Skill UI

This skill guides the setup and management of Databricks resources across development, staging, and production environments. It covers best practices for using isolated workspaces, managing environment-specific secrets, implementing Asset Bundles, and integrating with CI/CD pipelines to ensure consistent and reliable data deployments.

This skill provides comprehensive observability for the Databricks platform. It enables users to monitor job run histories, track cluster utilization and associated costs (DBU), detect slow SQL queries, and audit access logs. Use it for setting up robust monitoring dashboards, ensuring pipeline health, and optimizing resource consumption across the entire data stack.

This comprehensive checklist guides the deployment of Databricks data pipelines and jobs to a production environment. It covers critical stages including pre-deployment security hardening (Service Principals, Unity Catalog), validating infrastructure (cluster types, autoscaling), ensuring code quality (unit/integration tests, Delta Lake best practices), executing controlled deployment, and performing post-deployment health checks and monitoring setup. Ideal for CI/CD pipelines and go-live procedures.

Automates Datadog monitoring workflows via Composio’s Rube MCP, letting you query metrics, search logs, manage monitors and dashboards, and create events or downtimes after connecting to the MCP toolkit and tools list.

Guides using Rube MCP’s Composio toolkit to discover current Datagma tools, verify connections, and execute workflows while adhering to live schemas, session reuse, and required memory parameters.

Automate Datarobot operations via Composio's Rube MCP by discovering tool schemas, managing connections, and executing workflows with RUBE_MULTI_EXECUTE_TOOL while observing schema compliance and session reuse best practices.

This guide provides essential best practices for building reliable, fault-tolerant applications in Go using DBOS durable workflows. It covers architectural patterns for integrating DBOS into existing Go code, defining complex workflows, managing steps, and utilizing queues for robust concurrency control. Essential reading for developers setting up, configuring, or testing mission-critical asynchronous processes.

A comprehensive guide detailing best practices for building reliable, fault-tolerant Python applications utilizing DBOS durable workflows. This resource is essential when integrating DBOS into existing Python codebases, defining complex workflows and steps, managing concurrency via queues, or implementing robust workflow communication patterns.

A comprehensive guide for building reliable, fault-tolerant applications using DBOS durable workflows within a TypeScript environment. It covers best practices for initialization, structuring complex workflows and steps, managing concurrency via queues, and integrating DBOS into existing TypeScript codebases.

This skill guides the architectural definition of complex business domains using Domain-Driven Design (DDD). It helps in defining core subdomains, separating services by bounded contexts, and establishing a unified ubiquitous language. It is essential for decomposing monoliths, structuring microservices, and aligning team ownership with clear domain boundaries.

This skill guides the application of Domain-Driven Design (DDD) tactical patterns, including defining aggregates, modeling value objects, managing repositories, and utilizing domain events. It helps developers translate complex domain rules into clean, robust, and behavior-rich code structures, ensuring invariants are explicitly enforced.

Automate Deadline Funnel operations through Composio’s toolkit using Rube MCP: discover current tool schemas via RUBE_SEARCH_TOOLS, manage the `deadline_funnel` connection, and execute `RUBE_MULTI_EXECUTE_TOOL` workflows with proper sessions, memory payloads, and pagination handling.