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deepgram/skills

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本页由 AI 翻译,技术细节请以原文为准。 查看原文

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技能是AI编程工具加载的指令和资源文件夹,帮助你更快地用Deepgram构建。

概览

技能是AI编程工具加载的指令和资源文件夹,帮助你更快地使用Deepgram构建。每个技能都会教你的工具如何使用Deepgram平台的特定部分——从API参考到找到合适的入门应用。 欲了解更多信息,请参阅:- Deepgram 文档 - Deepgram API 参考 - 向 Deepgram AI 咨询 该仓库包含使用 Deepgram 语音转文字、文本转语音、语音代理和音频智能 API 构建的技能。技能不依赖代理——任何 AI 编码工具都能调用的纯粹的 markdown。 Deepgram 提供两款积极维护的行业领先的语音转文字模型系列: - (/v1/listen) — 通用转录,具备丰富的智能功能(日记、摘要、情感、话题、意图)。用于字幕、字幕、批量处理及一般直播。- (/v2/listen, model=flux-general-en) — 带有内置回合检测的对话式STT。用于语音代理和交互助手。

概述(AI 翻译)

技能是AI编程工具加载的指令和资源文件夹,帮助你更快地使用Deepgram构建。每个技能都会教你的工具如何使用Deepgram平台的特定部分——从API参考到找到合适的入门应用。

欲了解更多信息,请查看:

  • Deepgram文档
  • Deepgram API 参考
  • 问Deepgram AI

关于本仓库

该仓库包含使用 Deepgram 语音转文字、文本转语音、语音代理和音频智能 API 构建的技能。技能不依赖代理——任何 AI 编码工具都能调用的纯粹的 markdown。

Deepgram 提供两款积极维护的行业领先的语音转文字模型系列:

  • Nova(/v1/listen)——通用转录,具备丰富的智能功能(日记、摘要、情感、话题、意图)。用于字幕、字幕、批量处理及一般直播。
  • Flux STT (/v2/listen, model=flux-general-en) — 带有内置转向检测的对话STT。用于语音代理和交互助手。详见api技能,了解完整的Nova与Flux STT决策指南。

本页由 AI 翻译,技术细节请以原文为准。

README

以下为原文 README 节选,完整内容请查看原文。

Deepgram Skills

Skills are folders of instructions and resources that AI coding tools load to help you build with Deepgram faster. Each skill teaches your tool how to use a specific part of the Deepgram platform — from API reference to finding the right starter app.

For more information, check out:

About This Repository

This repository contains skills for building with Deepgram’s speech-to-text, text-to-speech, voice agent, and audio intelligence APIs. Skills are agent-agnostic — plain markdown that any AI coding tool can consume.

Deepgram ships two actively maintained, industry-leading speech-to-text model families:

  • Nova (/v1/listen) — general-purpose transcription with a rich intelligence feature set (diarize, summarize, sentiment, topics, intents). Use for captions, subtitles, batch, and general live streaming.
  • Flux STT (/v2/listen, model=flux-general-en) — conversational STT with built-in turn detection. Use for voice agents and interactive assistants. See the api skill for the full Nova vs Flux STT decision guide.

It ships two text-to-speech families on separate endpoints — the voices do not overlap:

  • Aura (/v1/speak) — the broadest voice catalog (English, Spanish, German, Dutch, French, Italian, Japanese) plus compressed and containerized output. Use for one-shot synthesis and non-English voices.
  • Flux TTS (/v2/speak, model=flux-{voice}-{language}) — streaming-first, turn-based synthesis with barge-in and cross-turn voice consistency. Use for voice agents. model is required, and only flux-* voices are accepted. See the api skill for the full Aura vs Flux TTS decision guide.

Some skills are hand-written, others are generated from Deepgram’s OpenAPI and AsyncAPI specs.

Skills

  • ./skills: All Deepgram skills
  • ./template: Skill template for creating new skills
  • ./scripts: Scripts for fetching specs and generating skills

Skills

Skill Description
speech-to-text Start here for transcription: Nova on /v1/listen or Flux STT on /v2/listen, a first request, and where to go next
text-to-speech Start here for synthesis: Aura on /v1/speak or Flux TTS on /v2/speak, a first request, and where to go next
voice-agent Start here for a voice agent: the Voice Agent API over one WebSocket, function calling, telephony wiring, and when to use an orchestrator instead
audio-intelligence Analyze audio, not just transcribe it: summarize, sentiment, topics, intents, and detect_entities as parameters on /v1/listen
在 GitHub 查看完整 README

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