What problem does it solve? Creating animated ASCII art video requires building a full rendering pipeline from scratch: font rasterization, character grids, audio analysis, effects, shaders, and ffmpeg encoding. This Skill gives an agent the complete architecture and reference code to generate single-file Python renderers that turn any input into colored ASCII video. ## Core Features & Use Cases - Six input modes: video-to-ASCII conversion, audio-reactive visualizers with FFT beat detection, generative procedural animation, hybrid video+audio, timed lyrics/text overlays, and TTS-narrated quote videos via ElevenLabs. - Full effect vocabulary: 21 value field generators, 24 character palettes, 38 composable shaders, 20 blend modes, particle systems, feedback buffers, and masking for layered multi-grid composition. - Production pipeline: adaptive tonemapping, hardware-aware quality profiles, parallel ffmpeg encoding, and per-scene configuration for 1080p 24fps output without a GPU. - Use Case: Give the agent an audio track and ask for a music visualizer; it writes a Python script with beat-reactive particles, section-based scenes, and shader moods, then renders the final MP4. ## Quick Start Ask the agent to create an audio-reactive ASCII music visualizer from your audio file and render it as a 1080p MP4.
