AI Agent Skills

Learn by experimenting on state-of-the-art machine learning models and algorithms with Jupyter Notebooks.

Audio-reactive visual created with ThreeJS

CometChat Calls SDK v5 integration for native Android (V5 stable, Java + Kotlin Views). Covers SDK setup (Cloudsmith Maven, CallAppSettings, init), the dual-SDK ringing…

Control Spotify playback — play, pause, skip, search, and queue tracks. Use when: user asks to play music, search for songs, control playback, or manage Spotify queue. N…

Scores a riso film or reworks its score. Designs the cue list from the film's FILM.md events, builds a deterministic renderAudio() from the sound kit in studies/sound.ht…

MARCELO: an AI powered bot to automate the editing and thumbnail creation for your Youtube clips channel

Implement a programmatic audio fade — a sleep timer, an alarm ramp, a duck — on a gain line of its own instead of the user's volume, and restore that gain from the playe…

Hold Android audio focus once at app level when several player instances are alive at the same time — dual-player crossfade, precached players — and keep focus-driven du…

Use when the user wants to turn a raw talking-head / screen-share recording into a finished, edited, annotated video plus a full content package. Removes silences, flags…

Use when the user wants to transcribe a video or audio file to text with word-level timestamps — spins up a self-contained local Whisper (whisper.cpp) Docker service bun…

Tools for ASR Corpus Generation from Online Video

Interact with the browser using the Freedrum sensors in JavaScript

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Reduces background noise in a single audio file using FFmpeg afftdn. Use when the user wants audio denoise, noise reduction, hiss removal, room noise cleanup, or SFX/voi…

Applies fade-in and fade-out at the start and end of a single audio file using FFmpeg. Use when the user wants audio fade, fade in/out, smooth attack/release, crossfade…

Normalizes a single audio file to consistent LUFS loudness with true-peak limiting using FFmpeg. Use when the user wants loudness normalization, volume matching, unified…