Skill UI

Azure Data Lake Storage Gen2 SDK for Python enables hierarchical file system management, ACL control, metadata handling, and async transfers for big data analytics workflows hosted in Azure Storage.

Automate Benzinga workflows through the Composio toolkit by using Rube MCP tools; search schemas, verify connections, and run multi-tool executions with managed sessions and memory objects for reliable data operations.

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 guidance for setting up and optimizing BigQuery scheduled queries within GCP, offering best practices, configuration templates, and validation for production-ready data workflows.

Guides binary analysis workflows with assembly patterns, calling conventions, control flow, and data structures to help reverse engineers reconstruct compiled logic and validate findings.

Automates Brightdata operations by guiding MCP users through Composio’s tool discovery, connection checks, and execution steps via Rube, ensuring schema compliance and reusable sessions for reliable workflows.

Automates churn analysis workflows by offering guidance, best practices, and production-ready code for SQL, visualization, statistical work, and BI outputs within data analytics projects.

Automate CircleCI CI/CD workflows via Composio’s CircleCI toolkit over Rube MCP: trigger pipelines, monitor workflows and jobs, fetch artifacts, and review test metadata while adhering to required tool schemas and authentication flows.

This skill provides comprehensive guidance on leveraging d3.js (Data-Driven Documents) to create sophisticated, interactive, and publication-quality data visualizations. It covers core concepts like data binding, implementing various chart types (network graphs, geo-maps, etc.), handling complex transitions, and ensuring responsiveness across modern JavaScript frameworks (React, Vue, Vanilla JS). Learn the standard workflow for scale definition, axis creation, and drawing custom visual elements with fine-grained control.

Builds AutoML pipelines by analyzing user requests, generating code for data preparation, model selection, hyperparameter tuning, validation, and metrics, then documenting artifacts for streamlined automated machine learning workflows.

Generates Python code and workflows for collaborative, content-based, or hybrid recommendation models, handling data prep, training, evaluation, and scalability so Claude can deliver tailored suggestions across domains.

Leverages AI-powered analytics, dashboards, and predictive modeling to guide business decisions, build KPI frameworks, and deliver strategic recommendations across modern BI platforms and data workflows.