Best use case
media is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Media processing = ffmpeg + imagemagick + sox.
Teams using media should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/media/SKILL.md --create-dirs "https://raw.githubusercontent.com/plurigrid/asi/main/plugins/asi/skills/media/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/media/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How media Compares
| Feature / Agent | media | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Media processing = ffmpeg + imagemagick + sox.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# media Media processing = ffmpeg + imagemagick + sox. ## Atomic Skills | Skill | Domain | |-------|--------| | ffmpeg | Video/audio | | imagemagick | Images | | sox | Audio | ## Video ```bash # Convert ffmpeg -i in.mov -c:v libx264 out.mp4 # Resize ffmpeg -i in.mp4 -vf scale=1280:-1 out.mp4 # GIF ffmpeg -i in.mp4 -vf "fps=10,scale=320:-1" out.gif ``` ## Audio ```bash # Extract ffmpeg -i video.mp4 -vn -c:a aac audio.m4a # Convert sox in.wav -r 44100 out.wav ``` ## Image ```bash # Resize convert in.png -resize 800x600 out.png # Format convert in.png out.jpg ``` ## Pipeline ```bash ffmpeg -i in.mp4 -f image2pipe - | convert - -resize 50% out.gif ``` ## 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.
Related Skills
We are still matching the closest adjacent skills for this page. In the meantime, continue through the full directory.