Analyze live interview audio with OpenAI Whisper transcription and AI-generated candidate feedback.
npx skills add https://github.com/vitortl/thesolowolfeng --skill wisewhisper
Please help me install this Agent Skill. Skill: WiseWhisper Source: https://github.com/vitortl/thesolowolfeng/tree/main/pai/Skills/WiseWhisper Command: npx skills add https://github.com/vitortl/thesolowolfeng --skill wisewhisper
WiseWhisper provides real-time interview coaching with on-device transcription and AI feedback to help candidates perform better in technical interviews, reducing onboarding friction and activation gap.
Use WiseWhisper to start a practice session: ask it to present a random technical question, record your answer, and review the AI-generated feedback.
High-intent search queries and answers about installing and using this skill.
Real-time transcription for interview practice works by analyzing live audio during mock or real sessions using OpenAI Whisper. WiseWhisper then processes this live transcription to provide immediate AI feedback on your answer quality and communication clarity.
To start a mock interview practice session, ask WiseWhisper to present a random technical question, record your spoken answer, and then review the AI-generated feedback. This guided setup reduces onboarding friction and accelerates your time-to-first transcription.
Yes, you can use Claude and GPT for real-time AI feedback during technical interviews. WiseWhisper uses these models to analyze live transcription and deliver immediate insights on communication clarity and answer quality to help candidates perform better.
WiseWhisper uses Stripe for payments and PostHog for analytics to support its on-device desktop app and backend AI analysis. These dependencies manage the activation gap and growth tracking rather than the real-time transcription and feedback logic itself.
The best way to analyze live transcription for communication clarity is using an on-device desktop app that captures audio and routes it to backend AI analysis. WiseWhisper applies this approach to evaluate answer quality and provide immediate interview feedback.
Using on-device transcription for technical interview practice reduces onboarding friction and the activation gap. WiseWhisper leverages this local capture to feed backend AI analysis, ensuring candidates get immediate feedback to perform better in interviews.
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