Skill UI

This comprehensive guide outlines the end-to-end process of building production-grade ETL data pipelines using Databricks and Delta Lake. It implements the robust Medallion Architecture (Bronze, Silver, Gold) for scalable data management. Techniques covered include Auto Loader for incremental streaming ingestion, MERGE INTO for upsert semantics, data cleansing, and advanced aggregation into analytics-ready layers. Ideal for establishing reliable data pipelines in a data lakehouse environment.

Provides a robust, event-driven reference architecture for building meeting intelligence platforms using Fireflies.ai. This guide details the full production pipeline, covering multi-source meeting ingestion (Zoom, Teams), webhook processing, and subsequent data enrichment into structured action items, analytics reports, and database storage. Ideal for designing complex integrations or advanced meeting analytics systems.

Automate Gleap support and analytics operations with Composio’s Gleap toolkit via Rube MCP, always querying `RUBE_SEARCH_TOOLS`, verifying `RUBE_MANAGE_CONNECTIONS`, and executing schema-safe workflows through `RUBE_MULTI_EXECUTE_TOOL`.

Automates Google Ads analytics via Rube MCP to list linked accounts, validate GA4 dimensions and metrics, and run tailored performance reports for campaigns while always fetching the latest tool schemas first.

This document provides the enterprise reference architecture for deploying Guidewire InsuranceSuite Cloud. It details the integration flow from the Jutro Frontend through the Cloud API Gateway to core modules like PolicyCenter, ClaimCenter, and BillingCenter. It guides users on the overall system structure, data warehousing via DataHub, and analytics using Explore.

This minimal working example demonstrates core API interactions with Instantly.ai v2. It shows how to list active campaigns, check email account health/vitals, and pull detailed campaign analytics (open rate, reply rate). Ideal for developers setting up new integrations or testing API setup.

This guide provides advanced techniques for optimizing API integrations, specifically for handling high-volume data operations and rate limits. It covers implementing robust caching strategies for analytics data, managing lead inputs via controlled batching and concurrency, and utilizing prefetching for efficient pagination. It also demonstrates connection pooling using keep-alive mechanisms to maximize throughput and minimize latency.

A comprehensive reference architecture guide providing the best-practice project layout and implementation structure for building scalable outreach automation platforms using the Instantly API v2. This blueprint covers core modules including API client wrappers, campaign lifecycle management, lead enrichment pipelines, event-driven webhook processing, and analytics synchronization, ensuring a robust and maintainable system.

This skill provides comprehensive methods for managing the entire data lifecycle of LLM observability platforms like Langfuse. Functions include exporting detailed traces and scores, configuring retention policies (e.g., automatic data cleanup), handling GDPR subject requests (access and erasure), and anonymizing Personally Identifiable Information (PII) for secure analytics. Essential for maintaining regulatory compliance in AI applications.

Automates Mailchimp email marketing workflows via Rube MCP, covering campaign creation, scheduling, audience management, subscriber operations, segmentation, and analytics. Use when orchestrating Mailchimp actions through Composio's toolkit, always fetching current schemas with RUBE_SEARCH_TOOLS before kicking off sequences.

This comprehensive guide details production-grade architectural patterns for integrating MaintainX with large enterprise systems, including ERPs, SCADA, and data warehouses. It covers best practices for event-driven synchronization using webhooks and Pub/Sub, implementing bi-directional sync gateways, and establishing scalable analytics data pipelines.

Orchestrate PagerDuty incidents, services, on-call schedules, and analytics through Composio’s toolkit using Rube MCP, with mandatory schema discovery and active connections before each workflow.