Skill UI

This Python SDK enables interaction with Azure Blob Storage for unstructured data. It supports uploading, downloading, listing, and managing blobs and containers. Includes authentication, SAS tokens, async operations, and performance tuning for efficient cloud storage workflows.

Python SDK guide for Azure Data Lake Storage Gen2, covering authentication, file system and directory operations, file upload/download, listing paths, ACL management, and async clients for big data analytics workloads.

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.

This toolkit provides comprehensive automation capabilities for Box cloud storage. It allows users to manage the entire document lifecycle, including file uploading and downloading, deep content searching using metadata filters, creating and modifying folders, and managing collaboration permissions. Ideal for integrating Box into automated business workflows, ensuring documents are always accessible and organized.

Detects error propagation and chain failures in agent workflows. Identifies vulnerabilities like single-point breakdowns, unbounded retries, and unsafe data propagation to ensure system stability and safety during multi-step operations.

This toolkit provides comprehensive automated control over CircleCI CI/CD pipelines via Rube MCP. Users can trigger new builds, monitor workflow and job statuses, retrieve detailed job information, download build artifacts, and extract detailed test metadata. It streamlines complex DevOps operations by managing the entire CI/CD lifecycle.

Analyze cryptographic code to identify operations leaking secret data via timing variations. Detects timing attacks and side-channel vulnerabilities in implementations like encryption, signing, and key derivation across multiple programming languages.

This comprehensive workflow guides the entire database lifecycle, from initial architecture design (covering both SQL and NoSQL) to advanced implementation, optimization, and maintenance. It covers crucial stages like schema design, implementing migrations, optimizing query performance, developing robust data pipelines (using tools like Airflow and dbt), and managing data quality and operations. Ideal for engineers building complex, production-grade data systems.

This comprehensive toolkit provides full automation capabilities for Dropbox operations. Users can search for files and folders by content or metadata, upload and download large files, manage folder structures (create, move, delete), and generate secure sharing links. It streamlines collaboration and data transfer workflows, making it essential for automated business processes and cloud file management.

This skill offers a quick reference for using pipe and flow functions within the fp-ts library. It assists developers in chaining functions, composing operations, and building data pipelines in TypeScript. Includes examples for transforming specific values, creating reusable transformation pipelines, and working with fp-ts types like Option and Array. Ideal for functional programming tasks requiring function composition.

This skill enables users to read and edit Google Docs documents using authenticated connectors or reviewed API integrations. It involves identifying document IDs, preparing authorized edits, and verifying changes through read-back operations. Users must follow specific procedures to ensure data integrity and scope compliance. It is suitable for automating document management tasks within enterprise environments where API access is configured.

This comprehensive tool automates nearly every aspect of Google Sheets management. Users can programmatically read, write, update, and append data across multiple ranges. Key functionalities include creating new spreadsheets, managing tabs (renaming, hiding), applying cell formatting, filtering data, performing lookups, and performing 'upsert' operations (update or insert records based on a unique key). Ideal for integrating spreadsheet data into automated workflows.