搜索

PythonReactSEOPDF

Okeysir198 AI Skills

GitHub ↗

浏览 Okeysir198 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

7

收录技能的仓库 Stars 合计

7

仓库 Forks

21

平均每个技能的仓库 Stars

1

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

7 个技能

全部技能

GitHub

livekit-stt-selfhosted

Okeysir198

Build self-hosted speech-to-text APIs using Hugging Face models (Whisper, Wav2Vec2) and create LiveKit voice agent plugins. Use when building STT infrastructure, creating custom LiveKit plugins, deploying self-...

GitHub

livekit-prompt-builder

Okeysir198

Guide for creating effective prompts and instructions for LiveKit voice agents. Use when building conversational AI agents with the LiveKit Agents framework, including (1) Creating new voice agent prompts from...

GitHub

livekit-agent-tools

Okeysir198

Comprehensive guide for building functional tools for LiveKit voice agents using the @function_tool decorator. Use when creating tools for LiveKit agents to enable capabilities like API calls, database queries,...

GitHub

tts-livekit-plugin

Okeysir198

Build self-hosted TTS APIs using HuggingFace models (Parler-TTS, F5-TTS, XTTS-v2) and create LiveKit voice agent plugins with streaming support. Use when creating production-ready text-to-speech systems that ne...

GitHub

livekit-voice-agent

Okeysir198

Guide for building production-ready LiveKit voice AI agents with multi-agent workflows and intelligent handoffs. Use when creating real-time voice agents that need to transfer control between specialized agents...

GitHub

tts-livekit-plugin

Okeysir198

Build and deploy self-hosted Text-to-Speech API using MeloTTS from Hugging Face and create a LiveKit plugin for voice agents. Use this skill when building TTS systems, LiveKit voice agents, or self-hosted speec...

GitHub

livekit-nextjs-frontend

Okeysir198

Build and review production-grade web and mobile frontends using LiveKit with Next.js. Covers real-time video/audio/data communication, WebRTC connections, track management, and best practices for LiveKit React...

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。