/prismer-ascii-video

name: prismer-ascii-video
scope: common
category: creative
description: "ASCII video: convert video/audio to colored ASCII MP4/GIF."
version: 1.0.0
author: SHL0MS, Hermes Agent
license: MIT
platforms: [ linux, macos, windows ]
metadata:
  nativeReplaces: [ ascii-video ]
  hermes:
    tags: [ ASCII, Video, FFmpeg, Terminal-Art ]
    related_skills: []
  requiresExplicitGrant: true

ASCII Video Production Pipeline

When to use

Use when users request: ASCII video, text art video, terminal-style video, character art animation, retro text visualization, audio visualizer in ASCII, converting video to ASCII art, matrix-style effects, or any animated ASCII output.

What's inside

Production pipeline for ASCII art video — any format. Converts video/audio/images/generative input into colored ASCII character video output (MP4, GIF, image sequence). Covers: video-to-ASCII conversion, audio-reactive music visualizers, generative ASCII art animations, hybrid video+audio reactive, text/lyrics overlays, real-time terminal rendering.

Creative Standard

This is visual art. ASCII characters are the medium; cinema is the standard.

**Before writing a single line of code**, articulate the creative concept. What is the mood? What visual story does this tell? What makes THIS project different from every other ASCII video? The user's prompt is a starting point — interpret it with creative ambition, not literal transcription.

**Iterate against rendered evidence.** Inspect the first render and revise before delivery. If something looks generic, flat, or like "AI-generated ASCII art," it is wrong — rethink the creative concept before shipping.

**Go beyond the reference vocabulary.** The effect catalogs, shader presets, and palette libraries in the references are a starting vocabulary. For every project, combine, modify, and invent new patterns. The catalog is a palette of paints — you write the painting.

**Be proactively creative.** Extend the skill's vocabulary when the project calls for it. If the references don't have what the vision demands, build it. Include at least one visual moment the user didn't ask for but will appreciate — a transition, an effect, a color choice that elevates the whole piece.

**Cohesive aesthetic and technical correctness are both required.** All scenes in a video must feel connected by a unifying visual language — shared color temperature, related character palettes, consistent motion vocabulary. A technically correct video where every scene uses a random different effect is an aesthetic failure.

**Dense, layered, considered.** Every frame should reward viewing. Never flat black backgrounds. Always multi-grid composition. Always per-scene variation. Always intentional color.

Modes

| Mode | Input | Output | Reference | |------|-------|--------|-----------| | **Video-to-ASCII** | Video file | ASCII recreation of source footage | `references/inputs.md` § Video Sampling | | **Audio-reactive** | Audio file | Generative visuals driven by audio features | `references/inputs.md` § Audio Analysis | | **Generative** | None (or seed params) | Procedural ASCII animation | `references/effects.md` | | **Hybrid** | Video + audio | ASCII video with audio-reactive overlays | Both input refs | | **Lyrics/text** | Audio + text/SRT | Timed text with visual effects | `references/inputs.md` § Text/Lyrics | | **TTS narration** | Text quotes + TTS API | Narrated testimonial/quote video with typed text | `references/inputs.md` § TTS Integration |

Stack

Single self-contained Python script per project. No GPU required.

| Layer | Tool | Purpose | |-------|------|---------| | Core | Python 3.10+, NumPy | Math, array ops, vectorized effects | | Signal | SciPy | FFT, peak detection (audio modes) | | Imaging | Pillow (PIL) | Font rasterization, frame decoding, image I/O | | Video I/O | ffmpeg (CLI) | Decode input, encode output, mux audio | | Parallel | concurrent.futures | N workers for batch/clip rendering | | TTS | ElevenLabs API (optional) | Generate narration clips | | Optional | OpenCV | Video frame sampling, edge detection |

Pipeline Architecture

Every mode follows the same 6-stage pipeline:

INPUT → ANALYZE → SCENE_FN → TONEMAP → SHADE → ENCODE

1. **INPUT** — Load/decode source material (video frames, audio samples, images, or nothing) 2. **ANALYZE** — Extract per-frame features (audio bands, video luminance/edges, motion vectors) 3. **SCENE_FN** — Scene function renders to pixel canvas (`uint8 H,W,3`). Composes multiple character grids via `_render_vf()` + pixel blend modes. See `references/composition.md` 4. **TONEMAP** — Percentile-based adaptive brightness normalization. See `references/composition.md` § Adaptive Tonemap 5. **SHADE** — Post-processing via `ShaderChain` + `FeedbackBuffer`. See `references/shaders.md` 6. **ENCODE** — Pipe raw RGB frames to ffmpeg for H.264/GIF encoding

Creative Direction

Aesthetic Dimensions

| Dimension | Options | Reference | |-----------|---------|-----------| | **Character palette** | Density ramps, block elements, symbols, scripts (katakana, Greek, runes, braille), project-specific | `architecture.md` § Palettes | | **Color strategy** | HSV, OKLAB/OKLCH, discrete RGB palettes, auto-generated harmony, monochrome, temperature | `architecture.md` § Color System | | **Background texture** | Sine fields, fBM noise, domain warp, voronoi, reaction-diffusion, cellular automata, video | `effects.md` | | **Primary effects** | Rings, spirals, tunnel, vortex, waves, interference, aurora, fire, SDFs, strange attractors | `effects.md` | | **Particles** | Sparks, snow, rain, bubbles, runes, orbits, flocking boids, flow-field followers, trails | `effects.md` § Particles | | **Shader mood** | Retro CRT, clean modern, glitch art, cinematic, dreamy, industrial, psychedelic | `shaders.md` | | **Grid density** | xs(8px) through xxl(40px), mixed per layer | `architecture.md` § Grid System | | **Coordinate space** | Cartesian, pola