Skill UI

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 managing Azure File Shares, which function as SMB file shares in the cloud. It allows users to perform core operations including creating, listing, and deleting shares, managing nested directories, uploading, downloading, and copying files, and utilizing advanced features like snapshots and partial range operations. Ideal for cloud-native development and lift-and-shift migrations.

BusyBox is a single, portable binary that implements a vast collection of common Unix utilities (such as ls, grep, sed, etc.). This skill allows users to run standard Unix command-line tools directly within a Windows environment, solving compatibility issues for developers and system administrators who rely on cross-platform scripting. It provides necessary Unix functionality without requiring a full Linux subsystem.

Provides automated calendar event creation guidance and production-ready code for business automation workflows, covering spreadsheet, email, and process optimization scenarios where users ask about calendar event creator patterns.

Orchestrates Cardly operations through Rube MCP and Composio, guiding users to search current tool schemas, connect the Cardly toolkit, and execute workflows via schema-compliant RUBE_MULTI_EXECUTE_TOOL calls with managed sessions and memory.

This meta-skill is designed to guide and execute structured developmental workflows, enabling continuous skill improvement and knowledge transfer. It is applicable when a task requires following a defined developmental process. Users must ensure all necessary inputs, permissions, and success criteria are provided, and must treat the output as a guide, supplementing professional validation.

This skill is designed to execute complex, structured workflows and actions based on a defined overview. It facilitates systematic process completion and adherence to scope. Users must ensure the task precisely matches the skill's scope, and remember that the output is not a substitute for manual validation or expert review.

This skill guides the construction of robust, production-grade backtesting systems for financial trading strategies. It helps users systematically validate performance, avoid common biases (like look-ahead bias), and implement advanced techniques such as walk-forward analysis, ensuring reliable performance estimates before live deployment.

This comprehensive framework allows users to validate and test both crypto and traditional trading strategies against extensive historical market data. It calculates essential performance metrics (Sharpe Ratio, Sortino Ratio, Max Drawdown), simulates trade execution, generates equity curves, and includes advanced parameter grid search optimization tools for robust strategy validation.

This skill provides comprehensive guidance on using LibreOffice Base for full-cycle database management. Users can create ODB databases, define schemas, manage tables, and establish relationships. It supports connecting to various external databases (MySQL, PostgreSQL, etc.), performing complex data operations, and automating professional reports and forms using SQL and Python scripting (UNO). Ideal for building data-driven applications.

Bash Script Helper automatically assists with foundational DevOps bash scripting tasks, guiding users through best practices, pattern explanations, and producing ready-to-use code or configurations while validating outputs.