Skill UI

This skill provides comprehensive scripts and workflows to automatically identify and remove unused AWS resources across multiple services (EBS, S3, EC2, EIPs). By automating the cleanup of orphaned volumes, old snapshots, and stale data, users can eliminate cloud waste, significantly optimizing their AWS expenditure and ensuring a cost-efficient infrastructure.

The official management plane SDK for provisioning and managing Azure Durable Task Scheduler resources within Azure Resource Manager (ARM). This library allows developers to programmatically create, update, and delete schedulers (supporting both Dedicated and Consumption SKUs) and associated task hubs using .NET. It is essential for managing the lifecycle of durable orchestration workflows in the cloud.

This skill provides the Azure Resource Manager SDK for .NET, enabling developers to programmatically manage PostgreSQL Flexible Server deployments on Azure. It covers core cloud automation workflows such as creating the server, setting up databases, configuring firewall rules, and updating server parameters using C# code. Ideal for cloud infrastructure management and CI/CD pipelines.

This SDK provides a comprehensive Python interface for interacting with Azure Blob Storage, Microsoft's scalable object storage service. It enables users to perform core object storage operations, including uploading, downloading, listing, deleting blobs, managing containers, and setting custom metadata. The library supports both synchronous and asynchronous workflows, making it ideal for building robust data pipelines, data lakes, or cloud-native applications that require reliable, scalable file storage.

This SDK provides comprehensive Python support for Azure Data Lake Storage Gen2. It enables developers to interact with hierarchical file systems, performing essential big data operations such as creating, listing, uploading, downloading, and managing metadata for files and directories. Ideal for building data analytics pipelines and cloud-based data processing workflows.

Automates Big Data Cloud operations through Composio’s toolkit by routing discovery, connection checks, and multi-tool execution via Rube MCP commands so you always work with current schemas before running workflows.

Automates Cloud Run service configuration within GCP, providing step-by-step guidance, best practices, ready-to-deploy configs, and validation for compute, storage, BigQuery, and Vertex AI workflows.

Use Composio’s Rube MCP interface to orchestrate Cloudcart operations: always search for current tool schemas, verify the Cloudcart connection, and execute schema-compliant workflows for reliable automation.

Automates Cloudflare API operations through Composio’s toolkit via Rube MCP, guiding users to discover current tool schemas, confirm active connections, and execute schema-compliant workflows for managing edge resources reliably.

Automates Cloudflare operations by driving Rube MCP (Composio) toolkits; always discover the current tool schema via RUBE_SEARCH_TOOLS before checking connections and executing workflows.

Automate Cloudinary media workflows—folder creation, upload preset configuration, asset lookup, transformation generation, usage monitoring, and webhook setup—via natural-language commands routed through the Rube MCP server.

Automates Cloudlayer operations through Composio’s Rube MCP toolkit with search-driven tool discovery, ensuring active connections, schema compliance, and session reuse before executing multi-tool workflows.