSON files that define complex workflow pipelines. It is essential for chaining multiple distinct AI models together, enabling multi-step, automated data processing. Use this when a single task requires a sequence of interconnected AI operations or services.

Guide for automating Fibery operations through Composio’s Rube MCP toolkit, covering connection setup, tool discovery, execution steps, and schema-compliant use of search/multi-execute calls.

This guide provides a comprehensive, multi-step technical process for migrating historical meeting recordings and data into the Fireflies.ai ecosystem. It covers various scenarios, including batch uploads from public URLs, importing authenticated files (S3/GCS), direct file uploads, and tracking progress via webhooks, ensuring a robust and validated transition from competitor platforms.

Automates Fixer operations through Composio's Rube MCP tooling, guiding you to discover current schemas, maintain connections, and execute multi-step workflows safely.

This guide provides a deep dive into migrating existing presentation content (from PowerPoint, Google Slides, Canva, etc.) to the modern, AI-powered format of Gamma. It details a robust, multi-step workflow: content extraction, content cleaning, and batch regeneration using scripting methods. This approach ensures that the core content is preserved while benefiting from Gamma's superior AI formatting capabilities, moving beyond simple file imports and guaranteeing better results than the original source files.

Generates end-to-end tests for web workflows using Playwright, Cypress, or Selenium, automating browser steps and assertions so QA teams can validate registration, login, shopping cart, and other multi-step flows across browsers and devices.

A comprehensive guide to building enterprise-grade AI applications using Firebase Genkit. This skill covers the full development lifecycle, including implementing advanced RAG systems, multi-step tool-calling agents, and complex workflows across Node.js, Python, and Go. It teaches best practices for schema validation (Zod/Pydantic), robust error handling, OpenTelemetry tracing, and deploying reliably to Firebase Functions or Cloud Run.

Automate Gigasheet operations through Composio’s Rube MCP toolkit by always discovering current tool schemas, managing the Gigasheet connection, and executing workflows with RUBE_MULTI_EXECUTE_TOOL. Follow the setup steps, reuse sessions, and honor schema compliance and memory requirements for reliable data tasks.

Automate Godial operations through Composio's Godial toolkit via the Rube MCP workflow, always discovering tools first, ensuring an active connection, and passing schema-compliant arguments through multi-step executions.

Streamline Google Drive operations by discovering and executing Composio toolkits through the Rube MCP interface, ensuring schema compliance, active connections, and reusable sessions before invoking multi-step workflows.

Automate Google Super tasks through Composio’s Rube MCP, guiding discovery of current tool schemas, connection checks, and schema-compliant multi-step executions for reliable workflows.