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Found 89 Skills
Use when transcribing non-realtime speech with Alibaba Cloud Model Studio Qwen ASR models (`qwen3-asr-flash`, `qwen-audio-asr`, `qwen3-asr-flash-filetrans`). Use when converting recorded audio files to text, generating transcripts with timestamps, or documenting DashScope/OpenAI-compatible ASR request and response fields.
Transcribe video files directly into timed transcripts and subtitle-ready artifacts using hosted Whisper video-to-text. Use this when the input is a video and the goal is speech extraction, caption generation, or edit-prep timing.
Transcribe audio and video files using the Deepgram API. This skill should be used when the user requests transcription of audio files (mp3, wav, m4a, aac) or video files (mp4, mov, avi, etc.). Handles large video files by extracting audio first to reduce upload size and processing time.
Transcribe audio files using Qwen ASR. Use when the user sends voice messages and wants them converted to text.
Find working Deepgram integration examples with third-party platforms and frameworks. Use whenever someone wants to integrate Deepgram with Twilio, LiveKit, LangChain, Vercel AI SDK, Discord, Vonage, Pipecat, Expo, FastAPI, Cloudflare Workers, Slack, Telegram, LlamaIndex, Zoom, Next.js, Nuxt, Django, SvelteKit, NestJS, Spring Boot, CrewAI, Riverside, SignalWire, and more. Examples are full runnable integration demos, not minimal feature snippets.
Transcribe non-realtime speech with Alibaba Cloud Model Studio Qwen ASR models (`qwen3-asr-flash`, `qwen-audio-asr`, `qwen3-asr-flash-filetrans`). Use when converting recorded audio files to text, generating transcripts with timestamps, or documenting DashScope/OpenAI-compatible ASR request and response fields.
Install and configure Deepgram SDK/CLI authentication. Use when setting up a new Deepgram integration, configuring API keys, or initializing Deepgram in your project. Trigger with phrases like "install deepgram", "setup deepgram", "deepgram auth", "configure deepgram API key".
Architecting real-time Voice AI agents.
Fast ASR CLI tool for transcribing audio/video files. Use when user wants to transcribe audio/video, generate subtitles (VTT), convert speech to text with timestamps (JSON), or optimize transcription for low memory.
Automatic Speech Recognition (ASR). Uses Volcano Engine BigModel ASR for speech recognition, with two available modes: Express Edition (≤2h/100MB, synchronous fast response) and Standard Edition (≤5h, asynchronous recognition). It supports Feishu voice messages, local audio files and audio URLs. Use this skill when you receive voice messages or audio attachments (.ogg/.mp3/.wav).
Deepgram integration. Manage Projects. Use when the user wants to interact with Deepgram data.
Install and configure the official Gladia SDKs (@gladiaio/sdk for JS/TS, gladiaio-sdk for Python). Use when the user asks about SDK setup, client initialization, API key configuration, choosing between JS and Python, browser usage, retry/timeout settings, error handling, or SDK vs raw API decisions. The SDK is the recommended default for all Gladia integrations.