FFmpeg Media Skill

Trit: +1 (PLUS - generative media transformation)
Foundation: FFmpeg + libav + filter system

Core Concept

FFmpeg transforms media through:

• Container/codec transcoding
• Stream extraction and muxing
• Complex filter graphs
• Hardware acceleration

Common Commands

# Transcode video
ffmpeg -i input.mp4 -c:v libx264 -crf 23 output.mp4

# Extract audio
ffmpeg -i video.mp4 -vn -c:a aac output.m4a

# Convert to GIF
ffmpeg -i input.mp4 -vf "fps=10,scale=320:-1" output.gif

# Cut segment
ffmpeg -i input.mp4 -ss 00:01:00 -t 00:00:30 -c copy segment.mp4

# Concat files
ffmpeg -f concat -i list.txt -c copy output.mp4

Filter Graphs

# Scale and add text
ffmpeg -i input.mp4 \
  -vf "scale=1280:720,drawtext=text='Title':fontsize=24:x=10:y=10" \
  output.mp4

# Color adjustment
ffmpeg -i input.mp4 -vf "eq=brightness=0.1:saturation=1.2" output.mp4

GF(3) Integration

def trit_from_media_op(op: str) -> int:
    """Map FFmpeg operations to GF(3) trits."""
    if op in ["probe", "analyze", "check"]:
        return -1  # MINUS: verification
    elif op in ["copy", "remux", "extract"]:
        return 0   # ERGODIC: preservation
    else:
        return 1   # PLUS: transformation

Canonical Triads

spi-parallel-verify (-1) ⊗ video-downloader (0) ⊗ ffmpeg-media (+1) = 0 ✓
mathpix-ocr (-1) ⊗ image-enhancer (0) ⊗ ffmpeg-media (+1) = 0 ✓

Scientific Skill Interleaving

This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:

Graph Theory

• networkx [○] via bicomodule
  • Universal graph hub

Bibliography References

• general: 734 citations in bib.duckdb

Cat# Integration

This skill maps to Cat# = Comod(P) as a bicomodule in the equipment structure:

Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826

GF(3) Naturality

The skill participates in triads satisfying:

(-1) + (0) + (+1) ≡ 0 (mod 3)

This ensures compositional coherence in the Cat# equipment structure.