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Found 1,702 Skills
Use when Alibaba Cloud Model Studio video editing models are needed for style transfer, keyframe-controlled editing, lip sync, retalk, or animation remix workflows.
Use when user wants to generate music, songs, or audio tracks. Triggers on phrases like "generate a song", "make music", "create a track", "写首歌", "生成音乐", "来一首歌", "帮我做首歌", "纯音乐", "cover", "唱一首", or any request involving music creation, song writing, lyrics generation, or audio production. Also triggers when user provides lyrics and wants them turned into a song, or describes a mood/scene and wants background music. Even casual requests like "给我来点音乐" or "I want a chill beat" should trigger this skill. Do NOT use for music playback of existing files, music theory questions, or music recommendation without generation.
Brief and plan Amazon product photography. Builds the photographer brief for the main image and gallery, specifies lighting, angles, props, and styling per shot, and plans the lifestyle and infographic source shots. Use when a user asks about product photography, a photo shoot, photographer brief, lighting setup, studio shots, or how to get photos taken for a listing. Trigger phrases: "product photography", "photo shoot", "photographer brief", "lighting setup", "studio shots", "photograph my product". Works with zero tools. For image strategy and gallery order, pair with amz-listing-images.
Expert skill for implementing speech-to-text with Faster Whisper. Covers audio processing, transcription optimization, privacy protection, and secure handling of voice data for JARVIS voice assistant.
Use this skill for AI music generation. Triggers include: "generate music", "create a song", "make music", "compose", "create a beat", "generate audio", "make a soundtrack", "create a jingle", "instrumental music", "background music", "lo-fi beats", "electronic music" Supports vocals (Suno/Udio) and instrumental-only (Google Lyria).
Transcribe audio and video files to text using OpenAI Whisper. Use when: converting podcasts to blog posts; creating video subtitles; extracting quotes from interviews; repurposing video content to text; building searchable audio archives
Use when reranking search candidates is needed with Alibaba Cloud Model Studio rerank models, including hybrid retrieval, top-k refinement, and multilingual relevance sorting.
Convert text to natural speech using Sarvam AI's Bulbul v3 model. Handles audio generation, voiceovers, and voice interfaces for 11 Indian languages with 30+ voices. Supports REST, HTTP streaming, WebSocket, and pronunciation dictionaries. Use when generating spoken audio from text.
Implement speech-to-text voice input in Blazor applications using Syncfusion SpeechToText component. ALWAYS use this when users need voice input, speech recognition, audio transcription, or implementing the SpeechToText component in Blazor. Trigger for Syncfusion.Blazor.Inputs, microphone input, voice-to-text conversion, language support, transcript binding, listening states, error handling, browser speech API, or any speech recognition requirements.
ASR (Automatic Speech Recognition) — enhanced speech-to-text built on Doubao large model, with audio preprocessing, denoising, and extended analysis capabilities. Async API. Choose this skill when: - Input is a video file (mp4/mov/mkv) — auto-extracts audio track - Audio needs denoising before recognition - File exceeds 512MB or 5 hours (no size limit) - Audio source is a TOS internal path (tos://bucket/key) - Need structured JSON output with timestamped utterances and metadata - Need speaker diarization, emotion/gender detection, speech rate, or sensitive word filtering Supports 99 languages, multiple formats (wav/mp3/m4a/aac/flac/ogg/mp4/mov/mkv), and auto language detection.
Minimal multimodal embedding smoke test for Model Studio VL embedding models.
Use when implementing speech-to-text, audio transcription, real-time streaming STT, audio intelligence features, or voice AI using AssemblyAI APIs or SDKs. Use when user mentions AssemblyAI, voice agents, transcription, speaker diarization, PII redaction of audio, LLM Gateway for audio understanding, or applying LLMs to transcripts. Also use when building voice agents with LiveKit or Pipecat that need speech-to-text, or when the user is working with any audio/video processing pipeline that could benefit from transcription, even if they don't mention AssemblyAI by name.