Loading...
Loading...
Found 58 Skills
Use when processing audio for Xiaohongshu content, editing voiceovers, improving sound quality, creating podcasts, or producing audio-based posts
基于 FFmpeg 的音频处理技能，提供最实用的日常音频处理命令
Interacting with Mediabunny
Multimedia handling with the Mediabunny library
Polishes raw Suno audio by processing per-stem WAVs (vocals, backing_vocals, drums, bass, guitar, keyboard, strings, brass, woodwinds, percussion, synth, other) with targeted cleanup, EQ, and compression, then remixing into a polished stereo WAV ready for mastering. Use after audio import and before mastering.
Generate AI music with Producer via AceDataCloud API. Use when creating songs, generating lyrics, extending tracks, creating covers, swapping vocals/instrumentals, replacing song sections, or uploading reference audio. Supports custom lyrics, instrumental-only mode, and multiple creative actions.
音频处理，涵盖音频处理和增强、内容理解等能力。包含能力：separate-voice, probe-audio-metadata。当用户需要使用 audio 域的 MediaKit CLI 能力时触发。
Music generation queueing, retrieval, and completion endpoints via Venice.ai. Suited for jingles, background loops, and prototype scoring.
MediaKit is a professional toolset for audio-visual and image processing, covering workflows such as video editing and synthesis, audio processing, video understanding and enhancement, image processing and content understanding. When users clearly propose goals like editing, splicing, cropping, transitions, filters, camera movements, audio mixing, subtitle extraction, speech-to-subtitle, audio-visual processing, image processing, video analysis or image quality enhancement, load this Skill first, then select audio, editing, image or video according to the target object and goal. It does not provide explanations of specific capability parameters.
Master the essential audio post-production techniques—normalization, compression, EQ, and noise reduction—using the correct processing order to achieve professional-quality audio. Use when: Editing podcast episodes or video soundtracks; Cleaning up recorded voiceovers; Improving audio quality for marketing content; Preparing audio files for distribution; Troubleshooting common audio issues
Use when asked to normalize audio volume, match loudness, or apply peak/RMS normalization to audio files.
Transcribe audio files to text using OpenAI Whisper