Skill UI

This comprehensive guide outlines best practices for securing Granola meeting data. It covers critical compliance standards, including SOC 2 and GDPR, and details technical controls such as AES-256 encryption, TLS 1.3 transmission, and robust configuration of SSO and data retention policies for enterprise use.

Build sophisticated, event-driven automations using Granola's data triggers via Zapier webhooks. This guide details the event model, payload structure, and advanced filtering patterns. Implement custom handlers in JavaScript or Python to process meeting data, route based on attendees, or automatically update external systems like CRMs and task managers.

This module provides a compliance-grade, tamper-evident logging solution for tracking all Kling AI operations. It records task submissions, status changes, and credential usage into structured, hashed logs. Use this when meeting regulatory compliance requirements or preparing for internal/external security audits.

Automated assistance for meeting scheduler helper tasks in business automation, offering guided workflows, production-ready snippets, and validation for scheduling patterns involving emails and spreadsheets.

Automate RingCentral calls, messages, meetings, and unified communications with Composio’s Rube MCP toolkit by discovering current tool schemas, executing multi-step workflows, validating inputs, handling pagination, and maintaining active connections before each run.

Configure GDPR-compliant data handling, PII scrubbing, and data retention policies within Sentry. This skill provides detailed instructions on implementing client-side `beforeSend` hooks and server-side scrubbing rules to securely redact sensitive data (passwords, emails, IP addresses, CC numbers). Essential for achieving compliance with regulations like GDPR, HIPAA, and meeting SOC 2 audit controls.

This expert skill specializes in generating comprehensive daily standup notes for modern remote-first teams. It analyzes multiple data sources—including Jira tickets, Git commit history, Obsidian notes, and calendar events—to automatically extract accomplishments and track progress. It supports asynchronous communication patterns, ensuring continuous team visibility and efficient coordination without mandatory synchronous meetings.

This skill provides a comprehensive workflow for integrating TwinMind meeting transcription services into continuous integration/continuous deployment (CI/CD) pipelines. It automates the processes of meeting documentation, real-time transcription (using Ear-3), and structured action item extraction using advanced AI models like GPT-4 and Claude. Use this when setting up automated meeting intelligence operations or managing enterprise-level transcription workflows via API.

This comprehensive workflow automates the entire meeting documentation process. It handles live or recorded audio input, performing accurate transcription with speaker diarization. Subsequently, it leverages advanced AI models to generate detailed summaries, extract key action items, draft follow-up emails, and create structured meeting minutes, significantly enhancing organizational knowledge retention and operational efficiency.

This secondary workflow automates post-meeting follow-up processes. It intelligently extracts action items, inferring priority and assignees, and synchronizes these tasks to external project management tools (e.g., Asana, Jira, Linear). It also generates and sends follow-up emails, creating a complete, automated task lifecycle management system.

This skill is designed to help users optimize the operational costs of the TwinMind AI platform. It provides detailed usage monitoring and guidance for selecting the most appropriate subscription tier (Free, Pro, or Enterprise). Users can manage advanced features such as high-accuracy transcription (Ear-3) and AI summarization across multiple models (GPT-4, Claude, Gemini), ensuring efficient resource utilization and cost control for large-scale meeting AI operations.

This skill guides the implementation and management of meeting data within the TwinMind platform, ensuring adherence to GDPR compliance. It covers secure transcript storage, memory vault management, data export protocols, and deletion policies. Ideal for developers integrating complex meeting AI operations or managing enterprise-level data governance.