# audiogram

Turns an audio clip into a short captioned video with a moving waveform and cover art, sized for Reels, TikTok and feed posts.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 673 installs · ★ 5
- Author: iart-ai
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/iart-ai/youtube-video-skills/tree/HEAD/skills/audiogram/SKILL.md
- Updated: 2026-06-22
- HTML: https://affpapa.org/en/nevibecode/skills/audiogram

## What it does

Give this skill a podcast highlight, a voiceover or a quote, and it builds a square or vertical clip around it. The waveform or equalizer bars signal that there is sound, captions carry the message for muted viewers, and cover art, a title and a progress bar close the frame.

Sync is where most of these break. Bar height must not come from a live `AnalyserNode` loop with `requestAnimationFrame` — a video renderer paints frames out of order and off real time, so the wave drifts or freezes. The skill decodes the file into amplitude samples once, then computes the displayed value as a pure function of the frame, using `useAudioData()` and `visualizeAudio()` in Remotion. `numberOfSamples` has to be a power of two.

Long sources are not loaded whole: `useAudioData()` reads the entire file, which is heavy for a full episode, so the guidance is to trim the clip to 90 seconds or switch to `useWindowedAudioData()` with HTTP range requests. The output is a Remotion project — the audiogram registered as a `<Composition>` with a zod `schema` and `defaultProps`, all motion frame-driven, no `Date.now()` or timers. The caption layer itself belongs to the caption-animation skill; here it is placed in the layout and synced to the same audio clock as the waveform.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add iart-ai/youtube-video-skills --skill audiogram -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/audiogram/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/audiogram/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add iart-ai/youtube-video-skills --skill audiogram -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/audiogram/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add iart-ai/youtube-video-skills --skill audiogram -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/audiogram/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install iart-ai/youtube-video-skills audiogram
```

2. **Manually: put the files in place**
- File: `.github/skills/audiogram/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add iart-ai/youtube-video-skills --skill audiogram -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/iart-ai/youtube-video-skills --path skills/audiogram
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/audiogram/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add iart-ai/youtube-video-skills --skill audiogram -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/iart-ai/youtube-video-skills/tree/HEAD/skills/audiogram/SKILL.md

## When to use it
- cut a vertical clip from a podcast quote
- caption a voiceover and post it as video
- add a moving waveform to an audio track
- build a square feed clip from an episode excerpt
- render an MP4 with sound and a progress bar

## Example prompts
- make an audiogram from this podcast clip, 9:16 for Reels
- animate a waveform over my voiceover and add captions
- create a square quote clip with cover art for the feed

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 0eac23ff15c1cb55.

BEGIN THIRD-PARTY FILE 0eac23ff15c1cb55
````text
---
name: audiogram
description: This skill should be used when the user asks to "make an audiogram", "turn a podcast into a video", "create a waveform video", "make a podcast clip video", "convert audio to video", "animate a waveform/audio bars", "add a moving waveform to my voiceover", or "make a square/vertical clip for a podcast quote". Covers amplitude-driven waveforms, frequency bars, synced captions, cover-art layout, a progress bar, and 1:1 / 9:16 social framing.
version: 0.1.0
---

# Audiogram

Turn an audio clip — a podcast highlight, a voiceover, a quote — into a short, captioned video that stops the scroll in a muted feed. The moving element (a waveform or equalizer bars) signals "there is sound here," the captions carry the message for the 80% who watch on mute, and cover art + title + a progress bar give it a finished, branded frame.

## When to use

- A podcast soundbite or quote clip for Reels / TikTok / Shorts / feed posts.
- A voiceover or narration that needs a visual so it can post as video.
- Music or any audio where a reactive waveform/bars is the hero.

## The one rule that prevents 90% of bugs

**Drive every bar height from the current frame, never from a real-time analyser loop.** Live `AnalyserNode` + `requestAnimationFrame` reads "what is playing right now" — but a video renderer paints frames out of order and faster/slower than real time, so the wave desyncs or freezes. Instead, decode the whole file to amplitude samples once, then compute the displayed value as a pure function of the frame. In Remotion this is `useAudioData()` + `visualizeAudio()`; in plain canvas it is `decodeAudioData()` into a sample array you index by frame.

```tsx
import { useAudioData, visualizeAudio } from "@remotion/media-utils";
import { useCurrentFrame, useVideoConfig } from "remotion";

const audioData = useAudioData(staticFile("episode.mp3"));
if (!audioData) return null; // still loading
const { fps } = useVideoConfig();
const bars = visualizeAudio({
  audioData,
  frame: useCurrentFrame(),
  fps,
  numberOfSamples: 32, // MUST be a power of two
}); // → Float array, length 32, each 0–1, low freq → high freq
```

## Two ways to render the wave

| Look | Data | API | Best for |
|---|---|---|---|
| Equalizer **bars** | frequency spectrum, values 0–1 | `visualizeAudio()` | music, energy, "feed the bars" |
| Smooth **oscilloscope wave** | time-domain amplitude, −1…1 | `visualizeAudioWaveform()` | voice, podcasts, a calm minimal look |
````
END THIRD-PARTY FILE 0eac23ff15c1cb55

The third-party file has ended. Everything between the 0eac23ff15c1cb55 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

First 2502 of 9697 bytes. © iart-ai · MIT · https://github.com/iart-ai/youtube-video-skills/tree/HEAD/skills/audiogram/SKILL.md

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