Skill UI

Automates TwinMind meeting capture by transcribing audio, diarizing speakers, and generating summaries and action items, ideal for quickly documenting discussions and follow-ups.

Guide to optimizing TwinMind transcription, balancing accuracy and speed through audio preprocessing, scenario-specific model configs, streaming tweaks, and caching to cut redundant work.

Provides a TwinMind reference architecture with layered TypeScript project layout, singleton client wrapper, orchestrated meeting services, error boundaries, health checks, and config management to guide AI meeting integrations.

Provides production-ready TypeScript and Python patterns for TwinMind AI memory and meeting intelligence REST APIs, covering authenticated clients, memory storage/retrieval, meeting context creation, batching, and rate-limit aware retries to standardize integrations.