AI Agent Skills

Multilingual speech understanding: ASR + emotion recognition + audio event detection. 50+ languages, 15x faster than Whisper, non-autoregressive.

Python hands on tutorial with 50+ Python Application (10 lines of code) By @xiaowuc2

A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.

Data manipulation and transformation for audio signal processing, powered by PyTorch

A library for audio and music analysis, feature extraction.

A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.

[CVPR 2025] MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis

A ComfyUI custom node integration for local multi-engine multi-language Text-to-Speech and Voice Conversion. Supports: RVC, Echo-TTS, Qwen3-TTS, Cozy Voice 3, Step Audio…

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

Audio generation skill — jingles, beds, voiceover, and sound effects. Routes music requests to Suno V5 / Udio / Lyria, speech to MiniMax TTS / FishAudio / ElevenLabs V3,…

Generate real-timestamp subtitle artifacts from final narration audio or merged video with a caption quality gate.

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

Event-driven Automation Framework for Kubernetes

Event-driven application platform for Kubernetes

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.