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twinmind-performance-tuning

by jeremylongshore

Optimize TwinMind transcription accuracy and processing speed.\nUse when improving transcription quality, reducing latency,\nor tuning model parameters for specific use cases.\nTrigger with phrases like \

Installation

Pick a client and clone the repository into its skills directory.

Installation

Quick info

Author
jeremylongshore
Category
Security
GitHub repo

About this skill

Optimize TwinMind transcription accuracy and processing speed.\nUse when improving transcription quality, reducing latency,\nor tuning model parameters for specific use cases.\nTrigger with phrases like \

How to use

  1. Zainstaluj rozszerzenie Chrome TwinMind i zaloguj się na swoje konto (dostępne plany: Free, Pro za 10 USD/miesiąc, Enterprise). 2. Skonfiguruj klucz API w zmiennych środowiskowych (TWINMIND_API_KEY) — wymagane dla użytkowników Pro i Enterprise z dostępem do API. 3. Zweryfikuj połączenie z TwinMind, wysyłając żądanie do endpointu health check (https://api.twinmind.com/v1/health), aby potwierdzić status usługi. 4. Włącz model transkrypcji Ear-3 i wybierz języki obsługiwane przez Twoje spotkania spośród dostępnych: angielski, hiszpański, koreański, japoński, francuski. 5. Aktywuj skill wyzwalaczem — użyj frazy "twinmind performance tuning" w Claude Code lub kompatybilnym edytorze, aby uruchomić optymalizację parametrów modelu i strategii cachowania. 6. Monitoruj wyniki transkrypcji i dostosuj ustawienia audio quality w zależności od warunków nagrania — skill automatycznie integruje się z GPT-4, Claude lub Gemini do tworzenia podsumowań i listy zadań ze spotkań.

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