Skill UI

Configure a comprehensive local development environment for integrating the TwinMind API. This guide walks you through setting up a project structure, configuring environment variables, and building a reusable client class using TypeScript and Axios. It is ideal for developers building applications that require local testing of transcription, summary generation, or meeting automation workflows.

This guide assists in migrating meeting AI workflows from competing tools (such as Otter.ai, Fireflies) to TwinMind. It provides a deep dive into setting up the enterprise environment, covering prerequisites, API configuration, and utilizing advanced AI models (GPT-4, Claude, Gemini) for robust transcription and intelligent summarization. Ideal for managing large-scale meeting intelligence operations.

Provides comprehensive observability for the TwinMind AI meeting system. This skill allows users to monitor critical performance metrics, including transcription quality (using Ear-3 model), meeting coverage, action item extraction accuracy, and memory vault health. It is essential for implementing robust, enterprise-grade AI workflows and managing the operational status of advanced meeting AI applications.

This skill optimizes the performance of TwinMind's meeting AI operations. It fine-tunes transcription accuracy and speed using the advanced Ear-3 model, managing audio quality, and implementing caching strategies. Ideal for developers or system administrators needing to integrate, troubleshoot, or optimize high-volume meeting transcription workflows.

A comprehensive checklist designed to ensure TwinMind integrations are deployed securely, stably, and compliantly in a production environment. It covers critical best practices across multiple domains, including authentication, data encryption (PII, GDPR), robust infrastructure setup (auto-scaling, load balancing), advanced monitoring (metrics, tracing, alerting), and full CI/CD deployment workflows. Use this when preparing for go-live or conducting production audits.

Automates Twitter/X workflows via Rube MCP’s Composio toolkit, handling posts, searches, user lookups, bookmarks, lists, and interactions after establishing the managed connection.

Automates Twocaptcha tasks through Composio by querying Rube MCP tool schemas, verifying toolkit connections, and executing multi-step workflows with schema-compliant arguments.

Guide to automating Typefully workflows via Rube MCP and Composio toolkits, covering prerequisites, discovery, execution, and pitfall checks for reliable social media automation.

Guides automating U301 operations via Composio’s Rube MCP workflows, covering tool discovery, connection checks, schema compliance, and execution patterns for reliable automation.

Automates Unione operations through Composio's toolkit using Rube MCP workflows, ensuring tool discovery, connection validation, and schema-compliant execution steps before running any automation.

Automate Updown IO operations via the Rube MCP-powered Composio toolkit by searching current schemas, managing Updown IO connections, and executing tools through RUBE_MULTI_EXECUTE_TOOL with schema-compliant arguments before running workflows.

Automates Uptimerobot operations through Composio’s Rube MCP stack by always discovering current tool schemas, verifying active connections, reusing sessions, and running schema-compliant multi-step workflows.