Skill UI

Automates Azure ML Deployer workflows by offering best-practice guidance, code/config generation, and validation for serving, MLOps pipelines, monitoring, and production optimization.

Automates Azure ML Deployer workflows by offering best-practice guidance, code/config generation, and validation for serving, MLOps pipelines, monitoring, and production optimization.

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 the management plane interface for provisioning and managing Azure SQL resources (like servers, databases, elastic pools, and firewall rules) within the Azure Resource Manager framework. Built for .NET developers, it allows users to programmatically handle infrastructure setup and configuration, making it ideal for DevOps automation and infrastructure-as-code workflows.

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 Bunnycdn operations through Composio's Bunnycdn toolkit via Rube MCP, guiding tool discovery, connection handling, and execution workflows while enforcing schema compliance and session reuse.

Automates Byteforms tasks through Composio's toolkit via Rube MCP, enforcing tool discovery, connection checks, and schema compliance before executing multi-tool workflows.

This comprehensive workflow automates the creation of C4 architectural documentation for any codebase. It utilizes a bottom-up analysis approach, starting by analyzing code details (Code Level), synthesizing them into logical components, mapping containers, and finally establishing the high-level system context. Ideal for documenting complex, existing systems and ensuring comprehensive technical knowledge transfer.

An expert tool for generating comprehensive C4 Code-level documentation. It analyzes existing code directories to automatically extract and document critical architectural details, including function signatures, class definitions, method dependencies, and internal data flows. It supports generating various Mermaid diagrams (classDiagram, flowchart) to visualize complex system components, ensuring accurate and maintainable technical documentation.