Marketplace
Everything your AI needs, in one place.
Ready-made agents, skills, personas, prompts, templates and tools. Each one is checked before it goes live, works with any model, and installs in a click. Rate what you use so the best rises to the top.
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A service that does a whole job for you - research, coding, support - and reports back.
Step-by-step instructions an AI follows for one kind of task. Install once, reuse everywhere.
A voice and set of rules layered onto any model: tone, audience, do's and don'ts.
A ready-to-use prompt with fill-in-the-blank variables and notes on when it works best.
A complete routing setup - models, rules and settings - in one file you can apply in a minute.
A single function an AI can call: a calculator, a search, a database lookup.
A language model endpoint with its price, speed and quality declared so the router can compare it.
audio-transcriber
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration
faster-whisper
Local speech-to-text using faster-whisper. 4-6x faster than OpenAI Whisper with identical accuracy; GPU acceleration enables ~20x realtime transcription. Supports standard and distilled models with wo
media-transcription
Run, monitor, cancel, and resume the durable media transcription pipeline (media-transcription-pipeline-v2) for raw meeting media on /Volumes/badass-media. Use when the user asks to transcribe a meeti
whisper
OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M par
whisper
OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M par
faster-whisper
Local speech-to-text using faster-whisper. 4-6x faster than OpenAI Whisper with identical accuracy; GPU acceleration enables ~20x realtime transcription. SRT/VTT/TTML/CSV subtitles, speaker diarizatio
telegram-voice-pipeline
End-to-end voice message pipeline for Telegram — download OGG attachment, transcribe with Whisper, generate a text response, convert to MP3 via ElevenLabs TTS, and reply with the audio file.
check-telegram-voice
Check voice message pipeline config — verify Whisper, ElevenLabs/OpenAI TTS keys and dependencies.
setup-telegram-voice
Check if voice message handling is configured — verify Whisper, ElevenLabs/OpenAI TTS keys, and required tools.
transcription
Audio and video transcription using Whisper AI via the transcribe-anything package. Supports local files, YouTube URLs, and microphone input with multiple backends (faster-whisper, openai-whisper, Whi
whisper
OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M par
audio-transcriber
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration
whisper
Transcribe audio to text with OpenAI Whisper. Use when a user asks to transcribe audio files, generate subtitles (SRT/VTT), transcribe podcasts, convert speech to text, translate audio to English, bui
youtube-transcription
Transcribe YouTube videos to text using OpenAI Whisper and yt-dlp. Use when the user wants to get a transcript from a YouTube video, generate subtitles, convert video speech to text, create SRT/VTT ca
voice-transcribe
Transcribe voice/audio to text using Groq Whisper API
audio-transcriber
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration
audio-transcriber
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration
audio-transcriber
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration
audio-transcriber
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration
audio-transcriber
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration
audio-transcriber
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration
audio-transcriber
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration
rappstore-kody-w-rapp-voice-singleton
Local hold-to-talk dictation. Speech recognition runs on-device via whisper.cpp; audio never leaves the machine. Actions: doctor, dictionary, add_term, stats, process.
vlog-auto-edit
AI Agent自动剪辑旅行Vlog的完整工作流。从原始素材到成品视频，系统级只需ffmpeg，其余在Python venv内完成。by nyx研究所 (GitHub @znyupup · B站/小红书 @nyx研究所)
Find
Search or browse by kind. Every card shows who made it, how many people installed it and what they think.
Install
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
Rate and publish
Leave a star rating after you have used it. Made something useful? Publish it - free listings go live immediately.
Prefer the terminal? osr stack apply registry://starter installs the starter template.