Skill UI

A comprehensive guide to configuring Fireflies.ai's Enterprise Role-Based Access Control (RBAC). Learn how to manage workspace roles (Admin, Member, Guest), organize transcripts into specific channels, control granular privacy levels, and manage external sharing via detailed API instructions. Essential for large organizations managing sensitive meeting data.

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.

A comprehensive guide to setting up TwinMind Enterprise for large-scale corporate environments. This includes configuring on-premise deployment, integrating custom AI models (GPT-4, Claude, Gemini), and enabling Single Sign-On (SSO) using Okta. It is essential for implementing strict Role-Based Access Control (RBAC) and managing team-wide meeting intelligence and transcript sharing in a secure, enterprise setting.

A two-layer memory architecture designed for managing corporate board meeting decisions. It separates raw, unfiltered transcripts (Layer 1) from founder-approved, canonical decisions and action items (Layer 2). This system ensures historical accuracy, tracks overdue tasks via commands like /cs:review, and actively detects topic contradictions and conflicts to maintain governance integrity.

Customer research expert that synthesizes qualitative and quantitative signal. Analyzes transcripts, surveys, tickets, and online reviews to reveal pains, triggers, jobs-to-be-done, and customer language. Mines public sources such as Reddit and G2, and designs primary interviews and surveys to discover customer sentiment and market fit.

Logs a founder-approved boardroom decision into durable company memory. Stores structured decision records with success and kill criteria, preserves dissent verbatim, separates raw transcripts from approved decisions, and schedules a 90-day review checkpoint.

This meta-skill converts messy meeting inputs—such as transcripts, rough notes, or recordings—into highly structured, actionable outputs. It automatically extracts key decisions, assigns owners, generates follow-up tasks, and creates drafts for popular collaboration platforms like GitHub, Trello, or Notion, ensuring continuity from discussion to execution.

This skill synthesizes raw user interview transcripts into structured research findings. It identifies core themes, pain points, workflow insights, and actionable product implications. Use this when analyzing qualitative research notes to derive evidence-based product recommendations and next steps for development teams.

This skill analyzes raw user research data—including transcripts, survey results, and feedback—and synthesizes it into a structured, actionable report. It identifies key themes, quantifies prevalence, pinpoints critical pain points, prioritizes feature requests, and provides strategic, evidence-backed recommendations for product improvement and development.

A writing skill for crafting WeChat public account long-form articles in the Khazix voice. Use it to turn briefs, notes, news links, PDFs, or voice transcripts into engaging, human, and reflective longreads.