Skill UI

This guide provides comprehensive error handling and debugging steps for the OpenEvidence API. It covers common failure points—including authentication issues (401, 403), query validation errors (422), rate limiting (429), and service timeouts (408). Users can learn how to diagnose the root cause of connection failures and refine their clinical queries to maximize data retrieval accuracy.

This skill provides a complete guide to deploying a containerized OpenEvidence clinical evidence integration service using Docker. It establishes a HIPAA-conscious production environment, enabling secure connections to the OpenEvidence API. Users can query clinical evidence, retrieve summarized medical literature, and validate treatment recommendations, all while maintaining audit logging and data-at-rest encryption compliance. Includes setup for health checks and rolling updates.

This guide provides comprehensive steps to install and authenticate the OpenEvidence SDK/API. It covers setting up environment variables, installing required packages (supporting both Node.js and Python), and verifying the connection using sample code. This is essential for developers integrating OpenEvidence's medical AI capabilities for clinical decision support and evidence-based queries into a new application.

This guide provides comprehensive strategies for optimizing API interactions with OpenEvidence. It covers implementing robust caching mechanisms (TTL management), efficient batch retrieval of citations, connection pooling, and handling rate limits. By applying these techniques, users can significantly reduce query latency, ensuring smooth system performance even when handling complex multi-condition queries or large citation batches.

Automate Opengraph IO tasks through Composio’s tooling over Rube MCP, always starting with RUBE_SEARCH_TOOLS to fetch current schemas, then ensure active connections before executing workflows.

Automates Openperplex operations by orchestrating Rube MCP calls via Composio, covering discovery, connection validation, tool execution, and schema-aware workflows.

Automates Openrouter workflows using Rube MCP’s Composio toolkit, walking through tool discovery, connection checks, and schema-compliant execution for reliable orchestration.

A comprehensive guide detailing common real-world mistakes and pitfalls when integrating with the OpenRouter API. Covers critical best practices for robust LLM deployment, including correct model ID formatting, cost control via max_tokens, secure API key management, handling rate limits, and optimizing client connection reuse. Essential for developers building multi-provider AI applications.

Automates Openweather API tasks through Rube MCP in Composio, guiding you to search tools first, manage connections, reuse sessions, and respect schemas so every multi-tool execution stays current and reliable.

Guides the user through configuring and tuning database connection pools across languages, from selecting pool sizes to setting timeouts and monitoring usage to boost application performance.

Automate Optimoroute workflows through Composio’s Rube MCP by always discovering tool schemas before executing `RUBE_MANAGE_CONNECTIONS`, `RUBE_MULTI_EXECUTE_TOOL`, or other toolkit calls, ensuring session reuse and schema compliance.

Automates Microsoft Outlook tasks via Composio’s Rube MCP toolkit, covering email search/filter, calendars, contacts, folders, and attachments while ensuring schema discovery and OAuth connections.