Skill UI

Automates Google Sheets workflows via Rube MCP/Composio, covering read/write data, managing tabs, applying formatting, filtering rows, and upserting records. Follow the guided sequences once MCP and Google connections are active to programmatically orchestrate spreadsheets.

This utility automatically collects comprehensive diagnostic data for the Granola application, including system specifications, audio configurations, network connectivity tests, and application metadata. It packages all findings into a single ZIP file for support teams. Use this when preparing a detailed support ticket or troubleshooting complex, persistent issues. The process is designed to collect diagnostic context without exposing sensitive meeting content, transcripts, or private API keys.

This skill provides comprehensive guidance on establishing secure, high-performance connectivity between on-premises data centers and major public cloud providers (AWS, Azure, GCP). It covers various connection options, including Site-to-Site VPN, AWS Direct Connect, Azure ExpressRoute, and GCP Cloud Interconnect. Use this skill to design and implement complex hybrid network patterns (e.g., Hub-and-Spoke, Multi-Cloud), ensuring high availability, proper routing (BGP), and adherence to security best practices.

A comprehensive utility designed to collect all necessary diagnostic evidence for troubleshooting Ideogram API interactions. It gathers environment details (Node, Python, OS), performs API connectivity tests, captures network information, and packages the results into a redacted tarball suitable for attaching to technical support tickets, ensuring all sensitive data is masked.

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.

Automates Ipdata co workflows through Composio’s toolkit via Rube MCP by discovering live tool schemas first, managing toolkit connections, executing schema-compliant calls with session reuse and memory placeholders, and handling pagination.

Configure automated Continuous Integration and Continuous Deployment (CI/CD) pipelines for Juicebox AI data analysis integrations. This setup utilizes GitHub Actions to run comprehensive unit tests (with mocked datasets) and integration tests (connecting to live APIs) on every PR and merge to main. It ensures that data upload logic, analysis execution, and result parsing workflows are robust and reliable before deployment.

This bundle collects comprehensive diagnostic evidence from the Juicebox platform. It gathers API connectivity status, dataset health reports, analysis quota usage, and rate limit information into a single archive. Use it to systematically troubleshoot complex issues such as failed dataset uploads, stalled AI analysis runs, API authentication failures, or quota exhaustion.

This skill provides a comprehensive guide and implementation for deploying a production-ready, containerized integration service using Docker. It connects to the Juicebox API to manage datasets, execute advanced AI-powered analyses, and retrieve structured business insights. The service includes health check mechanisms and supports zero-downtime rolling updates, ensuring reliable real-time data processing and analysis.

This skill provides the framework for connecting to and handling Juicebox webhooks and real-time events. It allows developers to build automated pipelines that react instantly to key events—such as analysis completion, dataset updates, and export readiness—without constantly polling the API. Implementation includes signature verification and robust event routing logic for reliable data processing.

Automate Klipfolio workflows via Composio’s Rube MCP toolkit by discovering current tool schemas, ensuring active Klipfolio connections, and executing schema-compliant calls for dashboards or data tasks.

This skill provides comprehensive patterns for integrating external applications with the Lindy AI platform. It covers three primary channels: Webhook triggers for receiving inbound data, HTTP actions for making outbound API calls, and executing custom Python/JavaScript code (Run Code). Use this when building complex, multi-step automation workflows or connecting internal systems to Lindy agents.